Statistics in Medicine

Article	Citations
	163
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies	129
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Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs	52
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Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study	49
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints	48
The Whys, Whens, and Hows of Futility Monitoring	45
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology	44
Issue Information	40
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior	36
Issue Information	36
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”	33
The polytomous discrimination index for prediction involving multistate processes under intermittent observation	31
Dynamic Single‐Index Scalar‐On‐Function Model	31
Robustness of κ‐type coefficients for clinical agreement	30
Bayesian mixture modelling with ranked set samples	30
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout	28
Optimal confidence intervals for the relative risk and odds ratio	26
On the parameter estimation of Box‐Cox transformation cure model	26
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures	26
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm	25
Synthesizing studies for comparing different treatment sequences in clinical trials	23
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Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model	21
Real time monitoring and prediction of time to endpoint maturation in clinical trials	21
Network and covariate adjusted response‐adaptive design for binary response	21
Data fusion for predicting long‐term program impacts	20
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example	20
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule	20
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	20
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial	19
Confidence Intervals for AUC and pAUC by Empirical Likelihood	19
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach	19
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study	19
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data	19
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions	19
Bayesian additive regression trees for multivariate skewed responses	18
A Review of Methods for Research Synthesis	18
Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model	18
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime	18
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index	17
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	17
Regression Trees With Fused Leaves	16
Transportability of model‐based estimands in evidence synthesis	16
Estimands for factorial trials	16
Issue Information	15
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment	15
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart	15
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine	15
Relative sparsity for medical decision problems	15
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome	15
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score	15
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries	15
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data	14
Multiple multi‐sample testing under arbitrary covariance dependency	14
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults	14
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival	14
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies	14
Estimating contact network properties by integrating multiple data sources associated with infectious diseases	14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure	14
Information‐incorporated sparse hierarchical cancer heterogeneity analysis	14
Multilevel Longitudinal Functional Principal Component Model	13
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model	13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system	13
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine	13
A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments	13
Nonparametric empirical Bayes biomarker imputation and estimation	13
Finding the best subgroup with differential treatment effect with multiple outcomes	12
Outlier Detection in Mendelian Randomization	12
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies	12
Model‐assisted analyses of longitudinal, ordinal outcomes with absorbing states	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
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research	12

Modeling intra‐individual inter‐trial EEG response variability in autism	12
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Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline	12
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring	12
Covariate adjustment in randomized clinical trials with missing covariate and outcome data	12
Weighted McNemar's test for the comparison of two screening tests in the presence of verification bias	12
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight	11
A systematic review and evaluation of statistical methods for group variable selection	11
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IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication	11
Standardization and other approaches to meta‐analyze differences in means	11
Instrumental variable model average with applications in Mendelian randomization	11
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions	11
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Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies	11
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Sensitivity analysis of G‐estimators to invalid instrumental variables	11
Issue Information	10
Obituary: Anthony Leonard Johnson (1943‐2022)	10
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial	10
Optimal weighted Bonferroni tests and their graphical extensions	10
Issue Information	10
Handling missing within‐study correlations in the evaluation of surrogate endpoints	10
Group sequential designs for clinical trials when the maximum sample size is uncertain	10
Issue Information	10
Joint regression modelling of intensity and timing of accelerometer counts	10
Local false discovery rate estimation with competition‐based procedures for variable selection	10
Propensity score analysis with local balance	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	9
Association analysis of self‐reported outcomes with a validated subset	9
Analysis of composite endpoints with component‐wise censoring in the presence of differential visit schedules	9
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making	9
Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 067	9
Robust inference for causal mediation analysis of recurrent event data	9
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome	9
Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates	9
Flexible template matching for observational study design	9
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Bland–Altman Plot for Censored Variables	9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation	9
Correction to “Using principal stratification in analysis of clinical trials”	9
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model	9
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data	9
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals	9
Flexible propensity score estimation strategies for clustered data in observational studies	9
Structured time‐dependent inverse regression (STIR)	9
Robust structured heterogeneity analysis approach for high‐dimensional data	8
Peter Armitage speaking on the occasion of the 50th Anniversary of the M.Sc. in Medical Statistics, LSHTM (for the Symposium on April 11‐12, 2019)	8
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment	8
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis	8
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A sequential, multiple assignment, randomized trial design with a tailoring function	8
Causal inference methods for vaccine sieve analysis with effect modification	8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data	8
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies	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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The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows	8
Subgroup Testing in the Change‐Plane Cox Model	8
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data	8
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations	8
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Issue Information	8
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model	8
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures	8
Multi‐threshold proportional hazards model and subgroup identification	8
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures	8
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Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome	8
Transfer Learning for Error‐Contaminated Poisson Regression Models	8
On “Confirmatory” Methodological Research in Statistics and Related Fields	8
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Issue Information	8
Issue Information	8
Issue Information	8
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition	8
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications	8
A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies	7

Sample size determination for prediction models via learning‐type curves	7
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases	7
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)	7
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy	7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing	7
Mixed‐type multivariate response regression with covariance estimation	7
Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance	7
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty	7
Issue Information	7
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities	7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic	7
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection	7
Clustering‐Informed Shared‐Structure Variational Autoencoder for Missing Data Imputation in Large‐Scale Healthcare Data	7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time	7
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints	7
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis	7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration	7
Minimization in randomized clinical trials	7
Confidence intervals for odds ratio from multistage randomized phase II trials	7
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods	7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards	7
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths	7
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data	7
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data	7
A Practical Framework to Design Immunization Studies Based on the Beta Distribution	7
Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data	7
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures	7
Federated causal inference in heterogeneous observational data	7
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints	7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis	7
Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach	7
A function‐based approach to model the measurement error in wearable devices	7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies	7
A classification for complex imbalanced data in disease screening and early diagnosis	7
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data	6
Assessing heterogeneity in surrogacy using censored data	6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome	6
Integrative deep learning with prior assisted feature selection	6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models	6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers	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
Covariate Balancing With Measurement Error	6
Fitting additive risk models using auxiliary information	6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis	6
Allocation in platform trials to maintain comparability across time and eligibility	6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs	6
A Note on the Sample Size Formula for a Win Ratio Endpoint	6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes	6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease	6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo	6
Robust analysis of cancer heterogeneity for high‐dimensional data	6
Penalized maximum likelihood inference under the mixture cure model in sparse data	6
Correlated geometric models of order k and its application to intensive care unit and leprosy data	6
Joint modeling approaches for censored predictors due to detection limits with applications to metabolites data	6
Approximate likelihood‐based estimation method of multiple‐type pathogen interactions: An application to longitudinal pneumococcal carriage data	6
Tony Johnson—memories and a tribute	6
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference	6
Fast estimation of mixed‐effects location‐scale regression models	6
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis	6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks	6
A comparison of different methods to adjust survival curves for confounders	6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging	6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation	6
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression	6
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Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships	6
Deep reinforcement learning for personalized treatment recommendation	6
Robust inference methods for meta‐analysis involving influential outlying studies	6
Properties of the full random‐effect modeling approach with missing covariate data	6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data	6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic	6
Matching‐Assisted Power Prior for Incorporating Real‐World Data in Randomized Clinical Trial Analysis	6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial	6
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials	6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables	6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method	6
Score Test for Functional Markov Process With Image Predictor	6
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Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial	6
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data	6
Issue Information	5
Nonparametric estimation of marked survival data in the presence of dependent censoring	5
Issues with the expected information matrix of linear mixed models provided by popular statistical packages under missingness at random dropout	5
Overall assessment for selected markers from high‐throughput data	5
Issue Information	5
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Cluster randomized trial designs for modeling time‐varying intervention effects	5
Two‐stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis	5
Categorisation of continuous covariates for stratified randomisation: How should we adjust?	5
A semi‐parametric Bayesian model for semi‐continuous longitudinal data	5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials	5
Comparisons of statistical methods for handling attrition in a follow‐up visit with complex survey sampling	5
Bayesian federated inference for estimating statistical models based on non‐shared multicenter data sets	5
Issue Information	5