Statistics in Biosciences

2016 - 2026

Current editor(s): Hongyu Zhao and Xihong Lin

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Springer
International Chinese Statistical Association
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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

Volume 15, issue 3, 2023

Introduction to Special Issue on Machine Learning Algorithms in Genomics and Genetics pp. 541-544

Yingying Wei

Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests pp. 545-561

Boyi Guo, Hannah D. Holscher, Loretta S. Auvil, Michael E. Welge, Colleen B. Bushell, Janet A. Novotny, David J. Baer, Nicholas A. Burd, Naiman A. Khan and Ruoqing Zhu

Integrative Structural Learning of Mixed Graphical Models via Pseudo-likelihood pp. 562-582

Qingyang Liu and Yuping Zhang

Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data pp. 583-607

Long Wang, Fangzheng Xie and Yanxun Xu

Nonnegative Matrix Factorization with Group and Basis Restrictions pp. 608-632

Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng, Ramie Ali-Adeeb and Andrew Jirasek

scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis pp. 633-656

Jingsi Ming, Jia Zhao and Can Yang

An Artificial Intelligence Approach for Gene Editing Off-Target Quantification: Convolutional Self-attention Neural Network Designs and Considerations pp. 657-668

Jiecong Lin, Xingjian Chen and Ka-Chun Wong

A Unified Bayesian Framework for Bi-overlapping-Clustering Multi-omics Data via Sparse Matrix Factorization pp. 669-691

Fangting Zhou, Kejun He, James J. Cai, Laurie A. Davidson, Robert S. Chapkin and Yang Ni

Detection of Cell Separation-Induced Gene Expression Through a Penalized Deconvolution Approach pp. 692-718

An-Shun Tai, Chun-Chao Wang and Wen-Ping Hsieh

Bayesian Joint Modeling of Single-Cell Expression Data and Bulk Spatial Transcriptomic Data pp. 719-733

Jinge Yu, Qiuyu Wu and Xiangyu Luo

Unlocking Cellular Insights Through Cell-Type Decomposition pp. 734-736

Xiaoyu Song

AI-Powered Bayesian Statistics in Biomedicine pp. 737-749

Qiwei Li

Volume 15, issue 2, 2023

Longitudinal Associations Between Timing of Physical Activity Accumulation and Health: Application of Functional Data Methods pp. 309-329

Wenyi Lin, Jingjing Zou, Chongzhi Di, Dorothy D. Sears, Cheryl L. Rock and Loki Natarajan

Properties of the Estimators of the Cox Regression Model with Imputed Data pp. 330-352

Luciana Carla Chiapella, Marta Beatriz Quaglino and María Eugenia Mamprin

Evaluating Dynamic Discrimination Performance of Risk Prediction Models for Survival Outcomes pp. 353-371

Jing Zhang, Jing Ning and Ruosha Li

Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts pp. 372-383

Q. Shao

On the Methodological Aspects of the Clinical Trials for COVID-19 Conducted in the First Year of the Pandemic: A Descriptive Analysis pp. 384-396

Eleni Georgiadi and Athanasios Sachlas

Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome pp. 397-418

Hyung G. Park, Danni Wu, Eva Petkova, Thaddeus Tarpey and R. Todd Ogden

A Non-parametric Test Based on Local Pairwise Comparisons of Patients for Single and Composite Endpoints pp. 419-429

Xuan Ye and Heng Li

Analysis of the Cox Model with Longitudinal Covariates with Measurement Errors and Partly Interval Censored Failure Times, with Application to an AIDS Clinical Trial pp. 430-454

Yanqing Sun, Qingning Zhou and Peter B. Gilbert

Semiparametric Trend Analysis for Stratified Recurrent Gap Times Under Weak Comparability Constraint pp. 455-474

Peng Liu, Yijian Huang, Kwun Chuen Gary Chan and Ying Qing Chen

Clinical Trial Design—What is the Critical Question for Decision-Making? pp. 475-489

Jingjing Ye, Hong Tian, Xiang Tony Guo and Naitee Ting

Bayesian Analysis of Multivariate Matched Proportions with Sparse Response pp. 490-509

Mark J. Meyer, Haobo Cheng and Katherine Hobbs Knutson

Evaluation of Designs and Estimation Methods Under Response-Dependent Two-Phase Sampling for Genetic Association Studies pp. 510-539

Brady Ryan, Ananthika Nirmalkanna, Candemir Cigsar and Yildiz E. Yilmaz

Volume 15, issue 1, 2023

New Confidence Intervals for Relative Risk of Two Correlated Proportions pp. 1-30

Natalie DelRocco, Yipeng Wang, Dongyuan Wu, Yuting Yang and Guogen Shan

Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models pp. 31-56

Elham Yousefi and Werner Müller

Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation pp. 57-113

Cheng Zheng, Yiwen Zhang, Ying Huang and Ross Prentice

Bayesian Framework for Causal Inference with Principal Stratification and Clusters pp. 114-140

Li He, Yu-Bo Wang, William C. Bridges, Zhulin He and S. Megan Che

Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic pp. 141-162

Ali Abolhassani, Marcos O. Prates and Safieh Mahmoodi

A Step-Wise Multiple Testing for Linear Regression Models with Application to the Study of Resting Energy Expenditure pp. 163-192

Junyi Zhang, Zimian Wang, Zhezhen Jin and Zhiliang Ying

A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data pp. 193-216

Binhuan Wang, Lanqiu Yao, Jiyuan Hu and Huilin Li

Semiparametric Density Ratio Model for Survival Data with a Cure Fraction pp. 217-241

Weibin Zhong and Guoqing Diao

On High-Dimensional Covariate Adjustment for Estimating Causal Effects in Randomized Trials with Survival Outcomes pp. 242-260

Ran Dai, Cheng Zheng and Mei-Jie Zhang

A Functional Model for Studying Common Trends Across Trial Time in Eye Tracking Experiments pp. 261-287

Mingfei Dong, Donatello Telesca, Catherine Sugar, Frederick Shic, Adam Naples, Scott P. Johnson, Beibin Li, Adham Atyabi, Minhang Xie, Sara J. Webb, Shafali Jeste, Susan Faja, April R. Levin, Geraldine Dawson, James C. McPartland and Damla Şentürk

A Perception-Augmented Hidden Markov Model for Parent–Child Relations in Families of Youth with Type 1 Diabetes pp. 288-308

Ruijin Lu, Tonja R. Nansel and Zhen Chen