Details of a Researcher - KUROKI Manabu

Papers - KUROKI Manabu

about 105

Instrumental variable estimation of average partial causal effects

Kawakami,Y., Kuroki, M. and Tian, J.

International Conference on Machine Learning 40 2023 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Single Work

Partially Adaptive Regularized Multiple Regression Analysis for Estimating Linear Causal Effects

Hisayoshi Nanmo, Manabu Kuroki

Thirty-Eighth Conference on Uncertainty in Artificial Intelligence 1456 - 1465 2022 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Single Work

Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information

Ryusei Shingaki, Manabu.Kuroki

Thirty-fifth Conference on Neural Information Processing Systems 35 2021.12 [Invited]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Effect restoration and measurement bias in causal inference

Manabu Kuroki, Judea Pearl

Biometrika 101 ( 2 ) 423 - 437 2014 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：OXFORD UNIV PRESS Joint Work

Sharp bounds on causal effects in case-control/cohort studies

Biometrika 97 ( 1 ) 123 - 132 2010 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：OXFORD UNIV PRESS Joint Work

Graphical identifiability criteria for average causal effects in studies with an unobserved treatment/response variable

Manabu Kuroki

Biometrika 94 37 - 47 2007 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Single Work

On recovering population's covariance matrix in the presence of selection bias

Manabu Kuroki, Zhihong Cai

Biometrika 93 601 - 611 2006 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Covariate selection for estimating the causal effect of control Plans using causal diagrams

Manabu Kuroki, Masami Miyakawa

Journal of the Royal Statistical Society, Series B 65 209 - 222 2003 [Reviewed] [Invited]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：BLACKWELL PUBL LTD Joint Work

Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference

H.Yoshida，M.Kuroki

The 33rd International Joint Conference on Artificial Intelligence 2024.8

DOI

Language：English Publishing type：Research paper (international conference proceedings) Single Work

Activity Report of the Technometrics Research Group

KUROKI Manabu, MATSUURA Shun, KOMODA Takehiro, KAWAKAMI Yuta, YOSHIDA Haruka

Journal of The Japanese Society for Quality Control 54 ( 3 ) 218 - 224 2024.7

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

Identification and estimation of conditional average partial causal effects

Y.Kawakami.,M.Kuroki.and Tian,J.

The 39th Conference on Uncertainty in Artificial Intelligence 2024.7

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Single Work

Probabilities of causation for continuous and vector variables

Y.Kawakami.,M.Kuroki.and Tian,J.

The 39th Conference on Uncertainty in Artificial Intelligence 2024.7

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Single Work

Identification and estimation of ``causes of effects'' using covariate-mediator information

R.Shingaki and M.Kuroki

The 27th International Conference on Artificial Intelligence and Statistics 2024.5 [Reviewed]

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Single Work

New criteria for discrimination based on the adjustment of non-sensitive features

R.Shingaki and M.Kuroki

The International Symposium on Artificial Intelligence and Mathematics 2024 [Reviewed]

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Single Work

Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable

Kawakami, Y; Kuroki, M; Tian, J

UNCERTAINTY IN ARTIFICIAL INTELLIGENCE 244 1922 - 1952 2024

Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Identification and Estimation of "Causes of Effects" using Covariate-Mediator Information

Shingaki, R; Kuroki, M

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238 238 2024

Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Principal Variable Section Criteria using Inverse Partial Correlation Matrix and the Characterization based on Graphical Models

YOSHIDA Haruka, KUROKI Manabu

Journal of The Japanese Society for Quality Control 53 ( 4 ) 239 - 251 2023.10

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

Principal component analysis (PCA) is one of the powerful statistical tools to transform a large
number of original variables into a smaller set of variables that still contains most of the correlation
information in statistical data. However, note that the principal components are formulated as the
linear combinations of all the original variables. Thus, when we wish to evaluate the principal components
for individuals of interest, it is necessary to observe all the original variables of the individuals.
To solve the problem, McCabe (1984) proposed the principal variable (PV) selection criteria from the
perspective of principal component analysis, and de Falguerolles and Jmel (1993) reviewed the PV
selection problems from the viewpoint of Gaussian graphical modeling. However, McCabe (1984) or
de Falguerolles and Jmel (1993) did not discuss the mathematical properties of their proposed PV
selection criteria. Taking it into account, this paper proposes novel PV selection criteria based on the
inverse partial correlation matrix from the perspective of McCabe (1984) and de Falguerolles and
Jmel (1993), and clarifies the mathematical properties in terms of the undirected independence graph.

Risk Factors for Concussion in Under 18, Under 22 and Professional Men's Rugby Union: A Video Analysis of 14,809 Tackles

Kawasaki, T; Kawakami, Y; Nojiri, S; Hasegawa, Y; Kuroki, M; Sobue, S; Shibuya, K; Takazawa, Y; Ish … Show more authors

SPORTS MEDICINE-OPEN 9 ( 1 ) 2023.10

DOI Web of Science PubMed

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Association between number of medications and hip fractures in Japanese elderly using conditional logistic LASSO regression

Uematsu, T; Kawakami, Y; Nojiri, S; Saito, T; Irie, Y; Kasai, T; Hiratsuka, Y; Ishijima, M; Kuroki, … Show more authors

SCIENTIFIC REPORTS 13 ( 1 ) 2023.10

DOI Web of Science PubMed

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Case fatality rate considering the lag time from the onset of COVID-19 infection to related death from 2020 to 2022 in Japan

Nojiri, S; Kawakami, Y; Nakamoto, D; Kuroki, M; Nishizaki, Y

IJID REGIONS 8 36 - 48 2023.9

DOI Web of Science PubMed

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

An unbiased estimator of the causal effect on the variance based on the back-door criterion in Gaussian linear structural equation models

Tezuka Taiki, Kuroki Manabu

JOURNAL OF MULTIVARIATE ANALYSIS 197 2023.5 [Reviewed]

DOI Web of Science

Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Joint Work

The estimated causal effect on the variance based on the front-door criterion in Gaussian linear structural equation models: an unbiased estimator with the exact variance

Kuroki Manabu, Tezuka Taiki

STATISTICAL PAPERS 2023.4

DOI Web of Science

Authorship：Lead author Language：English Publishing type：Research paper (scientific journal) Joint Work

Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan

Kawakami Yuta, Nojiri Shuko, Nakamoto Daisuke, Irie Yoshiki, Miyazawa Satoshi, Kuroki Manabu, Nishi … Show more authors

SCIENTIFIC REPORTS 13 ( 1 ) 2023.1 [Reviewed]

DOI Web of Science PubMed

Language：English Publishing type：Research paper (scientific journal) Joint Work

線形構造方程式モデルにおけるフロントドア推定量と操作変数推定量の統合化による総合効果の推定について

丸山凌平・手塚大樹・黒木学

応用統計学 51 ( 3 ) 2023 [Reviewed]

Language：Japanese Publishing type：Research paper (scientific journal) Single Work

Information-Theoretic Principal Variable Selection Criterion and Its Properties

Yoshida Haruka, Kuroki Manabu

Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 50 ( 2 ) 49 - 59 2023

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Behaviormetric Society Joint Work

Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information

Shingaki, R; Kuroki, M

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 10 12287 - 12294 2023

Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance

Kawakami, Y; Shingaki, R; Kuroki, M

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 10 12234 - 12242 2023

Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Structure-antioxidant activity (oxygen radical absorbance capacity) relationships of phenolic compounds

Sakurai Shuhei, Kawakami Yuta, Kuroki Manabu, Gotoh Hiroaki

STRUCTURAL CHEMISTRY 33 ( 4 ) 1055 - 1062 2022.8 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Joint Work

The Integrated Estimator of the Total Effect using the Effect Restoration Method and the Conditional Instrumental Variable Method

HIGASHIKAWA Tomoki, TAGUCHI Chie, KUROKI Manabu, MIYAKAWA Masami

Journal of The Japanese Society for Quality Control 52 ( 3 ) 165 - 177 2022.7

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

When cause-effect relationships in the process can be described by a linear structural equation model and the corresponding directed acyclic graph, this paper considers a situation where both the conditional instrumental variable method and the effect restoration method are applicable to estimating the total effect. In this situation, generally, there is no qualitative superiority/inferiority relationships between these two estimation methods in terms of the estimation accuracy of the total effect. Taking this into account, in order to estimate the total effect with better estimation accuracy, we propose a novel integrated estimator based on these two estimation methods. In addition, through numerical experiments, from the viewpoint of the estimation accuracy of the total effect, we show that ( i ) the integrated estimator is better than the individual estimators, and ( ii ) in some situations,the integrated estimator is better than the ordinary least squares ( OLS ) estimator even when the OLS estimator is better than the individual estimators.

Changes in social environment due to the state of emergency and Go To campaign during the COVID-19 pandemic in Japan: An ecological study

Kanamori, R; Kawakami, Y; Nojiri, S; Miyazawa, S; Kuroki, M; Nishizaki, Y

PLOS ONE 17 ( 4 ) 2022.4

DOI Web of Science PubMed

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Changes in social environment due to the state of emergency and Go To campaign during the COVID-19 pandemic in Japan: an ecological study

R. Kanamori,Y. KawakamiS. Miyazawa, M. Kuroki and Y.Nishizaki

PLOS ONE 2022 [Reviewed]

Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Single Work

The impact of declaring the state of emergency on human mobility during COVID-19 pandemic in Japan

Nakamoto Daisuke, Nojiri Shuko, Taguchi Chie, Kawakami Yuta, Miyazawa Satoshi, Kuroki Manabu, Nishi … Show more authors

CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 17 2022

DOI Web of Science PubMed

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

On the Integration of the Front-Door Estimator and the Instrumental Variable Estimator for Evaluating the Total Effect

Maruyama Ryohei, Tezuka Taiki, Kuroki Manabu

Ouyou toukeigaku 51 ( 3 ) 91 - 108 2022

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

This paper assumes that cause-effect relationships in the process can be described by a linear structural equation model and the corresponding directed acyclic graph. When unmeasured confounders exist, we consider a situation where the total effect can be estimated by both the instrumental variable estimator and the front-door estimator. In this situation, there is no qualitative superiority/inferiority relationship between these two estimators in terms of the estimation accuracy of the total effects. Taking this into account, in order to estimate the total effect with better estimation accuracy, we propose a novel integrated estimator based on these two estimators. In addition, through numerical experiments, from the viewpoint of the estimation accuracy of the total effects, we show that (i) the integrated estimator is better than the individual estimators, and (ii) in some situations, the integrated estimator is better than the back-door estimator even when the back-door estimator is better than the individual estimators.

Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models

Nanmo Hisayoshi, Kuroki Manabu

JOURNAL OF MULTIVARIATE ANALYSIS 185 2021.9 [Reviewed]

DOI Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Clusterwise Multivariate Kernel Ridge Regression Analysis with an Application

Kawakami Yuta, Kuroki Manabu

Ouyou toukeigaku 50 ( 1 ) 1 - 20 2021.8

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

This paper considers a situation where multiple explanatory variables and multiple objective variables are observed from several populations. When observed data with multiple explanatory variables together with a single objective variable is available from the uncertain number of populations, a clusterwise regression analysis has been proposed to obtain an efficient regression model. In this paper, we propose a clusterwise multivariate kernel ridge regression analysis to analyze nonlinear data including both multiple explanatory variables and multiple objective variables from several populations. In addition, through a numerical experiment and a case study, we show that the performance of the clusterwise multivariate kernel ridge regression analysis is superior to those of traditional k-means cluster analysis and kernel k-means cluster analysis.

Other Link： https://ci.nii.ac.jp/naid/130008071055

Ⅵ.New Activities from 2011 to 2020

KUROKI Manabu

Journal of The Japanese Society for Quality Control 51 ( 3 ) 207 - 208 2021.7

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Single Work

On the Change of the Linear Regression Model through the External Intervention

KUROKI Manabu, TAGUCHI Chie, KAWAKAMI Yuta, KOBAYASHI Teruki

Journal of The Japanese Society for Quality Control 51 ( 3 ) 239 - 246 2021.7

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

In the framework of linear regression analysis of Y on X , we focus on statistical phenomena that the value of the standard partial regression coefficient of X on Y exceeds one by adding an explanatory variable Z. Then, based on (1) the correlation coefficient between X and Z and (2) the angle between the simple regression model and the causal effect on the mean, we discuss “ how much the value of the regression coefficient of X on Y could be changed by adding Z.” In particular, we provide examples that (i) the value of the standard partial regression coefficient can exceed one even for a non-null but small correlation between X and Z , and (ii) the value of standard regression coefficient could be taken within the range (－∞, ∞).

Proportion of treatment effect mediated by surrogate endpoints

Kuroki Manabu, Shingaki Ryusei, Qu Yongming

BIOMETRICAL JOURNAL 63 ( 1 ) 105 - 121 2021.1 [Reviewed]

DOI Web of Science PubMed

Language：English Publishing type：Research paper (scientific journal) Joint Work

Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information

Shingaki Ryusei, Kuroki Manabu

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021) 34 2021

Web of Science

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

クラスタワイズ多変量カーネルリッジ回帰分析法とその応用

黒木学

応用統計学 50 1 - 20 2021 [Reviewed]

CiNii Research

Language：The in addition, foreign language Publishing type：Research paper (scientific journal) Single Work

Selection and integration of generalized instrumental variables for estimating total effects

Shingaki Ryusei, Kanda Hiroshi, Kuroki Manabu

STATISTICAL PAPERS 62 ( 5 ) 2355 - 2381 2020.6 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Joint Work

Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models

Kuroki Manabu, Nanmo Hisayoshi

ASTA-ADVANCES IN STATISTICAL ANALYSIS 104 ( 4 ) 667 - 685 2020.6 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Joint Work

Properties of the Weighted Conditional Instrumental Variable (CIV) Estimator with an Application Process Analysis

KANDA Hiroshi, KUROKI Manabu

Journal of The Japanese Society for Quality Control 50 ( 2 ) 148 - 158 2020.4 [Reviewed]

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

When cause-effect relationships can be described as a linear structural equation model,Brito and Pearl (2002) proposed the conditional instrumental variable (CIV) method to identify the total effect.In this paper,when there are several CIVs,we propose the weighted CIV estimators for the total effect with the better estimation accuracy.

Other Link： https://ci.nii.ac.jp/naid/130007882044

Predictive Principal Variable Selection Criteria for Linear Regression Analysis with Applications to Statistical Quality Control-Case Studies-

KUROKI Manabu, MATSUURA Shun

Journal of The Japanese Society for Quality Control 50 ( 1 ) 4 - 11 2020.1

DOI CiNii Research

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

In this paper, we provide three applications of the predictive principal variable selection criteria proposed by Kuroki and Matsuura (2018) in linear regression analysis.

Other Link： https://ci.nii.ac.jp/naid/130007845441

New Traffic Conflict Measure Based on a Potential Outcome Model

K.Yamada and M.Kuroki

Journal of Causal Inference 7 ( 1 ) 2019.1 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://doi.org/10.1515/jci-2018-0001

Predictive Principal Variable Selection Criteria for Linear RegressionAnalysis with Applications to Statistical Quality Control-Basic Idea-

KUROKI Manabu, MATSUURA Shun

Journal of The Japanese Society for Quality Control 49 ( 4 ) 293 - 298 2019

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Quality Control Joint Work

This paper considers a variable selection problem in linear regression analysis when multicollinear- ity exists between explanatory variables. To solve the problem, we review "predictive principal variable(PPV) selection criteria" proposed by Kuroki and Matsuura[1] he PPV selection criteria are formulated based on the fact that the covariance matrix of estimated regression coeﬃcients comprises two parts: the residual sum of squares of a response variable for the given explanatory variables, and the design matrix of the explanatory variables. Given the PPV selection criteria, the variable selection procedure (PPV method) incorporates stopping rules without employing statistical hypothesis testing or subjective judgments. In addition, comparing the PPV method with existing variable selection criteria, the PPV method(i) enables selection of a subset of explanatory variables that take both prediction accuracy and degree of multicollinearity into account,and (ii) is useful for high-dimensional data analysis according to Pareto's principle under the assumption that the sample size is smaller than the number of the whole explanatory variables but not than the number of important explanatory variables.

Other Link： https://ci.nii.ac.jp/naid/130007834386

Predictive Principal Variable Selection for Linear Regression Analysis

Manabu Kuroki, Shun Matsuura

Journal of the Japanese Society for Quality Control 48 ( 1 ) 90 - 104 2018.1 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Counterfactual based Prevented and Preventable Proportions

Kentaro Yamada, Manabu Kuroki

Journal of Causal Inference 5 ( 2 ) 2193 - 3685 2017.9 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：WALTER DE GRUYTER GMBH Joint Work

データの線形構造を考慮したクラスター分析法と解析結果のビジュアル化について

黒木学,山下遥

日本経営工学会誌 68 ( 1 ) 1 - 12 2017.4 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Discussion on "A Bayesian information criterion for singular models" by Mathias Drton and Martyn Plummer

Toru Imai, Manabu Kuroki

Journal of the Royal Statistical Society, Series B ( 79 ) 363 - 364 2017 [Invited]

Language：English Publishing type：Research paper (scientific journal) Joint Work

New Traffic Conflict Measures Using Potential Outcome Models

YAMADA Kentaro,KUROKI Manabu

Japanese journal of applied statistics 45 ( 1-2 ) 1 - 24 2016.10 [Reviewed]

DOI J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jappstat/45/1-2/45_1/_article/-char/ja/

Estimation accuracies of causal effets using supplementary variables

Manabu Kuroki, Takahiro Hayashi

Scandinavian Journal of Statistics 43 505 - 519 2016.6 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

The development of statistical models for predicting surgical site infections in Japan: Toward a statistical model-based standardized infection ratio

Haruhisa Fukuda, Manabu Kuroki

Infection Control and Hospital Epidemiology 37 ( 3 ) 260 - 271 2016.3 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：CAMBRIDGE UNIV PRESS Joint Work

The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable

Manabu Kuroki

Scandinavian Journal of Statistics 43 ( 1 ) 228 - 245 2016.3 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：WILEY Single Work

Equivalence between direct and indirect effects with different sets of intermediate variables and covariates

Bernoulli ( 22 ) 421 - 443 2016.2 [Reviewed]

DOI

Language：English Publishing type：Research paper (scientific journal) Single Work

Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations

Takashi Isozaki, Manabu Kuroki

New Generation Computing 35 ( 1 ) 29 - 45 2016

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：SPRINGER Joint Work

Causal measures of the treatment effect captured by candidate surrogate endpoints

Fumiaki Kobayashi, Manabu Kuroki

Journal of Agricultural, Biological, and Environmental Statistics 20 ( 3 ) 409 - 430 2015.9 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：SPRINGER Joint Work

Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations

Takashi Isozaki, Manabu Kuroki

The 2nd Workshop on Advanced Methodologies for Bayesian Networks 196 - 209 2015 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

On the Estimation Accuracy of the Total Effect Using Intermediate Characteristics

KUROKI Manabu,HAYASHI Takahiro

44 ( 4 ) 429 - 440 2014.10 [Reviewed]

DOI J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/quality/44/4/44_KJ00009692544/_article/-char/ja/

Probabilities of Causation and Their Evaluations

Manabu KUROKI

62 ( 1 ) 45 - 58 2014.6 [Reviewed]

J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Single Work

A new proportion measure of the treatment effect captured by candidate surrogate endpoints

Fumiaki Kobayashi, Manabu Kuroki

Statistics in Medicine 33 ( 19 ) 3338 - 3353 2014.4 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：WILEY Joint Work

On estimating causal effects based on supplemental variables

Manabu Kuroki, Takahiro Hayashi

The 15th International Conference on Artificial Intelligence and Statistics 312 - 319 2014 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Medical diagnostic test based on the potential test result approach

Akiko Kada, Zhihong Cai, Manabu Kuroki

Journal of Applied Statistics 40 1659 - 1672 2013.8 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Toward the rational use of standardized infection ratios to benchmark surgical site infections

Fukuda H, Morikane K, Kuroki M, Taniguchi S, Shinzato T, Sakamoto F, Okada K, Matsukawa H, Ieiri Y, … Show more authors

American Journal of Infection Control 41 ( 9 ) 810 - 814 2013.8 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：ELSEVIER Joint Work

The Kernel Principal Variable Method and Its Application

SANO Natsuki,KUROKI Manabu

43 ( 3 ) 387 - 400 2013.7 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/quality/43/3/43_KJ00008761436/_article/-char/ja/

Investigation of Physical Factors Affecting the Function and Sensitivity of Familiar Streetscapes in Japan and China

LI Li,SHIMOKAWA Toshio,YANG Kun,KUROKI Manabu,OYAMA Isao,KITAMURA Shinichi

Journal of Japan Society of Kansei Engineering 12 ( 3 ) 369 - 378 2013.6 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Transactions of Japan Society of Kansei Engineering Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jjske/12/3/12_369/_article

Sharp bounds on the causal effect using a surrogate endpoint

Manabu Kuroki

Statistics in Medicine 32 4338 - 4347 2013.6 [Reviewed]

DOI

Language：English Publishing type：Research paper (scientific journal) Single Work

Impact of surgical site infections after open and laparoscopic colon and rectal surgeries on postoperative resource consumption

Fukuda H, Morikane K, Kuroki M, Kawai S, Hayashi K, Ieiri Y, Matsukawa H, Okada K, Sakamoto F, Shin … Show more authors

Infection 40 ( 6 ) 679 - 659 2013 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：SPRINGER Joint Work

Discussion on "Experimental designs for identifying causal mechanisms" by Kosuke Imai, Dustin Tingley and Teppei Yamamoto

Manabu Kuroki

Journal of the Royal Statistical Society, Series A ( 173 ) 37 - 38 2012.11 [Reviewed] [Invited]

Language：English Publishing type：Research paper (scientific journal) Single Work

On the Structural Causal Model

KUROKI Manabu,KOBAYSHI Fumiaki

32 ( 2 ) 119 - 144 2012.3 [Reviewed] [Invited]

DOI J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jjb/32/2/32_119/_article/-char/ja/

Optimizing a control plan using causal diagram with an application to statistical process analysis

Manabu Kuroki

Journal of Applied Statistics 39 673 - 694 2012 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Single Work

The Kernel Based MT Method and Its Application

SANO Natsuki,KUROKI Manabu

42 ( 1 ) 127 - 138 2012 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/quality/42/1/42_KJ00007905703/_article/-char/ja/

On the Weak Collapsibility Condition in Logistic Regression Models

MIZUSEKI Hiroto,KUROKI Manabu

42 139 - 147 2012 [Reviewed]

DOI J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/quality/42/1/42_KJ00007905704/_article/-char/ja/

On the Detectability of Confirmatory Orthogonal Two Factor Models without Correlated Errors

MIZUSEKI Hiroto,KUROKI Manabu

Japanese Society of Applied Statistics 41 129 - 152 2012 [Reviewed]

DOI J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jappstat/41/3/41_129/_article/-char/ja/

Weak Collapsibility Condition in a Linear Regression Model by using an Undirected Independence Gra

KUROKI Manabu,MIZUSEKI Hiroto

41 ( 2 ) 250 - 259 2011 [Reviewed]

J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Statistical analysis of probabilities of causation using covariate information

Manabu Kuroki, Zhihong Cai

Scandinavian Journal of Statistics 38 564 - 577 2011 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Using descendants as instrumental variables for the identification of direct causal effects in linear SEMs

Hei Chan, Manabu Kuroki

The 13th International Conference on Artificial Intelligence and Statistics 73 - 80 2010 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

The formulation of causal effects in dynamic systems

Ryusei Shingaki, Manabu Kuroki

International Journal of Biomedical Soft Computing and Human Sciences 15 9 - 19 2010 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Graphical Identification Conditions for Causal Effects Using Linear Structural Equation Models

KUROKI Manabu,CHAN Hei,

Journal of Japanese Society for Artificial Intelligence 25 ( 6 ) 819 - 825 2010 [Reviewed] [Invited]

J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society for Artificial Intelligence Joint Work

無向独立グラフによる1因子モデルの特徴づけとその応用

黒木学, 渡邊創人

日本品質管理学会誌 40 55 - 63 2010 [Reviewed]

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Partial orientation and local structural learning of DAGs for prediction

J.Yin, Z.Geng, M.Kuroki and Z. Cai et al

The 2008 IEEE World Congress on Computational Intelligence 305 2008 [Reviewed] [Invited]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Local learning of causal structures based on kernel association measures

J．Yin, Z．Geng, M．Kuroki and Z．Cai

The 2008 IEEE World Congress on Computational Intelligence 305 2008 [Reviewed] [Invited]

Language：English Publishing type：Research paper (scientific journal) Joint Work

The evaluation of causal effects in studies with an unobserved exposure/outcome Variable: Bounds and Identification

Manabu Kuroki, Zhihong Cai

The 24th Conference on Uncertainty in Artificial Intelligence 333 - 340 2008 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

The Evaluation of Causal Effects on the Variance and its Application to Process Analysis

KUROKI Manabu

JOURNAL OF THE JAPANESE SOCIETY FOR QUALITY CONTROL 38 ( 3 ) 87 - 98 2008 [Reviewed]

J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：THE JAPANESE SOCIETY FOR QUALITY CONTROL Single Work

Bounds on direct effects in the presence of confounded intermediate variables

Zhihong Cai, Manabu Kuroki, Judea Pearl, Jin Tian

Biometrics 64 ( 3 ) 695 - 701 2008 [Reviewed]

DOI Web of Science

Language：English Publishing type：Research paper (scientific journal) Publisher：BLACKWELL Joint Work

Formulating tightest bounds on causal effects in studies with unmeasured confounders

Manabu Kuroki, Zhihong Cai

Statistics in Medicine 27 6597 - 6611 2008 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Evaluation of the causal effect of control plans in non-recursive structural equation models

Manabu Kuroki, Zhihong Cai

The 23rd Conference on Uncertainty in Artificial Intelligence 227 - 234 2007 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Statistical Causal Inference : The Role of Bayesian Networks in Identifiability Problems for Causal Effects(<Special Issue>Development of Bayesian Networks and Probabilistic Information Processing)

KUROKI Manabu

Journal of Japanese Society for Artificial Intelligence 22 ( 3 ) 328 - 335 2007 [Reviewed] [Invited]

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society for Artificial Intelligence Single Work

Other Link： http://id.nii.ac.jp/1004/00006742/

Identificability Criteria for Total Effects in the Presence of Unmeasured Confounders

KUROKI Manabu

36 ( 2/3 ) 71 - 85 2007 [Reviewed]

J-GLOBAL

Language：Japanese Publishing type：Research paper (scientific journal) Single Work

Nonparametric bounds of treatment effects with noncompliance by covariate adjustment

Zhihong Cai, Manabu Kuroki, Tosiya Sato

Statistics in Medicine 26 3188 - 3204 2007 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Stratified analysis of “probabilities of causation”

Manabu Kuroki, Zhihong Cai

The 22nd Conference on Uncertainty in Artificial Intelligence 249 - 256 2006 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Variance estimators for three probabilities of causation

Zhihong Cai, Manabu Kuroki

Risk Analysis 25 1611 - 1620 2005 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Selection of identifiability criteria for total effects by using path diagrams

Manabu Kuroki, Zhihong Cai

The 20th Conference on Uncertainty in Artificial Intelligence 333 - 340 2004 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

On estimable effects and aliasing patterns in Shainin's Variable Search

Zhihong Cai, Masami Miyakawa, Manabu Kuroki

Journal of the Japanese Society for Quality Control 34 407 - 418 2004 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

CLUSTERING ALGORITHM THROUGH THE COMMON LINEARITY TREND AMONG CLUSTERS AND ITS APPLICATION

KUROKI Manabu,HIRATA Masaru,MIYAKAWA Masami

16 157 - 166 2004 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jscswabun/16/2/16_KJ00002475743/_article/-char/ja/

Joint causal effect in linear structural equation model and its application to process analysis

Manabu Kuroki, Masami Miyakawa, Zhihong Cai

The 9th International Workshop on Artificial Intelligence and Statistics 70 - 77 2003 [Reviewed]

Language：English Publishing type：Research paper (international conference proceedings) Joint Work

Instrumental Variable(IV)Selection for Estimating Total Effects in Conditional IV Method

KUROKI Manabu,MIYAKAWA Masami,KAWATA Ryohei

Japanese Journal of Appliced Statistics 32 157 - 166 2003 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jappstat1971/32/2/32_2_89/_article/-char/ja/

Joint Intervention Effects in Linear Structural Equation Model through Linear Regression Parameters

KUROKI Manabu,MIYAKAWA Masami

Japanese Journal of Applied Statistics 31 ( 2 ) 107 - 121 2002 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jappstat1971/31/2/31_2_107/_article/-char/ja/

回帰モデルにおける併合可能性条件と共変量選択

宮川雅巳,黒木学,小林史明

日本品質管理学会誌 33 128 - 133 2002 [Reviewed]

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

The graphical condition for identifying arrows in recovering causal structure

Manabu Kuroki, Tomoyoshi Kikuchi, Masami Miyakawa

Journal of the Japanese Statistical Society 31 175 - 185 2001 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Selection of post-treatment variables for estimating Total effect from empirical research

Manabu Kuroki

Journal of the Japanese Statistical Society 30 129 - 142 2000 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Single Work

因果ダイアグラムにおける介入効果の推定と工程解析への応用

黒木学, 宮川雅巳

日本品質管理学会誌 29 237 - 247 1999 [Reviewed]

Language：Japanese Publishing type：Research paper (scientific journal) Joint Work

Covariate Selection for Estimating Effect of Intervention in Causal Diagram

MIYAKAWA Masami,KUROKI Manabu

Japanese Journal of Applied Statistics 28 ( 3 ) 151 - 162 1999 [Reviewed]

DOI

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Applied Statistics Joint Work

Other Link： https://www.jstage.jst.go.jp/article/jappstat1971/28/3/28_3_151/_article/-char/ja/

Identifiability criteria for causal effects of joint interventions

Manabu Kuroki,Masami Miyakawa

Journal of the Japanese Statistical Society 29 105 - 117 1999 [Reviewed]

Language：English Publishing type：Research paper (scientific journal) Joint Work

Estimation of Conditional Intervention Effect in Adaptive Control

KUROKI Manabu,MIYAKAWA Masami

JOURNAL OF THE JAPANESE SOCIETY FOR QUALITY CONTROL 29 ( 4 ) 476 - 486 1999 [Reviewed]

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：THE JAPANESE SOCIETY FOR QUALITY CONTROL Joint Work

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Papers - KUROKI Manabu