Statistics in Medicine

Article	Citations
	159
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies	81
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The Whys, Whens, and Hows of Futility Monitoring	68
Issue Information	62
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior	57
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Confidence Intervals for AUC and pAUC by Empirical Likelihood	46
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A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions	40
Optimal confidence intervals for the relative risk and odds ratio	36
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial	36
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study	36
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm	32
Synthesizing studies for comparing different treatment sequences in clinical trials	32
Network and covariate adjusted response‐adaptive design for binary response	31
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model	29
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data	28
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Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”	28
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs	27
Bayesian additive regression trees for multivariate skewed responses	26
Estimands for factorial trials	26
Bayesian mixture modelling with ranked set samples	25
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index	25

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis	24
Dynamic Single‐Index Scalar‐On‐Function Model	23
Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example	23
Data fusion for predicting long‐term program impacts	23
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	22
On the parameter estimation of Box‐Cox transformation cure model	20
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout	20
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints	20
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach	20
A Review of Methods for Research Synthesis	20
Transportability of model‐based estimands in evidence synthesis	20
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example	20
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime	20
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule	20
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	19
Issue Information	19
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study	19
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology	19
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score	18
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries	18
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment	18
Regression Trees With Fused Leaves	18
Relative sparsity for medical decision problems	18
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies	17
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome	17
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart	17
Issue Information	17
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling	16
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials	16
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs	16
Issue Information	16
Adaptive Incorporation of External Summary Information in the Cox Regression Under Population Heterogeneity	16
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model	15
Estimating contact network properties by integrating multiple data sources associated with infectious diseases	15
Information‐incorporated sparse hierarchical cancer heterogeneity analysis	15
Sensitivity analysis of G‐estimators to invalid instrumental variables	15
Nonparametric empirical Bayes biomarker imputation and estimation	15
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults	15
Multilevel Longitudinal Functional Principal Component Model	14
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system	14
Standardization and other approaches to meta‐analyze differences in means	14
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A systematic review and evaluation of statistical methods for group variable selection	13
Multiple multi‐sample testing under arbitrary covariance dependency	13
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies	13
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring	13
Finding the best subgroup with differential treatment effect with multiple outcomes	13
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure	12
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects	12

Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies	12
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine	12
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival	12
BAR12 : Bayesian Autoregressive Phase 1‐2 Design for Cell Therapy Trials With Manufacturing Changes	12
Modeling intra‐individual inter‐trial EEG response variability in autism	12
Covariate adjustment in randomized clinical trials with missing covariate and outcome data	12
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline	12
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine	12
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach	12
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data	12
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight	12
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research	12
Outlier Detection in Mendelian Randomization	11
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Issue Information	11
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Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome	11
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment	11
Instrumental variable model average with applications in Mendelian randomization	11
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Local false discovery rate estimation with competition‐based procedures for variable selection	11
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model	11
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals	11
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Issue Information	11
Group sequential designs for clinical trials when the maximum sample size is uncertain	11
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows	11
Flexible template matching for observational study design	11
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial	10
Obituary: Anthony Leonard Johnson (1943‐2022)	10
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data	10
Robust inference for causal mediation analysis of recurrent event data	10
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations	10
Structured time‐dependent inverse regression (STIR)	10
Propensity score analysis with local balance	10
Bland–Altman Plot for Censored Variables	10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis	10
Handling missing within‐study correlations in the evaluation of surrogate endpoints	10
Correction to “Using principal stratification in analysis of clinical trials”	10
Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information	10
Transfer Learning for Error‐Contaminated Poisson Regression Models	10
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome	10
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making	10
Subgroup Testing in the Change‐Plane Cox Model	9
Flexible propensity score estimation strategies for clustered data in observational studies	9
Optimal weighted Bonferroni tests and their graphical extensions	9
Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data	9
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics	9
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Association analysis of self‐reported outcomes with a validated subset	9
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures	9
Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis	9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation	9
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms	9
Score Matching for Differential Abundance Testing of Compositional High‐Throughput Sequencing Data	9
On “Confirmatory” Methodological Research in Statistics and Related Fields	9
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions	9
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 evaluation	9
Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Op	9
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data	9
Joint regression modelling of intensity and timing of accelerometer counts	9
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 Information	8
Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance	8
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition	8
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Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints	8
Confidence intervals for odds ratio from multistage randomized phase II trials	8
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints	8
Multi‐threshold proportional hazards model and subgroup identification	8
Issue Information	8
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases	8
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods	8
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding	8
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Issue Information	8
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies	8
Sample size determination for prediction models via learning‐type curves	8
Issue Information	8

Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications	8
A Practical Framework to Design Immunization Studies Based on the Beta Distribution	8
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On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection	8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data	8
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures	8
Using a mixed‐effect model with a parameter‐space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices	7
A sequential, multiple assignment, randomized trial design with a tailoring function	7
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data	7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time	7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis	7
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data	7
Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework	7
Federated causal inference in heterogeneous observational data	7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model	7
Extended Joinpoint Regression Methodology for Complex Survey Data	7
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial	7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies	7
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships	7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic	7
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis	7
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models	7
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty	7
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Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach	7
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data	7
Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data	7
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths	7
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic	7
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities	7
Properties of the full random‐effect modeling approach with missing covariate data	7
Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline	7
Clustering‐Informed Shared‐Structure Variational Autoencoder for Missing Data Imputation in Large‐Scale Healthcare Data	7
Fusing trial data for treatment comparisons: Single vs multi‐span bridging	7
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data	7
Minimization in randomized clinical trials	7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing	7
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression	7
A function‐based approach to model the measurement error in wearable devices	7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards	7
Score Test for Functional Markov Process With Image Predictor	6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs	6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method	6
A Commentary on Chatterjee Et Al. (2018): A Corrected Framework for Group Sparsity in Zero‐Inflated Negative Binomial Models	6
An Efficient Estimation Method for Additive Subdistribution Hazards Model With Left‐Truncated Competing Risks Data Under the Case‐Cohort Study Design	6
Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID‐19 Positives in Brazil	6
Targeted maximum likelihood estimation of causal effects with interference: A simulation study	6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation	6
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 1101	6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis	6
Refined moderation analysis with categorical outcomes in precision medicine	6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial	6
Distributional imputation for the analysis of censored recurrent events	6
Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies	6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data	6
A Note on the Sample Size Formula for a Win Ratio Endpoint	6
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis	6
Fitting additive risk models using auxiliary information	6
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Robust inference methods for meta‐analysis involving influential outlying studies	6
The Design of Large‐Scale Plasma Donation Trials	6
Robust analysis of cancer heterogeneity for high‐dimensional data	6
Multivariate and Online Transfer Learning With Uncertainty Quantification	6
Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation	6
Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion	6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables	6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes	6
Likelihood Confidence Intervals for Misspecified Cox Models	6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference	6
Penalized maximum likelihood inference under the mixture cure model in sparse data	6
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Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks	6
Allocation in platform trials to maintain comparability across time and eligibility	6
A comparison of different methods to adjust survival curves for confounders	6
Confidence Set for the Cluster of a Spatial Scan Statistic	6
A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk	6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease	6
Spike‐and‐slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high‐dimensional data analysis	6
Fast estimation of mixed‐effects location‐scale regression models	6
Optimal ensemble construction for multistudy prediction with applications to mortality estimation	6
Moving Toward Best Practice When Using Propensity Score Weighting in Survey Observational Studies	6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome	6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo	6
Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors	6
Assessing heterogeneity in surrogacy using censored data	6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers	6
Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival	6
Tony Johnson—memories and a tribute	6
Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model	5
Issue Information	5
Sample size calculation for randomized selection trials with a time‐to‐event endpoint and a margin of practical equivalence	5
A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data	5
Correction to “DL 101: Basic Introduction to Deep Learning With Its Application in Biomedical Related Fields”	5
False Discovery Estimation in Record Linkage	5
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models	5