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 2021-10-01 to 2025-10-01.)
ArticleCitations
123
111
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies69
Confidence Intervals for AUC and pAUC by Empirical Likelihood61
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach55
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial52
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data51
45
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models44
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index43
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances40
Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model40
37
Transportability of model‐based estimands in evidence synthesis37
Bayesian additive regression trees for multivariate skewed responses35
Real time monitoring and prediction of time to endpoint maturation in clinical trials31
On the parameter estimation of Box‐Cox transformation cure model31
Optimal confidence intervals for the relative risk and odds ratio31
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures28
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm26
Network and covariate adjusted response‐adaptive design for binary response24
Synthesizing studies for comparing different treatment sequences in clinical trials24
Bayesian mixture modelling with ranked set samples23
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study23
Improving main analysis by borrowing information from auxiliary data21
Data fusion for predicting long‐term program impacts21
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model21
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study21
The polytomous discrimination index for prediction involving multistate processes under intermittent observation20
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints20
The Whys, Whens, and Hows of Futility Monitoring19
Issue Information18
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology18
Issue Information18
Issue Information18
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”17
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior17
Dynamic Single‐Index Scalar‐On‐Function Model17
Estimands for factorial trials17
17
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule17
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example16
Robustness of κ‐type coefficients for clinical agreement16
Bayesian model‐averaged meta‐analysis in medicine16
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs16
A simulation study of disaggregation regression for spatial disease mapping16
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout15
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries15
Regression Trees With Fused Leaves15
Multiple multi‐sample testing under arbitrary covariance dependency15
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults14
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data14
Sensitivity analysis of G‐estimators to invalid instrumental variables14
Estimating contact network properties by integrating multiple data sources associated with infectious diseases14
Finding the best subgroup with differential treatment effect with multiple outcomes14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure14
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model13
Multilevel Longitudinal Functional Principal Component Model13
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine13
Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome13
Modeling intra‐individual inter‐trial EEG response variability in autism13
Information‐incorporated sparse hierarchical cancer heterogeneity analysis13
Nonparametric empirical Bayes biomarker imputation and estimation13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system13
12
Model‐assisted analyses of longitudinal, ordinal outcomes with absorbing states12
Optimal adaptive allocation using deep reinforcement learning in a dose‐response study12
A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments12
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart12
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome12
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects12
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies12
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies12
Outlier Detection in Mendelian Randomization12
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline12
IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication12
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight11
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine11
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment11
Instrumental variable model average with applications in Mendelian randomization11
A systematic review and evaluation of statistical methods for group variable selection11
Relative sparsity for medical decision problems11
Covariate adjustment in randomized clinical trials with missing covariate and outcome data11
Weighted McNemar's test for the comparison of two screening tests in the presence of verification bias11
11
Issue Information11
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score11
Standardization and other approaches to meta‐analyze differences in means11
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival11
11
Complex survival trial design by the product integration method10
Issue Information10
Obituary: Anthony Leonard Johnson (1943‐2022)10
Handling missing within‐study correlations in the evaluation of surrogate endpoints10
Joint regression modelling of intensity and timing of accelerometer counts10
Issue Information10
10
Issue Information10
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions10
Optimal weighted Bonferroni tests and their graphical extensions10
10
Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates10
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome10
9
Local false discovery rate estimation with competition‐based procedures for variable selection9
Group sequential designs for clinical trials when the maximum sample size is uncertain9
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
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making9
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial9
Structured time‐dependent inverse regression (STIR)9
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations9
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 intervals9
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies9
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data9
Propensity score analysis with local balance9
Correction to “Using principal stratification in analysis of clinical trials”9
Robust inference for causal mediation analysis of recurrent event data9
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 evaluation8
8
A sequential, multiple assignment, randomized trial design with a tailoring function8
Comparing the sensitivities of two screening tests in nonblinded randomized paired screen‐positive trials with differential screening uptake8
Mixed‐type multivariate response regression with covariance estimation8
8
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows8
New methods for multiple testing in permutation inference for the general linear model8
Analysis of composite endpoints with component‐wise censoring in the presence of differential visit schedules8
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment8
8
8
A classification for complex imbalanced data in disease screening and early diagnosis8
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies8
Robust structured heterogeneity analysis approach for high‐dimensional data8
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition8
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model8
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity8
Transfer Learning for Error‐Contaminated Poisson Regression Models8
Bland–Altman Plot for Censored Variables8
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
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation8
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths8
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures8
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding8
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
Flexible propensity score estimation strategies for clustered data in observational studies8
Flexible template matching for observational study design8
Subgroup Testing in the Change‐Plane Cox Model8
A function‐based approach to model the measurement error in wearable devices7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model7
Issue Information7
Multilevel Regression and Poststratification Using Margins of Poststratifiers: Improving Inference for HIV Health Outcomes During the COVID‐19 Pandemic7
Confidence Intervals for Adaptive Trial Designs II: Case Study and Practical Guidance7
Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis7
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods7
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints7
Minimization in randomized clinical trials7
7
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures7
Issue Information7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing7
Issue Information7
Confidence intervals for odds ratio from multistage randomized phase II trials7
Weighted generalized estimating equations and unified estimation for longitudinal data with nonmonotone missing data patterns7
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy7
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications7
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure7
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data7
Issue Information7
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies7
Causal inference methods for vaccine sieve analysis with effect modification7
A penalization approach to random‐effects meta‐analysis7
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards7
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration7
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
Issue Information7
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection7
Multi‐threshold proportional hazards model and subgroup identification7
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases7
Set‐regression with applications to subgroup analysis6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation6
Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes6
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression6
Targeted maximum likelihood estimation of causal effects with interference: A simulation study6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
Federated causal inference in heterogeneous observational data6
Properties of the full random‐effect modeling approach with missing covariate data6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial6
Robust analysis of cancer heterogeneity for high‐dimensional data6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies6
Assessing heterogeneity in surrogacy using censored data6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging6
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials6
6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs6
A comparison of different methods to adjust survival curves for confounders6
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data6
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
Fast estimation of mixed‐effects location‐scale regression models6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
Score Test for Functional Markov Process With Image Predictor6
Fitting additive risk models using auxiliary information6
6
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity6
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data6
Approximate likelihood‐based estimation method of multiple‐type pathogen interactions: An application to longitudinal pneumococcal carriage data6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
6
Allocation in platform trials to maintain comparability across time and eligibility6
Measurement errors in control risk regression: A comparison of correction techniques6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
A Note on the Sample Size Formula for a Win Ratio Endpoint6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
Issue Information6
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data6
Sample size determination for prediction models via learning‐type curves6
Multiple Imputation of Missing Covariates When Using the Fine–Gray Model5
Designing a longitudinal clinical trial based on a composite endpoint: Sample size, monitoring, and adaptation5
BEAM: Bayesian Hybrid Design With Adaptive Sample Size Through Multisource Exchangeability Modeling5
Sample size calculation in hierarchical 2×2 factorial trials with unequal cluster sizes5
Exact test and exact confidence interval for the Cox model5
Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities5
Nonparametric estimation of marked survival data in the presence of dependent censoring5
Testing a global null hypothesis using ensemble machine learning methods5
A semi‐parametric Bayesian model for semi‐continuous longitudinal data5
5
Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data5
A Bayesian phase I/II platform design for co‐developing drug combination therapies for multiple indications5
Overall assessment for selected markers from high‐throughput data5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials5
Issues with the expected information matrix of linear mixed models provided by popular statistical packages under missingness at random dropout5
Estimating Mean Viral Load Trajectory From Intermittent Longitudinal Data and Unknown Time Origins5
Event‐specific win ratios for inference with terminal and non‐terminal events5
Use of likelihood estimates for variances for the design and evaluation of multiregional clinical trials with heterogeneous variances5
Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model5
Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study5
0.96690988540649