The International Journal of Biostatistics

2005 - 2025

Current editor(s): Antoine Chambaz, Alan E. Hubbard and Mark J. van der Laan

From De Gruyter
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Volume 17, issue 2, 2021

Targeted design for adaptive clinical trials via semiparametric model pp. 177-190

Zhang Hongbin, Yuan Ao and Tan Ming T.

Causal mediation analysis in presence of multiple mediators uncausally related pp. 191-221

Jérolon Allan, Baglietto Laura, Birmelé Etienne, Alarcon Flora and Perduca Vittorio

Summarizing causal differences in survival curves in the presence of unmeasured confounding pp. 223-240

Martínez-Camblor Pablo, MacKenzie Todd A., Staiger Douglas O., Goodney Phillip P. and O’Malley A. James

Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models pp. 241-266

Selig Katharina, Shaw Pamela and Ankerst Donna

Marginal quantile regression for longitudinal data analysis in the presence of time-dependent covariates pp. 267-282

Chen I-Chen and Westgate Philip M.

Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up pp. 283-293

McVittie James, Wolfson David, Stephens David, Addona Vittorio and Buckeridge David

Effects of covariates on alternating recurrent events in accelerated failure time models pp. 295-315

Chatterjee Moumita and Sen Roy Sugata

Gradient boosting for linear mixed models pp. 317-329

Griesbach Colin, Säfken Benjamin and Waldmann Elisabeth

A kernel- and optimal transport- based test of independence between covariates and right-censored lifetimes pp. 331-348

Rindt David, Sejdinovic Dino and Steinsaltz David

Volume 17, issue 1, 2021

The method of envelopes to concisely calculate semiparametric efficient scores under parametric restrictions pp. 1-5

Frangakis Constantine E.

A machine learning-based approach for estimating and testing associations with multivariate outcomes pp. 7-21

Benkeser David, Mertens Andrew, Colford John M., Hubbard Alan, Arnold Benjamin F., Stein Aryeh and J. van der Laan Mark

Shrinkage estimation applied to a semi-nonparametric regression model pp. 23-38

Zareamoghaddam Hossein, Ahmed Syed E. and Provost Serge B.

Multivariate quasi-beta regression models for continuous bounded data pp. 39-53

Petterle Ricardo R., Bonat Wagner H., Scarpin Cassius T., Jonasson Thaísa and Borba Victória Z. C.

Integrative analysis with a system of semiparametric projection non-linear regression models pp. 55-74

Yuan Ao, Wu Tianmin, Fang Hong-Bin and Tan Ming T.

Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation pp. 75-97

Georges Bresson, Anoop Chaturvedi, Mohammad Arshad Rahman and Shalabh

Alternatives to the Kaplan–Meier estimator of progression-free survival pp. 99-115

Zhang Jenny J, Sun Zhuoxin, Yuan Han and Wang Molin

Two-stage receiver operating-characteristic curve estimator for cohort studies pp. 117-137

Díaz-Coto Susana, Corral-Blanco Norberto Octavio and Martínez-Camblor Pablo

Estimating the area under a receiver operating characteristic curve using partially ordered sets pp. 139-152

Zamanzade Ehsan and Wang Xinlei

Modelling ethnic differences in the distribution of insulin resistance via Bayesian nonparametric processes: an application to the SABRE cohort study pp. 153-164

Molinari Marco, Maria de Iorio, Chaturvedi Nishi, Hughes Alun and Tillin Therese

Co-localization analysis in fluorescence microscopy via maximum entropy copula pp. 165-175

Farsani Zahra Amini and Schmid Volker J.

Volume 16, issue 2, 2020

Derivation of Passing–Bablok regression from Kendall’s tau pp. 00

Dufey Florian

An extended trivariate vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable outcomes pp. 00

Nikoloulopoulos Aristidis K.

Variable selection for high-dimensional quadratic Cox model with application to Alzheimer’s disease pp. 10

Li Cong and Sun Jianguo

A Parametric Bootstrap for the Mean Measure of Divergence pp. 11

Zertuche F. and Meza-Peñaloza A.

An iterative algorithm for joint covariate and random effect selection in mixed effects models pp. 12

Delattre Maud and Poursat Marie-Anne

Direct effect and indirect effect on an outcome under nonlinear modeling pp. 13

Wang Kai

Super Learner for Survival Data Prediction pp. 13

Golmakani Marzieh K. and Polley Eric C.

GAMLSS for high-variability data: an application to liver fibrosis case pp. 14

Marletta Andrea and Sciandra Mariangela

A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection pp. 15

Mutshinda Crispin M., Irwin Andrew J. and Sillanpää Mikko J.

Model-based random forests for ordinal regression pp. 17

Buri Muriel and Hothorn Torsten

Inference for the Analysis of Ordinal Data with Spatio-Temporal Models pp. 21

Peraza-Garay F., Márquez-Urbina J. U. and González-Farías G.

Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator pp. 36

Cai Weixin and Mark van der Laan

Volume 16, issue 1, 2020

Simple Quasi-Bayes Approach for Modeling Mean Medical Costs pp. 10

Yoon Grace, Jiang Wenxin, Liu Lei and Ya-Chen Shih

Simple Quasi-Bayes Approach for Modeling Mean Medical Costs pp. 10

Yoon Grace, Jiang Wenxin, Liu Lei and Ya-Chen Shih

Efficient Nonparametric Causal Inference with Missing Exposure Information pp. 11

Kennedy Edward H.

Efficient Nonparametric Causal Inference with Missing Exposure Information pp. 11

Kennedy Edward H.

Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS) pp. 12

Gelsinger Megan L., Tupper Laura L. and Matteson David S.

Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS) pp. 12

Gelsinger Megan L., Matteson David S. and Tupper Laura L.

Simultaneous Inference of Treatment Effect Modification by Intermediate Response Endpoint Principal Strata with Application to Vaccine Trials pp. 14

Zhuang Yingying, Huang Ying and Gilbert Peter B.

Bayesian Two-Stage Adaptive Design in Bioequivalence pp. 15

Liu Shengjie, Gao Jun, Zheng Yuling, Huang Lei and Yan Fangrong

Bayesian Two-Stage Adaptive Design in Bioequivalence pp. 15

Liu Shengjie, Gao Jun, Zheng Yuling, Huang Lei and Yan Fangrong

On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging pp. 16

Gares Valérie, Dimeglio Chloé, Guernec Grégory, Fantin Romain, Lepage Benoit, Kosorok Michael R. and Savy Nicolas

On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging pp. 16

Gares Valérie, Dimeglio Chloé, Guernec Grégory, Fantin Romain, Lepage Benoit, Kosorok Michael R. and Savy Nicolas

Incorporating Contact Network Uncertainty in Individual Level Models of Infectious Disease using Approximate Bayesian Computation pp. 17

Almutiry Waleed and Deardon Rob

Incorporating Contact Network Uncertainty in Individual Level Models of Infectious Disease using Approximate Bayesian Computation pp. 17

Almutiry Waleed and Deardon Rob

Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling pp. 18

Papastamoulis Panagiotis, Furukawa Takanori, Norman van Rhijn, Bromley Michael, Bignell Elaine and Rattray Magnus

Bayesian Autoregressive Frailty Models for Inference in Recurrent Events pp. 18

Tallarita Marta, Maria De Iorio, Guglielmi Alessandra and Malone-Lee James

Bayesian Autoregressive Frailty Models for Inference in Recurrent Events pp. 18

Tallarita Marta, Maria De Iorio, Guglielmi Alessandra and Malone-Lee James

Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling pp. 18

Papastamoulis Panagiotis, Furukawa Takanori, Norman van Rhijn, Bromley Michael, Bignell Elaine and Rattray Magnus

Exploration of Heterogeneous Treatment Effects via Concave Fusion pp. 26

Ma Shujie, Zhang Zhiwei, Huang Jian and Liu Mingming

Exploration of Heterogeneous Treatment Effects via Concave Fusion pp. 26

Ma Shujie, Huang Jian, Zhang Zhiwei and Liu Mingming