Statistics in Biosciences

2016 - 2026

Current editor(s): Hongyu Zhao and Xihong Lin

From:
Springer
International Chinese Statistical Association
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Volume 18, issue 1, 2026

Joint Analysis of Two Time-to-Event Outcomes Using a Product Partition Model Accounting for Semi-competing Risks pp. 1-20

Kang Lei, Satoshi Morita, Shogo Nakamoto and Junichiro Watanabe

Dynamic Treatment Regimes with Replicated Observations Available for Error-Prone Covariates: A Q-Learning Approach pp. 21-45

Dan Liu and Wenqing He

Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates pp. 46-67

Subharup Guha and Yi Li

Canopy2: Tumor Phylogeny Inference by Bulk DNA and Single-Cell RNA Sequencing pp. 68-110

Ann Marie K. Weideman, Rujin Wang, Joseph G. Ibrahim and Yuchao Jiang

Functional Varying-Index Coefficients Model for Dynamic Synergistic Gene–Environment Interactions pp. 111-130

Jingyi Zhang, Xu Liu, Honglang Wang and Yuehua Cui

Discovering Candidate Genes Regulated by GWAS Signals in Cis and Trans pp. 131-149

Samhita Pal and Xinge Jessie Jeng

Sequential FDR and pFDR Control Under Arbitrary Dependence, with Application to Pharmacovigilance Database Monitoring pp. 150-175

Michael Hankin and Jay Bartroff

Efficiency loss with binary pre-processing of continuous monitoring data pp. 176-191

Paula R. Langner, Elizabeth Juarez-Colunga, Lucas N. Marzec, Gary K. Grunwald and John D. Rice

Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices pp. 192-213

Jeremy Rubin, Fan Fan, Laura Barisoni, Andrew R. Janowczyk and Jarcy Zee

Model Parameters Estimation for the Biosciences Using Particle Swarm Optimization pp. 214-233

Junhyung Park, Sisi Shao and Weng Kee Wong

Mcperturb: A New 5-step Multicollinearity Diagnostic Method Developed Based on Existing Methods pp. 234-265

Shuying Sun and Ryan Zamora

Comments on “New Confidence Intervals for Relative Risk of Two Correlated Proportions” by DelRocco N, Wang Y, Wu D, Yang Y and Shan G (2023) pp. 266-269

Peter J. Laud

Correction: Doubly Robust Semiparametric Estimation for Multi-group Causal Comparisons pp. 270-270

Anqi Yin, Ao Yuan and Ming T. Tan

Volume 17, issue 3, 2025

Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes pp. 575-592

Zhichao Xu, Jaihee Choi and Ryan Sun

Analyzing RNA-Seq Data in Complex Study Designs pp. 593-614

Xiaoyu Wei, Ben Gabriel, Alan Rothman and Zhijin Wu

An Efficient Testing Procedure for High-Dimensional Mediators with FDR Control pp. 615-629

Xueyan Bai, Yinan Zheng, Lifang Hou, Cheng Zheng, Lei Liu and Haixiang Zhang

Isotonic Estimation of Additive Covariate Effects Under Proportional Hazard Models pp. 630-656

Yunro Chung, Anastasia Ivanova and Jason Fine

Bayesian Inference for SIS Type Epidemic Model by Skellam’s Distribution with Real Application to COVID-19 pp. 657-682

Hamid Maroufy and Abdelati Lagzini

Enhancing Randomized Controlled Trials: A Bayesian Divide-and-Conquer Approach for Borrowing External Control Data pp. 683-708

Eric Baron, Min Lin, Jian Zhu, Rui Tang and Ming-Hui Chen

Benefits of Repeated Matched-Cohort and Nested Case–Control Analyses with Time-dependent Exposure in Observational Studies pp. 709-737

Md. Belal Hossain, Hubert Wong, Mohsen Sadatsafavi, James C. Johnston, Victoria J. Cook and Mohammad Ehsanul Karim

Causal Effects of Prenatal Drug Exposure on Birth Defects with Missing by Terathanasia pp. 738-773

Andrew Ying, Ronghui Xu, Christina D. Chambers and Kenneth Lyons Jones

Model Checking for Logistic Models with Study of Telehealth During the COVID-19 Pandemic Among PWH in DC pp. 774-789

Zeyu Yang, Hua Liang, Huiling Liu, Shannon Barth, Morgan Byrne, Elisabeth Andersen, Vinay Bhandaru and Amanda Castel

Correction: Model Checking for Logistic Models with Study of Telehealth During the COVID-19 Pandemic Among PWH in DC pp. 790-790

Zeyu Yang, Hua Liang, Huiling Liu, Shannon Barth, Morgan Byrne, Elisabeth Andersen, Vinay Bhandaru and Amanda Castel

A Comparison of Estimation Methods for Shared Gamma Frailty Models pp. 791-812

Tingxuan Wu, Cindy Feng and Longhai Li

Statistics Evolution and Revolution to Meet Data Science Challenges pp. 813-831

Hulin Wu

Generalized Linear Mixed Models with Censored Covariates and Measurement Errors, with Applications in HIV/AIDS Studies pp. 832-854

Sihaoyu Gao and Lang Wu

Volume 17, issue 2, 2025

Predictive Partly Conditional Models for Longitudinal Ordinal Outcomes with Application to Alzheimer’s Disease Progression pp. 233-250

Jacquelyn E. Neal, Panpan Zhang and Dandan Liu

Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data pp. 251-296

Ce Zhang, Haiwu Huang, Dipankar Bandyopadhyay, Riyadh Rustam Al-Mosawi and Xuewen Lu

Functional Causal Inference with Time-to-Event Data pp. 297-319

Xiyuan Gao, Jiayi Wang, Guanyu Hu and Jianguo Sun

Correction: Functional Causal Inference with Time-to-Event Data pp. 320-320

Xiyuan Gao, Jiayi Wang, Guanyu Hu and Jianguo Sun

Analysis of Recurrent Event Processes with Dynamic Models for Event Counts pp. 321-365

Kunasekaran Nirmalkanna and Candemir Cigsar

Estimating Individualized Treatment Regimes to Optimize Incremental Cost-Effectiveness Ratio pp. 366-385

Xinyuan Dong and Ying-Qi Zhao

Estimation in Multi-State Semi-Markov Models with a Cured Fraction and Masked Causes of Deaths pp. 386-409

Yongho Lim, Candemir Cigsar and Yildiz E. Yilmaz

The Calibrated Bayesian Hypothesis Test for Directional Hypotheses of the Odds Ratio in $$2\times 2$$ 2 × 2 Contingency Tables pp. 410-441

Riko Kelter

The Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints pp. 442-478

Riko Kelter and Alexander Schnurr

Bayesian Modelling of Response to Therapy and Drug-Sensitivity in Acute Lymphoblastic Leukemia pp. 479-500

Andrea Cremaschi, Wenjian Yang, Maria Iorio, William E. Evans, Jun J. Yang and Gary L. Rosner

Application of the Parametric g-Formula to Characterizing Counterfactual Time-to-Event Disability Progression Outcomes in Multiple Sclerosis pp. 501-527

Sean Yiu, Qing Wang, Francois Mercier, Frank Dahlke and Fabian Model

A Bayesian Joint Model of Longitudinal Kidney Disease Progression, Recurrent Cardiovascular Events, and Terminal Event in Patients with Chronic Kidney Disease pp. 528-554

Esra Kürüm, Brian Kwan, Qi Qian, Sudipto Banerjee, Connie M. Rhee, Danh V. Nguyen and Damla Şentürk

Analyzing Left-Truncated Samples with the Cox Model in the Presence of Missing Covariates pp. 555-574

Omar Vazquez, Hayley M. Locke and Sharon X. Xie

Volume 17, issue 1, 2025

Introduction to Special Issue on Machine Learning in Biomedical Sciences pp. 1-2

Dehan Kong and Bingxin Zhao

Causal Inference with Secondary Outcomes pp. 3-16

Ying Zhou

Variable Selection in Multivariate Functional Linear Regression pp. 17-34

Chi-Kuang Yeh and Peijun Sang

Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses pp. 35-61

Wenjie Wang, Chongliang Luo, Robert H. Aseltine, Fei Wang, Jun Yan and Kun Chen

Simultaneous Denoising and Heterogeneity Learning for Time Series Data pp. 62-77

Xiwen Jiang and Weining Shen

A Resampling Approach for Causal Inference on Novel Two-Point Time-Series with Application to Identify Risk Factors for Type-2 Diabetes and Cardiovascular Disease pp. 78-131

Xiaowu Dai, Saad Mouti, Marjorie Lima do Vale, Sumantra Ray, Jeffrey Bohn and Lisa Goldberg

Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation pp. 132-150

Kan Chen, Qishuo Yin and Qi Long

Causal Mediation Tree Model for Feature Identification on High-Dimensional Mediators pp. 151-173

Yao Li and Wei Xu

Functional Linear Partial Quantile Regression with Guaranteed Convergence for Neuroimaging Data Analysis pp. 174-190

Dengdeng Yu, Matthew Pietrosanu, Ivan Mizera, Bei Jiang, Linglong Kong and Wei Tu

DeepBiome: A Phylogenetic Tree Informed Deep Neural Network for Microbiome Data Analysis pp. 191-215

Jing Zhai, Youngwon Choi, Xingyi Yang, Yin Chen, Kenneth Knox, Homer L. Twigg, Joong-Ho Won, Hua Zhou and Jin J. Zhou

A Comprehensive Performance Comparison Study of Various Statistical Models that Accommodate Challenges of the Gut Microbiome Data pp. 216-231

Morteza Hajihosseini, Payam Amini, Alireza Saidi-Mehrabad, Nastaran Hajizadeh, Anita L. Kozyrskyj and Irina Dinu