Statistical Methods in Medical Research

Papers
(The median citation count of Statistical Methods in Medical Research 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Equivalence tests for ratio of means in bioequivalence studies under crossover design107
Design and analysis of partially randomized preference trials with propensity score stratification65
Confidence estimation based on data from independent studies59
Weighted reverse counting process (WRCP): A novel approach to quantify the overall treatment effect with multiple time-to-event outcomes by adaptive weighting55
A generalized epidemiological model with dynamic and asymptomatic population45
Covariate adjustment in Bayesian adaptive randomized controlled trials34
The “Why” behind including “Y” in your imputation model33
Simulation extrapolation method for measurement error: A review26
Regression analysis of longitudinal data with random change point25
Bivariate copula regression models for semi-competing risks24
Omnibus test for restricted mean survival time based on influence function22
Robust integration of secondary outcomes information into primary outcome analysis in the presence of missing data21
Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions20
Commentary on the use of the reproduction number R during the COVID-19 pandemic19
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood18
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations18
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression18
Comparison between inverse-probability weighting and multiple imputation in Cox model with missing failure subtype17
Optimal study designs for cluster randomised trials: An overview of methods and results17
A general consonance principle for closure tests based on p-values17
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings15
Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data15
Generalized fiducial inference for the restricted mean survival time15
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data15
Instrumental variable analysis with categorical treatment14
Editorial14
A unified approach to power and sample size determination for log-rank tests under proportional and nonproportional hazards13
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly12
Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time12
Regression analysis of a future state entry time distribution conditional on a past state occupation in a progressive multistate model11
Improved semi-parametric inference for a mixture model of responses from a control versus treatment group trial11
Model-based optimal randomization procedure for treatment–covariate interaction tests11
Simulation models for aggregated data meta-analysis: Evaluation of pooling effect sizes and publication biases11
Accounting for regression to the mean under the bivariate t-distribution11
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data11
Semiparametric generalized estimating equations for repeated measurements in cross-over designs11
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study10
A latent class linear mixed model for monotonic continuous processes measured with error10
Approximate Bayesian computation design for phase I clinical trials10
Optimal sampling allocation for outcome-dependent designs in cluster-correlated data settings9
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence9
Dynamic survival analysis: Modelling the hazard function via ordinary differential equations9
Design and analysis of factorial clinical trials: The impact of one treatment's effectiveness on the statistical power and required sample size of the other8
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time8
Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes8
Joint regression analysis of clustered current status data with latent variables8
Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes8
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study8
Non-parametric treatment time-lag effect estimation8
Time-varying coefficient additive hazards model with latent variables8
Refined moderation analysis with binary outcomes in precision medicine research8
Estimating drug concentration–response relationships by applying causal inference methods for continuous point exposures and time-to-event outcomes8
A novel model-checking approach for dose-response relationships8
Exact interval estimation for the linear combination of binomial proportions8
Statistical methods for analysis of combined biomarker data from multiple nested case–control studies8
Analysis of hospital readmissions with competing risks7
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data7
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-197
Heterogeneous treatment effect estimation for observational data using model-based forests7
Clustering minimal inhibitory concentration data through Bayesian mixture models: An application to detect Mycobacterium tuberculosis resistance mutations7
Standardization of continuous and categorical covariates in sparse penalized regressions7
Using dichotomized survival data to construct a prior distribution for a Bayesian seamless Phase II/III clinical trial7
Estimating target population treatment effects in meta-analysis with individual participant-level data7
Unbiased and robust analysis of co-localization in super-resolution images7
Variance estimation for the average treatment effects on the treated and on the controls7
Use of clinical tolerance limits for assessing agreement7
Logistic regression with correlated measurement error and misclassification in covariates7
Partly linear single-index cure models with a nonparametric incidence link function7
A model-based approach for historical borrowing, with an application to neovascular age-related macular degeneration7
Relationship between collider bias and interactions on the log-additive scale7
Sample sizes required to estimate the protective efficacy of a vaccine when there is an unequal allocation of individuals across the vaccine and placebo groups7
A novel rare variants association test for binary traits in family-based designs via copulas7
Reference ranges: Why tolerance intervals should not be used. Comment on Liu, Bretz and Cortina-Borja, Reference range: Which statistical intervals to use? SMMR, 2021,Vol. 30(2) 523–5346
Simultaneous variable selection and estimation for a partially linear Cox model6
Demystifying estimands in cluster-randomised trials6
Point estimation following a two-stage group sequential trial6
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data6
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts6
Goodness-of-fit tests for modified Poisson regression possibly producing fitted values exceeding one in binary outcome analysis6
A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes6
Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem6
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data6
The staircase cluster randomised trial design: A pragmatic alternative to the stepped wedge6
Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance6
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis6
On estimation of overall treatment effects in multiregional clinical trials under a discrete random effects model6
Matching ratio and sample size for optimal sequential testing with binomial data6
Impact of unequal censoring and insufficient follow-up on comparing survival outcomes: Applications to clinical studies6
Variance partitioning in spatio-temporal disease mapping models6
A connection between covariate adjustment and stratified randomization in randomized clinical trials6
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.6
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets5
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data5
Weighted functional linear Cox regression model5
A general averaging method for count data with overdispersion and/or excess zeros in biomedicine5
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics5
Weighted mean difference statistics for paired data in the presence of missing values5
Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach5
Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis5
A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data5
Bayesian analysis of longitudinal binary responses based on the multivariate probit model: A comparison of five methods5
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery5
Reducing the false discovery rate of preclinical animal research with Bayesian statistical decision criteria5
Bayesian variable selection in hierarchical difference-in-differences models5
Model-free screening for variables with treatment interaction5
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data5
Marginal semiparametric accelerated failure time cure model for clustered survival data5
A computationally efficient approach to false discovery rate control and power maximisation via randomisation and mirror statistic5
Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup data5
A functional proportional hazard cure rate model for interval-censored data5
Average treatment effect on the treated, under lack of positivity5
Impact of minimal sufficient balance, minimization, and stratified permuted blocks on bias and power in the estimation of treatment effect in sequential clinical trials with a binary endpoint5
A Bayesian quasi-likelihood design for identifying the minimum effective dose and maximum utility dose in dose-ranging studies5
A structured iterative division approach for non-sparse regression models and applications in biological data analysis5
Determination of correlations in multivariate count data with informative observation times5
Concordance correlation coefficients estimated by modified variance components and generalized estimating equations for longitudinal overdispersed Poisson data5
Methodology for supervised optimization of the construction of physician shared-patient networks5
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance4
Unit information prior for incorporating real-world evidence into randomized controlled trials4
Improving transportability of randomized controlled trial inference using robust prediction methods4
An additive-multiplicative model for longitudinal data with informative observation times4
Distribution-free control charts for mixed-type data based on rank of interpoint distances4
Flexible semiparametric mode regression for time-to-event data4
Boosting distributional copula regression for bivariate binary, discrete and mixed responses4
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions4
Using a centered general linear model for detection of interactions among biomarkers4
Repeated measures discriminant analysis using multivariate generalized estimation equations4
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance4
The joint quantile regression modeling of mixed ordinal and continuous responses with its application to an obesity risk data4
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models4
Factorial survival analysis for treatment effects under dependent censoring4
Estimating transformations for evaluating diagnostic tests with covariate adjustment4
Goodness-of-fit tests for a logistic regression model with missing covariates4
Generalised pairwise comparisons for trend: An extension to the win ratio and win odds for dose-response and prognostic variable analysis with arbitrary statements of outcome preference4
Single reader between-cases AUC estimator with nested data4
An objective Bayesian approach to estimation in multistage experiments4
A multi-state Markov model using notification data to estimate HIV incidence, number of undiagnosed individuals living with HIV, and delay between infection and diagnosis: Illustration in France, 20084
Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data4
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses4
Random survival forests with multivariate longitudinal endogenous covariates4
The benefits of covariate adjustment for adaptive multi-arm designs4
Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines4
Unified approach to optimal estimation of mean and standard deviation from sample summaries4
Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions4
l2-Penalized temporal logit-mixed models for the estimation of regional obesity prevalence over time4
Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease4
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects4
Data-driven clustering of infectious disease incidence into age groups3
Generalized Bayesian kernel machine regression3
Group sequential design using restricted mean survival time as the primary endpoint in clinical trials3
Nonparametric analysis of doubly truncated and interval-censored data3
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy3
The change in estimate method for selecting confounders: A simulation study3
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed3
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory3
Ensemble methods for survival function estimation with time-varying covariates3
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families3
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula3
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling3
Risk difference tests for stratified binary data under Dallal’s model3
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices3
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects3
Conversion of non-inferiority margin from hazard ratio to restricted mean survival time difference using data from multiple historical trials3
A bivariate zero-inflated negative binomial model and its applications to biomedical settings3
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis3
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction3
Long-term Dagum-power variance function frailty regression model: Application in health studies3
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint3
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study3
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos3
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates3
Logistic regression vs. predictive mean matching for imputing binary covariates3
Flexible joint model for time-to-event and non-Gaussian longitudinal outcomes3
A Bayesian group lasso classification for ADNI volumetrics data3
Estimation of covariate effects on net survivals in the relative survival progressive illness-death model3
Revisiting performance metrics for prediction with rare outcomes3
Joint modeling of zero-inflated longitudinal measurements and time-to-event outcomes with applications to dynamic prediction3
MEGH: A parametric class of general hazard models for clustered survival data3
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors3
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data3
Methods for non-proportional hazards in clinical trials: A systematic review3
Multiple imputation with missing data indicators3
Promising zone two-stage design for a single-arm study with binary outcome3
Detecting the skewness of data from the five-number summary and its application in meta-analysis3
Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma network3
LASSO-type instrumental variable selection methods with an application to Mendelian randomization3
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome3
Regularization approaches in clinical biostatistics: A review of methods and their applications3
Role of calibration in uncertainty-based referral for deep learning3
Additive hazards model with time-varying coefficients and imaging predictors3
Mediational g-formula for time-varying treatment and repeated-measured multiple mediators: Application to atorvastatin’s effect on cardiovascular disease via cholesterol lowering and anti-inflammatory3
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison3
Variable selection for a mark-specific additive hazards model using the adaptive LASSO3
A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes3
Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data2
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating2
A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study2
Doubly-robust estimator of the difference in restricted mean times lost with competing risks data2
Revisiting Gaussian Markov random fields and Bayesian disease mapping2
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects2
Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology2
Sample size determination for adaptive crossover trial in detecting gene-drug interactions2
Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints2
Saddlepoint approximation p-values of weighted log-rank tests based on censored clustered data under block Efron’s biased-coin design2
Robust integrative biclustering for multi-view data2
An iterative matrix uncertainty selector for high-dimensional generalized linear models with measurement errors2
Generalized quasi-linear mixed-effects model2
A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial2
The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models2
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity2
Familywise error rate control for block response-adaptive randomization2
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes2
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data2
Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropout2
Semiparametric estimation of the proportional rates model for recurrent events data with missing event category2
Analyzing the overall effects of the microbiome abundance data with a Bayesian predictive value approach2
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis2
Approximate confidence intervals for the difference in proportions for partially observed binary data2
Propensity score weighting methods for causal subgroup analysis with time-to-event outcomes2
Robust regression with asymmetric loss functions2
Directional-sum test for nonparametric Behrens-Fisher problem with applications to the dietary intervention trial2
Covariate-adjusted inference for doubly adaptive biased coin design2
Restricted mean survival time to estimate an intervention effect in a cluster randomized trial2
Extended excess hazard models for spatially dependent survival data2
Penalized variable selection in multi-parameter regression survival modeling2
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis2
Improving the estimation of the COVID-19 effective reproduction number using nowcasting2
Copula graphic estimation of the survival function with dependent censoring and its application to analysis of pancreatic cancer clinical trial2
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information2
Data-dependent early completion of dose-finding trials for drug-combination2
A Bayesian approach to simultaneous adjustment of misclassification and missingness in categorical covariates2
Modeling the patient mix for risk-adjusted CUSUM charts2
Estimating individualized treatment rules in longitudinal studies with covariate-driven observation times2
Resampling-based inferences for compositional regression with application to beef cattle microbiomes2
Bivariate joint models for survival and change of cognitive function2
Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial2
Modified Brier score for evaluating prediction accuracy for binary outcomes2
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK2
A simple and robust parametric shared frailty model for recurrent events with the competing risk of death: An application to the Carvedilol Prospective Randomized Cumulative Survival trial2
Bayesian inference on the number of recurrent events: A joint model of recurrence and survival2
Functional response regression model on correlated longitudinal microbiome sequencing data2
Optimal allocation strategies in platform trials with continuous endpoints1
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis1
Semi-parametric testing for ordinal treatment effects in time-to-event data via dynamic Dirichlet process mixtures of the inverse-Gaussian distribution1
Analysis of recurrent event data with spatial random effects using a Bayesian approach1
Statistical considerations for evaluating treatment effect under various non-proportional hazard scenarios1
Re-randomisation trials in multi-episode settings: Estimands and independence estimators1
How to add baskets to an ongoing basket trial with information borrowing1
Causal mediation analysis for time-to-event mediator and outcome in the presence of left truncation1
Effect estimation in the presence of a misclassified binary mediator1
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