Statistics in Biosciences

2016 - 2025

Current editor(s): Hongyu Zhao and Xihong Lin

From:
Springer
International Chinese Statistical Association
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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

Volume 16, issue 3, 2024

Building an Enhanced Publication Ecosystem for Statistical Innovation pp. 543-546

Hongkai Ji

Leadership at the Intersection of Statistics & Genomics: A COPSS-NISS Leadership Webinar with Drs. Rafael Irizarry and Mingyao Li pp. 547-555

Jingyi Jessica Li

Bayesian Modeling on Microbiome Data Analysis: Application to Subgingival Microbiome Study pp. 556-577

Yeongjin Gwon, Fang Yu, Jeffrey B. Payne and Ted R. Mikuls

Constrained Multivariate Functional Principal Components Analysis for Novel Outcomes in Eye-Tracking Experiments pp. 578-603

Brian Kwan, Catherine A. Sugar, Qi Qian, Frederick Shic, Adam Naples, Scott P. Johnson, Sara J. Webb, Shafali Jeste, Susan Faja, April R. Levin, Geraldine Dawson, James C. McPartland and Damla Şentürk

Use of Real-World EMR Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for COVID-19 Treatment as an Example pp. 604-633

Chenguang Zhang, Masayuki Nigo, Shivani Patel, Duo Yu, Edward Septimus and Hulin Wu

Residual Diagnostic Methods for Bell-Type Count Models pp. 634-667

Hatice Tul Kubra Akdur, Duygu Kilic and Hulya Bayrak

Marginal Structural Illness-Death Models for Semi-competing Risks Data pp. 668-692

Yiran Zhang, Andrew Ying, Steve Edland, Lon White and Ronghui Xu

Statistical Methods for Selective Biomarker Testing pp. 693-722

A. Adam Ding, Natalie DelRocco and Samuel S. Wu

Estimate Time-To-Infection (TTI) Vaccination Effect When TTI for Unvaccinated Group is Unknown pp. 723-741

Ding-Geng Chen, Yunro Chung and Kassu Mehari Beyene

Integrative Classification Using Structural Equation Modeling of Homeostasis pp. 742-760

Hong-Bin Fang, Hengzhen Huang, Ao Yuan, Ruzong Fan and Ming T. Tan

Multivariate Varying Coefficient Spatiotemporal Model pp. 761-786

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

Nonparametric Estimation of Proportional Hazards with Monotone Baseline Hazard and Covariate Effect pp. 787-800

Yunro Chung

Predicting the Content of the Main Components of Gardeniae Fructus Praeparatus Based on Deep Learning pp. 801-823

Chongyang Wang, Yun Wang, Pengle Cheng, Cun Zhang and Ying Huang

Promotion Time Cure Model with Local Polynomial Estimation pp. 824-853

Li-Hsiang Lin and Li-Shan Huang

SFU: Surface-Free Utility-Based Design for Dose Optimization in Cancer Drug Combination Trials pp. 854-881

Jingyi Zhang, Nolan A. Wages and Ruitao Lin

Volume 16, issue 2, 2024

Advancing Statistical Approaches for Modeling Exposure Mixtures and Health Outcomes pp. 319-320

Zhen Chen and Paul S. Albert

Power Analysis of Exposure Mixture Studies Via Monte Carlo Simulations pp. 321-346

Phuc H. Nguyen, Amy H. Herring and Stephanie M. Engel

Use of Generalized Propensity Scores for Assessing Effects of Multiple Exposures pp. 347-376

Kecheng Li, Tugba Akkaya-Hocagil, Richard J. Cook, Louise M. Ryan, R. Colin Carter, Khue-Dung Dang, Joseph L. Jacobson and Sandra W. Jacobson

Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer pp. 377-394

Joseph Boyle, Mary H. Ward, Stella Koutros, Margaret R. Karagas, Molly Schwenn, Alison T. Johnson, Debra T. Silverman and David C. Wheeler

Detecting Shape-Based Interactions Among Environmental Chemicals Using an Ensemble of Exposure-Mixture Regression and Interpretable Machine Learning Tools pp. 395-415

Vishal Midya and Chris Gennings

Evaluating Effects of Various Exposures on Mortality Risk of Opioid Use Disorders with Linked Administrative Databases pp. 416-434

Trevor J. Thomson, X. Joan Hu and Bohdan Nosyk

Statistical Methods for Modeling Exposure Variables Subject to Limit of Detection pp. 435-458

Eunsil Seok, Akhgar Ghassabian, Yuyan Wang and Mengling Liu

Considerations and Targeted Approaches to Identifying Bad Actors in Exposure Mixtures pp. 459-481

Alexander P. Keil and Katie M. O’Brien

Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions pp. 482-502

Shelley H. Liu, Yitong Chen, Jordan R. Kuiper, Emily Ho, Jessie P. Buckley and Leah Feuerstahler

A Comparison of Statistical Methods for Studying Interactions of Chemical Mixtures pp. 503-519

Debamita Kundu, Sungduk Kim, Mary H. Ward and Paul S. Albert

A Variance-Based Sensitivity Analysis Approach for Identifying Interactive Exposures pp. 520-541

Ruijin Lu, Boya Zhang, Anna Birukov, Cuilin Zhang and Zhen Chen

Volume 16, issue 1, 2024

On Estimation of the Effect Lag of Predictors and Prediction in a Functional Linear Model pp. 1-24

Haiyan Liu, Georgios Aivaliotis, Vijay Kumar and Jeanine Houwing-Duistermaat

Classification of Free-Living Body Posture with ECG Patch Accelerometers: Application to the Multicenter AIDS Cohort Study pp. 25-44

Lacey H. Etzkorn, Amir S. Heravi, Nicolas D. Knuth, Katherine C. Wu, Wendy S. Post, Jacek K. Urbanek and Ciprian M. Crainiceanu

Doubly Robust Semiparametric Estimation for Multi-group Causal Comparisons pp. 45-68

Anqi Yin, Ao Yuan and Ming T. Tan

A Unified Decision Framework for Phase I Dose-Finding Designs pp. 69-85

Yunshan Duan, Shijie Yuan, Yuan Ji and Peter Mueller

Joint Modeling of Geometric Features of Longitudinal Process and Discrete Survival Time Measured on Nested Timescales: An Application to Fecundity Studies pp. 86-106

Abhisek Saha, Ling Ma, Animikh Biswas and Rajeshwari Sundaram

Mediation Analysis with Random Distribution as Mediator with an Application to iCOMPARE Trial pp. 107-128

Jingru Zhang, Mathias Basner, Christopher W. Jones, David F. Dinges, Haochang Shou and Hongzhe Li

Improving the Power to Detect Indirect Effects in Mediation Analysis pp. 129-141

John Kidd and Dan-Yu Lin

Detecting Disease Outbreak Regions Using Multiple Data Streams pp. 142-164

Sesha Dassanayake and Joshua P. French

Tweedie Distributions for Biological Sequences Alignments pp. 165-184

Ben Hassen Hanen, Masmoudi Khalil and Masmoudi Afif

Variable Selection for Nonlinear Covariate Effects with Interval-Censored Failure Time Data pp. 185-202

Tian Tian and Jianguo Sun

Efficient Estimation of Semiparametric Transformation Model with Interval-Censored Data in Two-Phase Cohort Studies pp. 203-220

Fei Gao and Kwun Chuen Gary Chan

Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU pp. 221-249

Jiyeon Song, Subharup Guha and Yi Li

Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data pp. 250-264

Anton Sugolov, Eric Emmenegger, Andrew D. Paterson and Lei Sun

Understanding Effective Virus Control Policies for Covid-19 with the Q-learning Method pp. 265-289

Yasin Khadem Charvadeh and Grace Y. Yi

Bivariate Analysis of Birth Weight and Gestational Age by Bayesian Distributional Regression with Copulas pp. 290-317

Jonathan Rathjens, Arthur Kolbe, Jürgen Hölzer, Katja Ickstadt and Nadja Klein

Retraction Note: Positive Stable Shared Frailty Models Based on Additive Hazards pp. 318-318

David D. Hanagal