Statistics in Biopharmaceutical Research

Papers
(The TQCC of Statistics in Biopharmaceutical Research is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
The Current Landscape in Biostatistics of Real-World Data and Evidence: Causal Inference Frameworks for Study Design and Analysis34
Robust Design and Analysis of Clinical Trials With Nonproportional Hazards: A Straw Man Guidance From a Cross-Pharma Working Group31
Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment25
The Current Landscape in Biostatistics of Real-World Data and Evidence: Clinical Study Design and Analysis21
Use of Nonconcurrent Common Control in Master Protocols in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion16
Statistical Models for Composite Endpoints of Death and Nonfatal Events: A Review14
Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event14
Reference-Based Multiple Imputation—What is the Right Variance and How to Estimate It13
Developing a Targeted Learning-Based Statistical Analysis Plan13
Hypothetical Estimands in Clinical Trials: A Unification of Causal Inference and Missing Data Methods12
Using Surrogate Endpoints in Adaptive Designs with Delayed Treatment Effect11
Deep Learning Based Multimodal Progression Modeling for Alzheimer’s Disease11
Quantifying Efficiency Gains of Innovative Designs of Two-Arm Vaccine Trials for COVID-19 Using an Epidemic Simulation Model10
Efficiency Comparison of Analysis Methods for Recurrent Event and Time-to-First Event Endpoints in the Presence of Terminal Events—Application to Clinical Trials in Chronic Heart Failure10
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 Disruptions9
Properties of Two While-Alive Estimands for Recurrent Events and Their Potential Estimators9
Statistical Consideration for Fit-for-Use Real-World Data to Support Regulatory Decision Making in Drug Development8
Targeted Learning: Toward a Future Informed by Real-World Evidence8
Type I Error Considerations in Master Protocols With Common Control in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion7
Nonproportional Hazards—An Evaluation of the MaxCombo Test in Cancer Clinical Trials7
A Seamless Adaptive 2-in-1 Design Expanding a Phase 2 Trial for Treatment or Dose Selection Into a Phase 3 Trial7
The Strong Null Hypothesis and the MaxCombo Test: Comment on “Robust Design and Analysis of Clinical Trials with Nonproportional Hazards: A Straw Man Guidance form a Cross-Pharma Working Group.”7
Quantifying Replicability and Consistency in Systematic Reviews6
Missing Data Imputation With Baseline Information in Longitudinal Clinical Trials6
Good Data Science Practice: Moving Toward a Code of Practice for Drug Development6
A Generalized Framework of Optimal Two-Stage Designs for Exploratory Basket Trials6
A Phase 3 Trial Analysis Proposal for Mitigating the Impact of the COVID-19 Pandemic6
Editorial: Roles of Hypothesis Testing, p-Values and Decision Making in Biopharmaceutical Research6
Weighted Approach for Estimating Effects in Principal Strata With Missing Data for a Categorical Post-Baseline Variable in Randomized Controlled Trials6
Statistical Observations on Vaccine Clinical Development for Pandemic Diseases6
Bayesian Optimal Phase II Design for Randomized Clinical Trials6
Incorporating Surrogate Information for Adaptive Subgroup Enrichment Design with Sample Size Re-Estimation6
A Comparison of Different Approaches to Bayesian Hierarchical Models in a Basket Trial to Evaluate the Benefits of Increasing Complexity6
Testing the Equality of Proportions for Combined Unilateral and Bilateral Data Under Equal Intraclass Correlation Model5
Predicting the COVID-19 Pandemic Impact on Clinical Trial Recruitment5
Planning for the Next Pandemic: Ethics and Innovation Today for Improved Clinical Trials Tomorrow5
Comment on “Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment”5
Statistical Opportunities to Accelerate Development for COVID-19 Therapeutics5
Application of Group Sequential Methods to the 2-in-1 Design and Its Extensions for Interim Monitoring5
A Comparison of Estimand and Estimation Strategies for Clinical Trials in Early Parkinson’s Disease5
A Simulation Study on the Estimation of the Effect in the Hypothetical Scenario of No Use of Symptomatic Treatment in Trials for Disease-Modifying Agents for Alzheimer’s Disease5
Regulatory Guidance on Randomization and the Use of Randomization Tests in Clinical Trials: A Systematic Review4
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 Disruptions4
Generalizing Clinical Trial Results to a Target Population4
Selecting an Optimal Design for a Non-randomized Comparative Study: A Comment on “Some Considerations on Design and Analysis Plan on a Nonrandomized Comparative Study Utilizing Propensity Score Method4
Combining the Target Trial and Estimand Frameworks to Define the Causal Estimand: An Application Using Real-World Data to Contextualize a Single-Arm Trial4
Testing and Interpreting the “Right” Hypothesis—Comment on “Non-proportional Hazards — An Evaluation of the MaxCombo Test in Cancer Clinical Trials”4
Radical Thinking: Scientific Rigor and Pragmatism4
Discrete Time Multistate Model With Regime Switching for Modeling COVID-19 Disease Progression and Clinical Outcomes4
Estimands in Real-World Evidence Studies4
Our Most Important Discovery: The Question4
Clinical and Statistical Perspectives on the ICH E9(R1) Estimand Framework Implementation4
Bootstrap Cross-validation Improves Model Selection in Pharmacometrics4
Examples of Applying RWE Causal-Inference Roadmap to Clinical Studies3
Some Biostatistical Considerations About Real-World Data and Evidence in Clinical Studies, Especially for Regulatory Purposes3
On Identification of the Principal Stratum Effect in Patients Who Would Comply If Treated3
Designing Dose-Optimization Studies in Cancer Drug Development: Discussions with Regulators3
Simulation-Based Pharmacokinetics Sampling Design for Evaluating Correlates of Prevention Efficacy of Passive HIV Monoclonal Antibody Prophylaxis3
Bayesian Change-Point Joint Models for Multivariate Longitudinal and Time-to-Event Data3
Multivariate Shared-Parameter Mixed-Effects Location Scale Model for Analysis of Intensive Longitudinal Data3
Quick Multiple Test Procedures and p-Value Adjustments3
A Composite Endpoint for Treatment Benefit According to Patient Preference3
Value Function Guided Subgroup Identification via Gradient Tree Boosting: A Framework to Handle Multiple Outcomes for Optimal Treatment Recommendation3
Comment on “Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment”3
Isotonic Phase I Cancer Clinical Trial Design Utilizing Patient-Reported Outcomes3
What Can Be Achieved with the Estimand Framework?3
Applying Quantitative Approaches in the Use of RWE in Clinical Development and Life-Cycle Management3
Bayesian Approaches for Handling Hypothetical Estimands in Longitudinal Clinical Trials With Gaussian Outcomes3
Post-Test Diagnostic Accuracy Measures of a Continuous Test With a Disease of Ordinal Multistages3
It’s the Selection’s Fault—Not the p-Values’: A Comment on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations”3
Methods for Informative Censoring in Time-to-Event Data Analysis3
Mitigating Study Power Loss Caused by Clinical Trial Disruptions Due to the COVID-19 Pandemic: Leveraging External Data via Propensity Score-Integrated Approaches3
Accuracy and Safety of Novel Designs for Phase I Drug-Combination Oncology Trials3
Hierarchical Generalized Linear Models for Multiregional Clinical Trials3
Statistical Inference on the Estimators of the Adherer Average Causal Effect3
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