Statistics in Medicine

Papers
(The median citation count of Statistics in Medicine is 1. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
135
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies119
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Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model63
Transportability of model‐based estimands in evidence synthesis58
Data fusion for predicting long‐term program impacts51
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances47
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study45
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index44
Bayesian additive regression trees for multivariate skewed responses42
Confidence Intervals for AUC and pAUC by Empirical Likelihood41
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints39
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule35
The Whys, Whens, and Hows of Futility Monitoring33
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology32
Issue Information31
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Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”26
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior26
Dynamic Single‐Index Scalar‐On‐Function Model26
The polytomous discrimination index for prediction involving multistate processes under intermittent observation24
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial23
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach23
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data23
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm21
Optimal confidence intervals for the relative risk and odds ratio21
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures21
Synthesizing studies for comparing different treatment sequences in clinical trials20
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model19
Bayesian mixture modelling with ranked set samples19
Network and covariate adjusted response‐adaptive design for binary response19
Real time monitoring and prediction of time to endpoint maturation in clinical trials18
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout18
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On the parameter estimation of Box‐Cox transformation cure model18
Improving main analysis by borrowing information from auxiliary data18
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example18
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Robustness of κ‐type coefficients for clinical agreement17
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study17
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs17
Regression Trees With Fused Leaves16
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models16
Estimands for factorial trials16
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment15
Relative sparsity for medical decision problems15
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries15
Issue Information14
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure14
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome14
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight14
Multiple multi‐sample testing under arbitrary covariance dependency14
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival14
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine14
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score14
Estimating contact network properties by integrating multiple data sources associated with infectious diseases14
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data14
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults13
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine13
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model13
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
Nonparametric empirical Bayes biomarker imputation and estimation13
Sensitivity analysis of G‐estimators to invalid instrumental variables13
Information‐incorporated sparse hierarchical cancer heterogeneity analysis13
Modeling intra‐individual inter‐trial EEG response variability in autism13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system12
Weighted McNemar's test for the comparison of two screening tests in the presence of verification bias12
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies12
Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring12
A systematic review and evaluation of statistical methods for group variable selection12
Multilevel Longitudinal Functional Principal Component Model12
Model‐assisted analyses of longitudinal, ordinal outcomes with absorbing states12
Instrumental variable model average with applications in Mendelian randomization12
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research12
A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments12
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies12
Optimal adaptive allocation using deep reinforcement learning in a dose‐response study12
Finding the best subgroup with differential treatment effect with multiple outcomes12
IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication11
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects11
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Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline11
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions11
Covariate adjustment in randomized clinical trials with missing covariate and outcome data11
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Outlier Detection in Mendelian Randomization11
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome11
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Standardization and other approaches to meta‐analyze differences in means11
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures10
Issue Information10
Handling missing within‐study correlations in the evaluation of surrogate endpoints10
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Optimal weighted Bonferroni tests and their graphical extensions10
Joint regression modelling of intensity and timing of accelerometer counts10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
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Obituary: Anthony Leonard Johnson (1943‐2022)10
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Analysis of composite endpoints with component‐wise censoring in the presence of differential visit schedules9
Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates9
Group sequential designs for clinical trials when the maximum sample size is uncertain9
Flexible template matching for observational study design9
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
Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 0679
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome9
Robust inference for causal mediation analysis of recurrent event data9
Complex survival trial design by the product integration method9
Structured time‐dependent inverse regression (STIR)9
Correction to “Using principal stratification in analysis of clinical trials”9
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows9
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model9
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies9
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation9
Local false discovery rate estimation with competition‐based procedures for variable selection9
Propensity score analysis with local balance9
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Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial9
Association analysis of self‐reported outcomes with a validated subset9
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals8
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Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition8
Mixed‐type multivariate response regression with covariance estimation8
Causal inference methods for vaccine sieve analysis with effect modification8
Multi‐threshold proportional hazards model and subgroup identification8
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations8
Bland–Altman Plot for Censored Variables8
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data8
Subgroup Testing in the Change‐Plane Cox Model8
Robust structured heterogeneity analysis approach for high‐dimensional data8
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding8
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures8
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Flexible propensity score estimation strategies for clustered data in observational studies8
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment8
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making8
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
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A sequential, multiple assignment, randomized trial design with a tailoring function8
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A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time8
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model8
Transfer Learning for Error‐Contaminated Poisson Regression Models8
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity8
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Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty7
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures7
A function‐based approach to model the measurement error in wearable devices7
A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies7
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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
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A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies7
Sample size determination for prediction models via learning‐type curves7
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis7
Weighted generalized estimating equations and unified estimation for longitudinal data with nonmonotone missing data patterns7
Confidence intervals for odds ratio from multistage randomized phase II trials7
Minimization in randomized clinical trials7
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data7
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing7
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data7
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy7
Federated causal inference in heterogeneous observational data7
A penalization approach to random‐effects meta‐analysis7
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies7
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Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints7
A Practical Framework to Design Immunization Studies Based on the Beta Distribution7
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure7
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data7
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The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints7
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods7
Confidence Intervals for Adaptive Trial Designs II: Case Study and Practical Guidance7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model7
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications7
Matching‐Assisted Power Prior for Incorporating Real‐World Data in Randomized Clinical Trial Analysis6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
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Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression6
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data6
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths6
Approximate likelihood‐based estimation method of multiple‐type pathogen interactions: An application to longitudinal pneumococcal carriage data6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data6
Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome6
Fitting additive risk models using auxiliary information6
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models6
Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time6
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 practices6
A Note on the Sample Size Formula for a Win Ratio Endpoint6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation6
Properties of the full random‐effect modeling approach with missing covariate data6
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Allocation in platform trials to maintain comparability across time and eligibility6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs6
Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers6
Tony Johnson—memories and a tribute6
Robust analysis of cancer heterogeneity for high‐dimensional data6
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
A classification for complex imbalanced data in disease screening and early diagnosis6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships6
Score Test for Functional Markov Process With Image Predictor6
Fast estimation of mixed‐effects location‐scale regression models6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis6
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data6
Assessing heterogeneity in surrogacy using censored data6
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity6
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A comparison of different methods to adjust survival curves for confounders6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease6
Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling6
Nonparametric estimation of marked survival data in the presence of dependent censoring5
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models5
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Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models5
A Bayesian phase I/II platform design for co‐developing drug combination therapies for multiple indications5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials5
Two‐stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis5
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Overall assessment for selected markers from high‐throughput data5
Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data5
Individualized empirical null estimation for exact tests of healthcare quality5
Bayesian federated inference for estimating statistical models based on non‐shared multicenter data sets5
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Event‐specific win ratios for inference with terminal and non‐terminal events5
Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities5
Testing a global null hypothesis using ensemble machine learning methods5
Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study5
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