Statistics in Biopharmaceutical Research

Papers
(The median citation count of Statistics in Biopharmaceutical Research is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Treatment Selection at Interim Analysis Based on a Correlated Early Endpoint in Adaptive Two-Stage Trials with a Primary Endpoint Based on Count Data27
Predicting Probability of Success for Phase III Trials via Propensity-Score-Based External Data Borrowing22
Considerations on Interim Evaluation of OS in Pivotal Oncology Trials18
A Landscape Assessment of Key Evidence Needs in Study Design and Statistical Methodologies for HTA Submissions18
DODII: Bayesian Dose Optimization Design for Randomized Phase II Trials16
U-MET: Utility-Based Dose Optimization Approach for Multiple-Dose Randomized Trial Designs16
Some Multiplicity Adjustment Procedures for Clinical Trials with Sequential Design and Multiple Endpoints14
Consistency Based Multiplicity Adjustment Approach—Multiple Doses in Phase III Studies14
Missing Data Imputation for a Multivariate Outcome of Mixed Variable Types13
Bayesian and Frequentist Approaches to Rescuing Disrupted Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions12
Joint Analysis of Longitudinal Ordinal Categorical Item Response Data and Survival Times with Cure Fraction11
Modified Simon’s Two-Stage Design for Phase IIA Clinical Trials in Oncology—Dynamic Monitoring and More Flexibility10
We Need Subject Matter Expertise to Choose and Identify Causal Estimands: Comment on “Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event”10
A Cautionary Note on E-Values Using Biased Risk Ratio Approximations from Hazard Ratios9
Design Strategy and Consideration for Oncology Dose-Optimization: An Industry Perspective8
Joint Analysis of Longitudinal Data and Zero-Inflated Recurrent Events8
The Current Landscape of HTA Framework and Key Challenges8
Some Group Sequential Trials from Industry over the Last 30 Years8
A Basket Trial Design Based on Power Priors8
An Enhanced Doubly Robust Causal Estimator for Nonrandomized Trials With Binary Outcome8
LORDs: Locally Optimal Restricted Designs for Phase I/II Dose-Finding Studies7
Optimizing Pediatric Dose Finding: A Phase I/II Design Integrating Adult Data7
A Bayesian Latent Subgroup Design for Basket Trials with Survival Endpoints7
A Two-Stage Covariate-Adjusted Response-Adaptive Enrichment Design7
Monitoring Ongoing Clinical Trials Under Fractional Brownian Motion With Drift7
Augmenting the Control Arm of Randomized Trials by Incorporating Multiple External Data Sources Using Propensity Score Stratification and Data-Driven Mixture Prior7
Statistical Considerations and Challenges for Pivotal Clinical Studies of Artificial Intelligence Medical Tests for Widespread Use: Opportunities for Inter-Disciplinary Collaboration7
A New Centralized Statistical Monitoring Method for Detecting Atypical Distribution of Qualitative Variables in Multicenter Randomized Controlled Trials6
Bayesian Hierarchical Model with Adaptive Similarity Evaluation of Treatment Effects in Oncology Basket Trials6
Backward Sequential Significance Testing in Survival Trials6
Statistics in Biopharmaceutical Research Best Papers Award 20236
Closing a Chapter: A Farewell from the Editor of Statistics in Biopharmaceutical Research6
MT-Keyboard: A Bayesian Model-Assisted Interval Design to Account for Toxicity Grades and Types for Phase I Trials6
Which Randomization Methods Are Used Most Frequently in Clinical Trials? Results of a Survey by the Randomization Working Group5
Exact Matching as an Alternative to Propensity Score Matching5
Pre-Specified Safety Analysis of OS Data for Trials in Indolent or Early-Stage Cancers5
Effects of Allocation Method and Time Trends on Identification of the Best Arm in Multi-Arm Trials5
Navigating Priorities, Statistical Rigor, and Decision-Making on Multiplicity Questions in the Context of the EU Joint Clinical Assessment5
Novel Statistical Designs and Considerations to Support Diversity and Inclusion in Clinical Trials5
Information Borrowing in Bayesian Clinical Trials: choice of Tuning Parameters for the Robust Mixture Prior5
Estimating Treatment Efficacy Controlling for Subsequent Therapy Usage: Comparison of Multiple Methods and Application to Hematologic Oncology Trials4
Statistical Thinking and Innovation with Global Impact—Special Issue for the 2023 Regulatory-Industry Statistics Workshop4
Statistical Consideration for Fit-for-Use Real-World Data to Support Regulatory Decision Making in Drug Development4
Bayesian and Frequentist Stratified Analysis of Treatment Effects with Survival Data in Comparative Trials4
A Case Study of 2-Stage Seamless Adaptive Sample Size Re-Estimation Design with Efficacy Interim Analysis When Slope Is the Primary Endpoint4
A Primer of Quasi-Exact Tests for Randomized Clinical Trials with Binary Endpoints4
Adaptive Endpoints Selection with Application in Rare Disease4
Bias-Corrected Group Sequential Design in the Presence of Surrogate Endpoints with Application to PALM Trial4
Rejoinder to Comments on “Non-Proportional Hazards – An Evaluation of the MaxCombo Test in Cancer Clinical Trials”4
Nonconcurrent Controls in Platform Trials: Can We Borrow Their Concurrent Observation Data?4
A Propensity-Score Integrated Approach to Bayesian Dynamic Power Prior Borrowing3
Comment on “Monitoring Overall Survival in Pivotal Trials in Indolent Cancers”3
Statistical Innovation for Integrated Evidence in Medical Product Development3
BOOST: An Adaptive Biomarker-Guided Simon Two-Stage Design with Explicit Control of Pooled and Subgroup Inference3
Assessing the Commonly Used Assumptions in Estimating the Principal Causal Effect in Clinical Trials3
An Alternative to Traditional Sample Size Determination for Small Patient Populations3
A Comprehensive Bayesian Approach to Quantify and Compare Benefit-Risk of Medical Products3
A Multi-Arm Multi-Stage Group Sequential Phase 2/3 Design with Dose Selection for Oncology Trials3
The Use of Machine Learning in Regulatory Drug Safety Evaluation3
Rejoinder to Commentaries on the “Monitoring OS in Pivotal Trials in Indolent Cancers” Article3
OFGSD: Optimal Futility Stopping Rules for Group Sequential Design3
Editor’s Note3
Inverse Probability of Treatment Weighting: A Simple and Effective Approach to Covariate Adjustment for Survival Endpoints in Randomized Clinical Trials3
The NISS Ingram Olkin Forum on Unplanned Clinical Trial Disruptions3
Multiplicity Control in Clinical Trials with Adaptive Selection Followed by Group-Sequential Testing3
Correction3
Treatment-Control Comparisons in Platform Trials Including Non-Concurrent Controls3
Comparison of Methods to Analyze Time-to-Event Endpoints When Treatment Effect is Delayed3
Challenges of Modeling Biomarker Effects on Time-to-Event Outcomes3
A Graphical Framework for Testing Hierarchically Structured Hypothesis Families3
A Bayesian Design with Efficient Backfilling and Expansion to Accelerate Phase I/II Trials Accommodating Late-Onset Competing Risk Outcomes3
Causal Machine Learning Approaches for Adjusting Treatment Switching in Clinical Trials3
Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions2
Random Effects Meta-Analysis of Contingency Tables with Complete and Partially Complete Data, with Application to COVID-19 Research2
Designing Dose-Optimization Studies in Cancer Drug Development: Discussions with Regulators2
Commentary on “Statistical Methodology Groups in the Pharmaceutical Industry”2
Non-Inferiority Testing on the Accuracy of Two Qualitative Microbiological Methods on Paired Binary Data2
Bayesian Estimation of Dynamic Treatment Regimens in a Partially Randomized Patient Preference, Sequential, Multiple-Assignment, Randomized Trial2
Targeted Learning: Toward a Future Informed by Real-World Evidence2
Rejoinder - Statistical Methodology Groups in the Pharmaceutical Industry #2
Use of Common Control Arms Across Substudies in a Master Protocol via Ridge Estimation2
A Rényi-Divergence-Based Family of Metrics for the Evaluation of Surrogate Endpoints in a Causal Inference Framework2
Evaluating the Impact of Outcome Delay on the Efficiency of Two-Arm Group-Sequential Trials2
Subgroup Analyses in Confirmatory Clinical Trials Using Bayesian Hierarchical Models2
Balancing the Objectives of Statistical Efficiency and Allocation Randomness in Randomized Controlled Trials2
The Role of Statistical Thinking in Biopharmaceutical Research2
Prevalence Estimation in Finite Populations Adjusted for Misclassification2
Performance of LTMLE in the Presence of Missing Data in Control-Matched Longitudinal Studies2
A Comparison of Estimand and Estimation Strategies for Clinical Trials in Early Parkinson’s Disease2
Dionne Price: An Esteemed Colleague, Inspirational Leader, Trailblazer Statistician and a Dear Friend2
Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands2
Estimands and their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions1
Multiple Imputation with B-Splines (MI-B) in Clinical Trial Monitoring1
Comparing Dose Levels to Placebo using a Continuous Outcome in a Small n, Sequential, Multiple Assignment, Randomized trial (snSMART)1
Bayesian Simultaneous Credible Intervals for Effect Measures from Multiple Markers1
Remembering Gregory Campbell (1949–2023): An Accomplished Leader, Mentor, and Biostatistical Innovator1
The Statistical and Practical Implications of Mis-Stratified Randomization in Clinical Trials1
Modified Robust Meta-Analytic-Predictive Priors for Incorporating Historical Controls in Clinical Trials1
Bayesian Dose Finding Model Using Ordinal Endpoints1
Rejoinder: Estimands and their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions1
Statistical Method for Threshold Value Determination of Diagnostic Biomarker in Noisy Data1
A Modification of Location Commensurate Power Prior in Clinical Trials1
Comment on “Non-Proportional Hazards – an Evaluation of the MaxCombo Test in Cancer Clinical Trials” by the Cross-Pharma Non-Proportional Hazards Working Group1
Covariate-Adjusted Response Adaptive Designs for Competing Risk Survival Models1
Evaluation of Statistical Methods for Estimating Rate Ratios for Recurrent Events in Clinical Trials1
Beyond the Classical Type I Error: Bayesian Metrics for Bayesian Designs Using Informative Priors1
Monitoring Overall Survival in Phase 3 Indolent Cancers: An Extended Framework and an Example1
Assessment of Treatment Effect Heterogeneity for Multiregional Randomized Clinical Trials1
Meta-Analysis of Moxifloxacin Concentration-QTc Effects with Application to Assay Sensitivity Assessment1
Power and Sample Size Calculations for the Restricted Mean Time Analysis of Prioritized Composite Endpoints1
Improved Trimmed Weighted Hochberg Procedures With Two Endpoints and Sample Size Optimization1
A Statistical Method for Protocol Modifications With Heterogeneous Population Variances1
Evaluation of Treatment Effect in Underrepresented Population in Cancer Trials: Discussion with International Regulators1
Probability of Study Success (PrSS) Evaluation Based on Multiple Endpoints in Late Phase Oncology Drug Development1
Systematic Comparison of Bayesian Basket Trial Designs with Unequal Sample Sizes and Proposal of a New Method Based on Power Priors1
An Accelerated Failure Time Non-Mixture Cure Model for Long-Term Survival Data with Application to Brain Cancer1
Sample Size Calculation and Timing of Dose Selection in a Multiple-Dose Clinical Trial1
Prognostic Covariate Adjustment in Non-Ideal Conditions: Limitations and Doubly Robust Alternatives1
Generalized Likelihood Ratios for Designing Dose Optimization Studies of Targeted Therapies1
Editor’s Note: Special Section on Estimands, Design and Analysis of Clinical Trials with Time-to-Event Outcomes1
Assessing the Harm and Benefit of Cancer Therapies with an Overall Survival Endpoint in Comparative Clinical Studies1
Rejoinder to Commentaries on “Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event”1
Harness the Power of Statistics, Data Science, and Digital Technology to Drive Patient-Focused Innovations Together - Special Issue for the 2024 Regulatory–Industry Statistics Workshop (RISW)1
Phase 2 Design Considerations from a Program Perspective1
Vaccine Development during a Pandemic: General Lessons for Clinical Trial Design1
Isotonic Phase I Cancer Clinical Trial Design Utilizing Patient-Reported Outcomes1
Assessing Contribution of Treatment Phases through Tipping Point Analyses via Counterfactual Elicitation Using Rank Preserving Structural Failure Time Models1
An Integrated Framework Predicting Enrollment and Interim Analysis Timing in Clinical Trials with Recurrent Count Outcomes1
Aligning Estimands to Strengthen the Credibility of Network Meta-Analysis: Implications for Indirect Treatment Comparisons1
Randomization-Based Inference for Clinical Trials with Missing Outcome Data1
Bayesian Shrinkage Estimation of Credible Subgroups for Count Data with Excess Zeros1
Conditional and Unconditional Treatment Effects in Randomized Clinical Trials: Estimands, Estimation, and Interpretation1
Statisticians at the Forefront of Health Technology Assessment: Aligning Regulatory and HTA Evidence Through Transdisciplinary Collaboration1
A Closer Look at the Kernels Generated by the Decision and Regression Tree Ensembles1
SBR Special Section “Overall Survival in Oncology Trials and Drug Development”1
Good Data Science Practice: Moving toward a Code of Practice for Drug Development (Rejoinder)1
Qualitative versus Quantitative Treatment-by-Subgroup Interaction in Equivalence Studies with Multiple Subgroups1
Multiple Surrogates in the Meta-Analytic Setting for Normally Distributed Endpoints1
Incorporating Intermediate Endpoint in Two-Stage Design Decision Making1
Using Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions1
A Method for Ensuring a Consistent Dose–Response Relationship Between An Entire Population and One Region in Multiregional Dose–Response Studies Using MCP-Mod1
Joint TITE-CRM: A Design for Dose Finding Studies for Therapies with Late-Onset Safety and Activity Outcomes1
An Unbiased Method to Approximate a Principal Estimand1
Commentary on “Statistical Methodology Groups in the Pharmaceutical Industry”1
Eliciting the Discount Parameter in a Power Prior Method on the Basis of the Type I Error Consideration1
Bayesian Optimal Designs for Multi-Arm Multi-Stage Phase II Randomized Clinical Trials with Multiple Endpoints1
A Bayesian Adaptive Umbrella Trial Design with Robust Information Borrowing for Screening Multiple Combination Therapies1
Doubly Robust Estimation of Desirability of Outcome Ranking (DOOR) Probability with Application to MDRO Studies1
Shrinkage Estimation Methods for Subgroup Analyses1
Trial Design with Win Statistics for Multiple Time-to-Event Endpoints with Hierarchy1
Comparison of g-Estimation Approaches for Handling Symptomatic Medication at Multiple Timepoints in Alzheimer’s Disease with a Hypothetical Strategy1
Type I Error Control of an Adaptive Endpoint Selection Procedure1
Evaluation of Current Statistical Methods for Implementing Quality Tolerance Limits1
Hybrid Control Design with Commensurate Prior Constructed Using Propensity Score-Matched External Controls: A Simulation Study1
Adjusting for Time-Varying Treatment Switches in Randomized Clinical Trials: The Danger of Extrapolation and How to Address It1
An Expected Score Approach to Ordinal Outcomes in a Bayesian, Response Adaptive, Randomized Trial1
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