Statistics in Medicine

Article	Citations
	214
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies	152
	80
	66
	64
The polytomous discrimination index for prediction involving multistate processes under intermittent observation	58
On the parameter estimation of Box‐Cox transformation cure model	53
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach	50
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints	49
A Review of Methods for Research Synthesis	45
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime	45
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout	40
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data	34
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example	34
The Whys, Whens, and Hows of Futility Monitoring	34
Issue Information	31
Dynamic Single‐Index Scalar‐On‐Function Model	30
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior	30
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs	28
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”	28
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	27
Issue Information	27
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology	27
Optimal confidence intervals for the relative risk and odds ratio	26
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study	26

Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures	25
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model	24
Network and covariate adjusted response‐adaptive design for binary response	24
Synthesizing studies for comparing different treatment sequences in clinical trials	24
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm	24
	23
Real time monitoring and prediction of time to endpoint maturation in clinical trials	22
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index	21
Bayesian mixture modelling with ranked set samples	21
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule	20
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions	20
Confidence Intervals for AUC and pAUC by Empirical Likelihood	20
Bayesian additive regression trees for multivariate skewed responses	20
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study	20
Data fusion for predicting long‐term program impacts	19
Transportability of model‐based estimands in evidence synthesis	19
Estimands for factorial trials	19
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial	19
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	19
Regression Trees With Fused Leaves	18
Relative sparsity for medical decision problems	18
Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis	18
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries	18
Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example	18
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome	17
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies	17
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment	17
Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling	17
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score	17
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart	17
Issue Information	17
Adaptive Incorporation of External Summary Information in the Cox Regression Under Population Heterogeneity	16
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs	16
Sensitivity analysis of G‐estimators to invalid instrumental variables	15
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults	15
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials	15
Estimating contact network properties by integrating multiple data sources associated with infectious diseases	15
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine	15
Issue Information	15
Information‐incorporated sparse hierarchical cancer heterogeneity analysis	15
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure	15
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model	14
Nonparametric empirical Bayes biomarker imputation and estimation	14
Multilevel Longitudinal Functional Principal Component Model	13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system	13
Standardization and other approaches to meta‐analyze differences in means	13
Multiple multi‐sample testing under arbitrary covariance dependency	12
	12
Outlier Detection in Mendelian Randomization	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
A systematic review and evaluation of statistical methods for group variable selection	12
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies	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
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline	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
	12
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring	12
Finding the best subgroup with differential treatment effect with multiple outcomes	12
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies	12
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data	12
Covariate adjustment in randomized clinical trials with missing covariate and outcome data	11
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research	11
Issue Information	11
	11
	11
Modeling intra‐individual inter‐trial EEG response variability in autism	11
	11
Issue Information	11
Instrumental variable model average with applications in Mendelian randomization	11
BAR12 : Bayesian Autoregressive Phase 1‐2 Design for Cell Therapy Trials With Manufacturing Changes	11
	11
Joint regression modelling of intensity and timing of accelerometer counts	11
Local false discovery rate estimation with competition‐based procedures for variable selection	11
Subgroup Testing in the Change‐Plane Cox Model	10
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures	10
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions	10
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome	10
Handling missing within‐study correlations in the evaluation of surrogate endpoints	10
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making	10
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment	10
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals	10
Association analysis of self‐reported outcomes with a validated subset	10
Optimal weighted Bonferroni tests and their graphical extensions	10
Flexible template matching for observational study design	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 evaluation	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
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations	10
Robust inference for causal mediation analysis of recurrent event data	10
Group sequential designs for clinical trials when the maximum sample size is uncertain	10
Flexible propensity score estimation strategies for clustered data in observational studies	10
	10
Structured time‐dependent inverse regression (STIR)	10
Correction to “Using principal stratification in analysis of clinical trials”	10
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome	10
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data	10
Transfer Learning for Error‐Contaminated Poisson Regression Models	10
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data	9
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial	9
On “Confirmatory” Methodological Research in Statistics and Related Fields	9
Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Op	9
Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis	9
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics	9
	9
Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information	9
Obituary: Anthony Leonard Johnson (1943‐2022)	9
Score Matching for Differential Abundance Testing of Compositional High‐Throughput Sequencing Data	9
Propensity score analysis with local balance	9
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows	9
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms	9
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model	9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation	9
Structure Identification, Estimation for Variable Selection and Varying Coefficient EV Models With Longitudinal Data	9
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications	8
	8
	8
	8
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints	8
Issue Information	8
Issue Information	8
Issue Information	8
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition	8
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths	8
Confidence intervals for odds ratio from multistage randomized phase II trials	8
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods	8
Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance	8
Issue Information	8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data	8
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding	8

A Practical Framework to Design Immunization Studies Based on the Beta Distribution	8
	8
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data	8
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
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases	8
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection	8
Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework	7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing	7
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints	7
A function‐based approach to model the measurement error in wearable devices	7
Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data	7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic	7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model	7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time	7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards	7
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	7
Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach	7
Multi‐threshold proportional hazards model and subgroup identification	7
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies	7
Sample size determination for prediction models via learning‐type curves	7
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty	7
Minimization in randomized clinical trials	7
Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline	7
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis	7
Clustering‐Informed Shared‐Structure Variational Autoencoder for Missing Data Imputation in Large‐Scale Healthcare Data	7
Extended Joinpoint Regression Methodology for Complex Survey Data	7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis	7
A sequential, multiple assignment, randomized trial design with a tailoring function	7
A classification for complex imbalanced data in disease screening and early diagnosis	7
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures	7
	7
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data	7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies	7
Federated causal inference in heterogeneous observational data	7
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities	7
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data	6
Moving Toward Best Practice When Using Propensity Score Weighting in Survey Observational Studies	6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships	6
A comparison of different methods to adjust survival curves for confounders	6
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data	6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes	6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging	6
Penalized maximum likelihood inference under the mixture cure model in sparse data	6
Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation	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
Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival	6
Integrative deep learning with prior assisted feature selection	6
Allocation in platform trials to maintain comparability across time and eligibility	6
Tony Johnson—memories and a tribute	6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables	6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome	6
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis	6
Assessing heterogeneity in surrogacy using censored data	6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic	6
Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID‐19 Positives in Brazil	6
Fast estimation of mixed‐effects location‐scale regression models	6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method	6
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression	6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo	6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis	6
Multivariate and Online Transfer Learning With Uncertainty Quantification	6
Refined moderation analysis with categorical outcomes in precision medicine	6
Likelihood Confidence Intervals for Misspecified Cox Models	6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data	6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks	6
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials	6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial	6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference	6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial	6
Fitting additive risk models using auxiliary information	6
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	6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease	6
Properties of the full random‐effect modeling approach with missing covariate data	6
	6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation	6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models	6
Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies	6
Optimal ensemble construction for multistudy prediction with applications to mortality estimation	6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs	6
	6
A Note on the Sample Size Formula for a Win Ratio Endpoint	6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers	6
Robust analysis of cancer heterogeneity for high‐dimensional data	6
Distributional imputation for the analysis of censored recurrent events	6
Score Test for Functional Markov Process With Image Predictor	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
Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study	5
Issues with the expected information matrix of linear mixed models provided by popular statistical packages under missingness at random dropout	5
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models	5
Two‐stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis	5
Issue Information	5
Issue Information	5
Nonparametric estimation of marked survival data in the presence of dependent censoring	5
Overall assessment for selected markers from high‐throughput data	5
Issue Information	5