Statistics in Medicine

Papers
(The TQCC of Statistics in Medicine 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 2022-07-01 to 2026-07-01.)
ArticleCitations
163
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies89
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The Whys, Whens, and Hows of Futility Monitoring71
Issue Information66
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior51
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Confidence Intervals for AUC and pAUC by Empirical Likelihood37
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions36
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study36
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial34
Network and covariate adjusted response‐adaptive design for binary response29
Optimal confidence intervals for the relative risk and odds ratio29
Synthesizing studies for comparing different treatment sequences in clinical trials29
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model28
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs27
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”27
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints27
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A Review of Methods for Research Synthesis26
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime26
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach23
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example23
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout23
Bayesian mixture modelling with ranked set samples21
On the parameter estimation of Box‐Cox transformation cure model21
Bayesian additive regression trees for multivariate skewed responses21
Dynamic Single‐Index Scalar‐On‐Function Model21
Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example21
Data fusion for predicting long‐term program impacts21
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data20
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study20
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology20
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances20
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index20
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule20
Issue Information20
Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis20
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm20
Transportability of model‐based estimands in evidence synthesis20
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models19
Regression Trees With Fused Leaves19
Issue Information18
Relative sparsity for medical decision problems18
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score18
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries18
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome18
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment18
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies17
Adaptive Incorporation of External Summary Information in the Cox Regression Under Population Heterogeneity17
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling17
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs17
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart17
Issue Information17
Sensitivity analysis of G‐estimators to invalid instrumental variables16
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model15
Estimating contact network properties by integrating multiple data sources associated with infectious diseases15
Information‐incorporated sparse hierarchical cancer heterogeneity analysis15
Nonparametric empirical Bayes biomarker imputation and estimation15
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults15
Multilevel Longitudinal Functional Principal Component Model14
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring14
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A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system14
Finding the best subgroup with differential treatment effect with multiple outcomes14
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Multiple multi‐sample testing under arbitrary covariance dependency14
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies14
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine13
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach13
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival13
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure13
Modeling intra‐individual inter‐trial EEG response variability in autism13
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects13
BAR12 : Bayesian Autoregressive Phase 1‐2 Design for Cell Therapy Trials With Manufacturing Changes13
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data13
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials12
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight12
Covariate adjustment in randomized clinical trials with missing covariate and outcome data12
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine12
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research12
Standardization and other approaches to meta‐analyze differences in means12
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A systematic review and evaluation of statistical methods for group variable selection12
Outlier Detection in Mendelian Randomization12
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline12
Instrumental variable model average with applications in Mendelian randomization12
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment11
Issue Information11
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Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals11
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model11
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Issue Information11
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows11
Flexible template matching for observational study design11
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Group sequential designs for clinical trials when the maximum sample size is uncertain11
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome11
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome10
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making10
Structured time‐dependent inverse regression (STIR)10
Propensity score analysis with local balance10
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial10
Transfer Learning for Error‐Contaminated Poisson Regression Models10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
Handling missing within‐study correlations in the evaluation of surrogate endpoints10
Correction to “Using principal stratification in analysis of clinical trials”10
Subgroup Testing in the Change‐Plane Cox Model10
Bland–Altman Plot for Censored Variables10
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations10
Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information10
Obituary: Anthony Leonard Johnson (1943‐2022)10
Association analysis of self‐reported outcomes with a validated subset10
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data9
Flexible propensity score estimation strategies for clustered data in observational studies9
Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Op9
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms9
An information‐theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: Application to vaccine evaluation9
Score Matching for Differential Abundance Testing of Compositional High‐Throughput Sequencing Data9
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions9
Causal Inference in the Presence of Missing Outcome and Treatment Variables: Triply Robust Estimator and Sensitivity Analysis9
Optimal weighted Bonferroni tests and their graphical extensions9
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data9
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures9
Robust inference for causal mediation analysis of recurrent event data9
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation9
On “Confirmatory” Methodological Research in Statistics and Related Fields9
Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis9
Local false discovery rate estimation with competition‐based procedures for variable selection9
Joint regression modelling of intensity and timing of accelerometer counts9
Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data9
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A Practical Framework to Design Immunization Studies Based on the Beta Distribution8
Issue Information8
Issue Information8
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures8
Sample size determination for prediction models via learning‐type curves8
Confidence intervals for odds ratio from multistage randomized phase II trials8
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On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection8
Issue Information8
Scaled average bioequivalence methods for highly variable drugs: Leveling‐off soft limits and the EMA's 2010 guideline (some ways to improve its type I error control)8
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data8
Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance8
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition8
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Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints8
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications8
Issue Information8
Multi‐threshold proportional hazards model and subgroup identification8
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints8
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods8
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards7
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths7
Federated causal inference in heterogeneous observational data7
A function‐based approach to model the measurement error in wearable devices7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic7
Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline7
Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID‐19 Positives in Brazil7
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression7
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Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies7
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data7
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities7
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis7
Extended Joinpoint Regression Methodology for Complex Survey Data7
Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time7
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis7
Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework7
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease7
Fusing trial data for treatment comparisons: Single vs multi‐span bridging7
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A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases7
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data7
Clustering‐Informed Shared‐Structure Variational Autoencoder for Missing Data Imputation in Large‐Scale Healthcare Data7
Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data7
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing7
A sequential, multiple assignment, randomized trial design with a tailoring function7
Minimization in randomized clinical trials7
Robust analysis of cancer heterogeneity for high‐dimensional data7
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data7
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model7
Allocation in platform trials to maintain comparability across time and eligibility6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic6
Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation6
Fitting additive risk models using auxiliary information6
An Efficient Estimation Method for Additive Subdistribution Hazards Model With Left‐Truncated Competing Risks Data Under the Case‐Cohort Study Design6
Optimal ensemble construction for multistudy prediction with applications to mortality estimation6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome6
The Design of Large‐Scale Plasma Donation Trials6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors6
Assessing heterogeneity in surrogacy using censored data6
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Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships6
Score Test for Functional Markov Process With Image Predictor6
Confidence Set for the Cluster of a Spatial Scan Statistic6
Targeted maximum likelihood estimation of causal effects with interference: A simulation study6
The Cox Model With Adaptive Fused Group Bridge Penalty to Incorporate Historical Data Into the Analysis of Clinical Trials With an Application to BMT CTN 11016
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Tony Johnson—memories and a tribute6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies6
A comparison of different methods to adjust survival curves for confounders6
Likelihood Confidence Intervals for Misspecified Cox Models6
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial6
Properties of the full random‐effect modeling approach with missing covariate data6
Fast estimation of mixed‐effects location‐scale regression models6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
Multivariate and Online Transfer Learning With Uncertainty Quantification6
Refined moderation analysis with categorical outcomes in precision medicine6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data6
A Note on the Sample Size Formula for a Win Ratio Endpoint6
Distributional imputation for the analysis of censored recurrent events6
Moving Toward Best Practice When Using Propensity Score Weighting in Survey Observational Studies6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
Issue Information5
Improving the Effectiveness of Sample Size Re‐Estimation: An Operating Characteristic Focused, Hybrid Frequentist‐Bayesian Approach5
Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model5
Correction to “DL 101: Basic Introduction to Deep Learning With Its Application in Biomedical Related Fields”5
Comparisons of statistical methods for handling attrition in a follow‐up visit with complex survey sampling5
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials5
False Discovery Estimation in Record Linkage5
Is UWLS Really Better for Medical Research?5
Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities5
A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data5
Issue Information5
Estimating Mean Viral Load Trajectory From Intermittent Longitudinal Data and Unknown Time Origins5
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