Pharmaceutical Statistics

Papers
(The TQCC of Pharmaceutical Statistics is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Bayesian single‐to‐double arm transition design using both short‐term and long‐term endpoints52
Estimators for handling COVID‐19‐related intercurrent events with a hypothetical strategy23
On Some Modeling Issues in Estimating Vaccine Efficacy20
A Bayesian method for safety signal detection in ongoing blinded randomised controlled trials17
Issue Information16
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Conditional power and information fraction calculations at an interim analysis for random coefficient models15
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Informed decision‐making: Statistical methodology for surrogacy evaluation and its role in licensing and reimbursement assessments12
Inverse probability of censoring weighting for visual predictive checks of time‐to‐event models with time‐varying covariates12
A semiparametric modeling approach for analyzing clinical biomarkers restricted to limits of detection12
Predicting subgroup treatment effects for a new study: Motivations, results and learnings from running a data challenge in a pharmaceutical corporation11
Evaluating response‐adaptive randomization procedures for recurrent events and terminal event data using a composite endpoint11
Using the Bayesian detection of potential risk using inference on blinded safety data (BDRIBS) method to support the decision to refer an event for unblinded evaluation11
Issue Information11
A Bayesian optimal interval design for dose optimization with a randomization scheme based on pharmacokinetics outcomes in oncology10
Sample size re‐estimation in Phase 2 dose‐finding: Conditional power versus Bayesian predictive power9
Evaluation of a flexible piecewise linear mixed‐effects model in the analysis of randomized cross‐over trials9
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The Acute Stroke Therapy by Inhibition of Neutrophils study – Key features and impact9
Sample size re‐estimation for response‐adaptive randomized clinical trials9
Identifying treatment effects using trimmed means when data are missing not at random9
Using an early outcome as the sole source of information of interim decisions regarding treatment effect on a long‐term endpoint: The non‐Gaussian case9
Frailty model with change points for survival analysis9
A marginalized two‐part joint model for a longitudinal biomarker and a terminal event with application to advanced head and neck cancers9
Futility Interim Analysis Based on Probability of Success Using a Surrogate Endpoint9
Generalizing Treatment Effect to a Target Population Without Individual Patient Data in a Real‐World Setting8
Reparametrized Firth's Logistic Regressions for Dose‐Finding Study With the Biased‐Coin Design8
Sample size calculation in clinical trials with two co‐primary endpoints including overdispersed count and continuous outcomes7
A comparative study of adaptive trial designs for dose optimization7
Sample size calculation for comparing two ROC curves7
Using marginal structural models to analyze the impact of subsequent therapy on the treatment effect in survival data: Simulations and clinical trial examples7
Multiple imputation analysis of Miettinen‐Nurminen interval for difference in proportions7
Estimating and comparing adverse event probabilities in the presence of varying follow‐up times and competing events7
Improved inference forMCP‐Modapproach using time‐to‐event endpoints with small sample sizes6
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The Role of CMC Statisticians: Co‐Practitioners of the Scientific Method5
Flexible Spline Models for Blinded Sample Size Reestimation in Event‐Driven Clinical Trials5
The utilities and pitfalls of stratified analysis in challenging situations5
Comparison of Prior Distributions for the Heterogeneity Parameter in a Rare Events Meta‐Analysis of a Few Studies5
Estimation of treatment effects in short‐term depression studies. An evaluation based on the ICH E9(R1) estimands framework5
Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study4
Issue Information4
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A Likelihood Perspective on Dose‐Finding Study Designs in Oncology4
T3 + 3: 3 + 3 Design With Delayed Outcomes4
Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information: Towards a fair comparison in case of one‐arm and hybrid control two‐arm trials4
Left truncation in linked data: A practical guide to understanding left truncation and applying it using SAS and R4
Getting (More Out of) Graphics—Practices and Principles of Data Visualisation. Data Science SeriesBy AntonyUnwin, Chapman & Hall/CRC, 2024. 446 pp. $ 74.99. ISBN: 978‐0‐36‐767399‐44
Pre‐Posterior Distributions in Drug Development and Their Properties4
Selection bias, investment decisions and treatment effect distributions4
Improving sample size recalculation in adaptive clinical trials by resampling4
Confirmatory efficacy testing for individual dose–placebo comparisons using serial gatekeeping procedure in dose‐finding trials with multiple comparison procedures–modeling4
Bayesian optimal phase II designs with dual‐criterion decision making4
A Federated Data Analysis Approach for the Evaluation of Surrogate Endpoints4
Average Hazard as Harmonic Mean4
An adaptive biomarker basket design in phase II oncology trials3
Setting the control limit at release for stability assurance3
Incorporating historical controls in clinical trials with longitudinal outcomes using the modified power prior3
Shrinkage priors for isotonic probability vectors and binary data modeling, with applications to dose–response modeling3
Issue Information3
Statistical considerations for design and analysis of stability, comparability and formulation tests3
Rationale for the update algorithm of the graphical approach to sequentially rejective multiple test procedures3
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Estimation of the Restricted Mean Duration of Response (RMDoR) in Oncology3
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Type‐I‐error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications3
On “Re‐randomization tests as sensitivity analyses to confirm immunological noninferiority of an investigational vaccine: Case study” by Luca Grassano et al. (2023, Pharmaceutical Statistics)3
The individual‐level surrogate threshold effect in a causal‐inference setting with normally distributed endpoints3
Weighted log‐rank test to compare two survival functions in the presence of dependent censoring3
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Estimation and expected sample size in Simon's two‐stage designs that stop as early as possible3
A note from the editors3
Improving early phase oncology clinical trial design: An opportunity for statisticians3
A conservative approach to leveraging external evidence for effective clinical trial design3
Issue Information3
Re‐randomization tests as sensitivity analyses to confirm immunological noninferiority of an investigational vaccine: Case study3
Combining evidence from clinical trials in conditional or accelerated approval3
CUSUMIN: A cumulative sum interval design for cancer phase I dose finding studies3
A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine3
A mixed effects model for analyzing area under the curve of longitudinally measured biomarkers with missing data3
Bayesian Sample Size Calculation in Small n, Sequential Multiple Assignment Randomized Trials (snSMART)3
Simulation‐based sample size calculations of marginal proportional means models for recurrent events with competing risks2
Assessing the performance of group‐based trajectory modeling method to discover different patterns of medication adherence2
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A meta‐analytic framework to adjust for bias in external control studies2
Confidence Intervals for the Risk Difference Between Secondary and Primary Infection Based on the Method of Variance Estimates Recovery2
Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes2
Improving the assessment of the probability of success in late stage drug development2
Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre‐Clinical Quality Control2
The detailed clinical objectives approach to designing clinical trials and choosing estimands2
Issue Information2
Empirical likelihood confidence interval for sensitivity to the early disease stage2
Adjusting for covariates in analysis based on restricted mean survival times2
Applying the Estimand Framework to Non‐Inferiority Trials2
Optimal sample size allocation for two‐arm superiority and non‐inferiority trials with binary endpoints2
Semi‐parametric accelerated failure‐time model: A useful alternative to the proportional‐hazards model in cancer clinical trials2
Practical and robust test for comparing binomial proportions in the randomized phase II setting2
Potency Assay Variability Estimation in Practice2
Using Propensity Score Weighting to Enhance the Operating Characteristics of Power Prior in Leveraging External Data to Augment a Traditional Clinical Study2
A Model‐Based Trial Design With a Randomization Scheme Considering Pharmacokinetics Exposure for Dose Optimization in Oncology2
Time‐to‐event estimands and loss to follow‐up in oncology in light of the estimands guidance2
Statistical modeling approaches for the comparison of dissolution profiles2
Sample Size Reestimation in Stochastic Curtailment Tests With Time‐to‐Events Outcome in the Case of Nonproportional Hazards Utilizing Two Weibull Distributions With Unknown Shape Parameters2
A model selection criterion for clustered survival analysis with informative cluster size2
A two‐stage drop‐the‐losers design for time‐to‐event outcome using a historical control arm2
Estimating the Strength of Binding Affinity via Delta–Delta‐G for Hit Screening After a Deming Regression Calibration2
Counterfactual mediation analysis in the multistate model framework for surrogate and clinical time‐to‐event outcomes in randomized controlled trials2
Improving early phase oncology clinical trial design: The case for finding the optimal biological dose2
Information‐based group sequential design for post‐market safety monitoring of medical products using real world data2
Response to the letter to the editor regarding our article ‘statistical methodology for highly variable compounds: A novel design approach for the ofatumumab phase 2 bioequivalence study’ https://doi.2
Efficient Study Design and Analysis of Longitudinal Dose–Response Data Using Fractional Polynomials2
Experimental design considerations and statistical analyses in preclinical tumor growth inhibition studies2
Issue Information2
Dynamic borrowing of historical controls adjusting for covariates in vaccine efficacy clinical trials2
The partnership between statisticians and the Institutional Animal Care and Use Committee (IACUC)2
Balance Index to Determine the Follow‐Up Duration of Oncology Trials2
To Dilute or Not to Dilute: Nominal Titer Dosing for Genetic Medicines2
An adaptive design for early clinical development including interim decision for single‐arm trial with external controls or randomized trial2
Identifying treatment effect heterogeneity in dose‐finding trials using Bayesian hierarchical models2
Current developments of the estimand concept2
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