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 2022-08-01 to 2026-08-01.)
ArticleCitations
167
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies94
78
The Whys, Whens, and Hows of Futility Monitoring71
Issue Information56
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Confidence Intervals for AUC and pAUC by Empirical Likelihood41
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions39
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial37
Optimal confidence intervals for the relative risk and odds ratio36
Synthesizing studies for comparing different treatment sequences in clinical trials33
Network and covariate adjusted response‐adaptive design for binary response32
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model31
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Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs29
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”29
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout28
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints28
A Review of Methods for Research Synthesis28
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime28
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example25
Bayesian additive regression trees for multivariate skewed responses24
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach24
Data fusion for predicting long‐term program impacts23
Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example23
Bayesian mixture modelling with ranked set samples23
Issue Information22
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data22
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology22
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study22
Dynamic Single‐Index Scalar‐On‐Function Model22
Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis22
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Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study21
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule21
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index21
Transportability of model‐based estimands in evidence synthesis20
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior20
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances20
Predictor‐Assisted Nonparametric Graphical Models With Multivariate Error‐Prone Data20
On the parameter estimation of Box‐Cox transformation cure model20
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries19
Relative sparsity for medical decision problems19
Regression Trees With Fused Leaves19
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score18
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome18
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling18
Issue Information18
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart18
Adaptive Incorporation of External Summary Information in the Cox Regression Under Population Heterogeneity17
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs17
Issue Information16
Estimating contact network properties by integrating multiple data sources associated with infectious diseases16
Sensitivity analysis of G‐estimators to invalid instrumental variables16
Information‐incorporated sparse hierarchical cancer heterogeneity analysis15
Multilevel Longitudinal Functional Principal Component Model15
Finding the best subgroup with differential treatment effect with multiple outcomes15
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Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults15
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model15
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies15
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system15
Nonparametric empirical Bayes biomarker imputation and estimation15
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring15
Multiple multi‐sample testing under arbitrary covariance dependency15
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach14
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine14
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data14
BAR12 : Bayesian Autoregressive Phase 1‐2 Design for Cell Therapy Trials With Manufacturing Changes14
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects14
Modeling intra‐individual inter‐trial EEG response variability in autism14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure14
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight13
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research13
Covariate adjustment in randomized clinical trials with missing covariate and outcome data13
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
Instrumental variable model average with applications in Mendelian randomization13
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials13
Outlier Detection in Mendelian Randomization13
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine13
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies12
Issue Information12
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline12
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A systematic review and evaluation of statistical methods for group variable selection12
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Issue Information12
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival12
Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta‐Diversity12
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Standardization and other approaches to meta‐analyze differences in means12
Group sequential designs for clinical trials when the maximum sample size is uncertain12
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment12
Transfer Learning for Error‐Contaminated Poisson Regression Models11
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model11
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals11
Propensity score analysis with local balance11
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions11
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows11
Causal Inference in the Presence of Missing Outcome and Treatment Variables: Triply Robust Estimator and Sensitivity Analysis11
Joint regression modelling of intensity and timing of accelerometer counts11
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data11
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome11
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial10
Handling missing within‐study correlations in the evaluation of surrogate endpoints10
Association analysis of self‐reported outcomes with a validated subset10
Robust inference for causal mediation analysis of recurrent event data10
Correction to “Using principal stratification in analysis of clinical trials”10
Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information10
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
Obituary: Anthony Leonard Johnson (1943‐2022)10
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 evaluation10
Local false discovery rate estimation with competition‐based procedures for variable selection10
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making10
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome10
Structured time‐dependent inverse regression (STIR)10
Subgroup Testing in the Change‐Plane Cox Model10
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures10
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms10
Flexible template matching for observational study design10
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations10
Score Matching for Differential Abundance Testing of Compositional High‐Throughput Sequencing Data9
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics9
Flexible propensity score estimation strategies for clustered data in observational studies9
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A Practical Framework to Design Immunization Studies Based on the Beta Distribution9
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications9
Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data9
On “Confirmatory” Methodological Research in Statistics and Related Fields9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation9
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Optimal weighted Bonferroni tests and their graphical extensions9
Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis9
Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Op9
Bland–Altman Plot for Censored Variables9
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data9
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Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition9
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths8
Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data8
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing8
Issue Information8
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints8
Multi‐threshold proportional hazards model and subgroup identification8
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures8
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints8
A function‐based approach to model the measurement error in wearable devices8
Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework8
Extended Joinpoint Regression Methodology for Complex Survey Data8
Issue Information8
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection8
Confidence intervals for odds ratio from multistage randomized phase II trials8
Issue Information8
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty8
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data8
Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach8
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
Issue Information8
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data8
Sample size determination for prediction models via learning‐type curves8
Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline7
Federated causal inference in heterogeneous observational data7
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic7
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs7
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial7
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data7
Frequentist Identification of Effective Baskets via the Generalized Information Criteria in Oncology Phase 2 Trials7
Robust analysis of cancer heterogeneity for high‐dimensional data7
Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies7
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis7
Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic7
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis7
Properties of the full random‐effect modeling approach with missing covariate data7
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
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data7
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A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases7
Low‐Rank Variational Correction Estimation for Multi‐Source Heterogeneous Quantile Linear Regression Models7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model7
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis7
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Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models7
Allocation in platform trials to maintain comparability across time and eligibility7
Moving Toward Best Practice When Using Propensity Score Weighting in Survey Observational Studies7
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease7
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data7
Minimization in randomized clinical trials7
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time7
A sequential, multiple assignment, randomized trial design with a tailoring function7
Clustering‐Informed Shared‐Structure Variational Autoencoder for Missing Data Imputation in Large‐Scale Healthcare Data7
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
Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival6
Performance of Cross‐Validated Targeted Maximum Likelihood Estimation6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging6
Matching‐Assisted Power Prior for Incorporating Real‐World Data in Randomized Clinical Trial Analysis6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers6
LEARNER: A Transfer Learning Method for Low‐Rank Matrix Estimation6
A Commentary on Chatterjee Et Al. (2018): A Corrected Framework for Group Sparsity in Zero‐Inflated Negative Binomial Models6
Assessing heterogeneity in surrogacy using censored data6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies6
A Comparison of Testing Procedures for Detecting Short‐ and Long‐Term Effects of Biomarkers for Cancer Screening6
Likelihood Confidence Intervals for Misspecified Cox Models6
Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling6
Multivariate and Online Transfer Learning With Uncertainty Quantification6
Refined moderation analysis with categorical outcomes in precision medicine6
Score Test for Functional Markov Process With Image Predictor6
Integrative deep learning with prior assisted feature selection6
A Note on the Sample Size Formula for a Win Ratio Endpoint6
Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors6
Distributional imputation for the analysis of censored recurrent events6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis6
Joint modeling approaches for censored predictors due to detection limits with applications to metabolites data6
Fast estimation of mixed‐effects location‐scale regression models6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
Confidence Set for the Cluster of a Spatial Scan Statistic6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion6
Optimal ensemble construction for multistudy prediction with applications to mortality estimation6
A comparison of different methods to adjust survival curves for confounders6
Unified semicompeting risks analysis of hepatitis natural history through mediation modeling6
A Bayesian Optimal Adaptive Clinical Trial Design for Sequentially Integrated Therapies6
Covariate Balancing With Measurement Error6
Tony Johnson—memories and a tribute6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data6
Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation6
Fitting additive risk models using auxiliary information6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
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Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes6
The Design of Large‐Scale Plasma Donation Trials6
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study5
Point estimation for adaptive trial designs II: Practical considerations and guidance5
Categorisation of continuous covariates for stratified randomisation: How should we adjust?5
Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models5
Cluster randomized trial designs for modeling time‐varying intervention effects5
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