Statistical Methods in Medical Research

Papers
(The TQCC of Statistical Methods in Medical Research is 4. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Simulation models for aggregated data meta-analysis: Evaluation of pooling effect sizes and publication biases91
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data62
A latent class linear mixed model for monotonic continuous processes measured with error55
Joint regression analysis of clustered current status data with latent variables50
Variance estimation for the average treatment effects on the treated and on the controls44
Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes32
The “Why” behind including “Y” in your imputation model29
A generalized epidemiological model with dynamic and asymptomatic population25
Estimating target population treatment effects in meta-analysis with individual participant-level data25
Simulation extrapolation method for measurement error: A review24
Estimating drug concentration–response relationships by applying causal inference methods for continuous point exposures and time-to-event outcomes22
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study22
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data19
A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes18
A unified approach to power and sample size determination for log-rank tests under proportional and nonproportional hazards17
Optimal study designs for cluster randomised trials: An overview of methods and results17
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data17
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood17
Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data17
Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem17
Regression analysis of a future state entry time distribution conditional on a past state occupation in a progressive multistate model16
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly16
The staircase cluster randomised trial design: A pragmatic alternative to the stepped wedge15
Sample sizes required to estimate the protective efficacy of a vaccine when there is an unequal allocation of individuals across the vaccine and placebo groups15
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.15
Approximate Bayesian computation design for phase I clinical trials14
Analysis of hospital readmissions with competing risks14
Accounting for regression to the mean under the bivariate t-distribution13
Use of clinical tolerance limits for assessing agreement13
Logistic regression with correlated measurement error and misclassification in covariates12
Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions12
Goodness-of-fit tests for modified Poisson regression possibly producing fitted values exceeding one in binary outcome analysis12
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) 523–53411
Standardization of continuous and categorical covariates in sparse penalized regressions11
Time-varying coefficient additive hazards model with latent variables11
A novel rare variants association test for binary traits in family-based designs via copulas11
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-1911
Impact of unequal censoring and insufficient follow-up on comparing survival outcomes: Applications to clinical studies11
Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis10
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data10
Covariate adjustment in Bayesian adaptive randomized controlled trials10
Comparison between inverse-probability weighting and multiple imputation in Cox model with missing failure subtype9
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence8
Matching ratio and sample size for optimal sequential testing with binomial data8
Equivalence tests for ratio of means in bioequivalence studies under crossover design8
Model-based optimal randomization procedure for treatment–covariate interaction tests8
Using dichotomized survival data to construct a prior distribution for a Bayesian seamless Phase II/III clinical trial8
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations8
Optimal sampling allocation for outcome-dependent designs in cluster-correlated data settings8
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study8
Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes8
Unbiased and robust analysis of co-localization in super-resolution images8
Improved semi-parametric inference for a mixture model of responses from a control versus treatment group trial8
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators8
Exact interval estimation for the linear combination of binomial proportions7
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings7
Robust integration of secondary outcomes information into primary outcome analysis in the presence of missing data7
Evaluating Bayesian adaptive randomization procedures with adaptive clip methods for multi-arm trials7
Instrumental variable analysis with categorical treatment7
Refined moderation analysis with binary outcomes in precision medicine research7
Design and analysis of factorial clinical trials: The impact of one treatment's effectiveness on the statistical power and required sample size of the other7
Non-parametric treatment time-lag effect estimation7
Weighted reverse counting process (WRCP): A novel approach to quantify the overall treatment effect with multiple time-to-event outcomes by adaptive weighting7
Partly linear single-index cure models with a nonparametric incidence link function7
Clustering minimal inhibitory concentration data through Bayesian mixture models: An application to detect Mycobacterium tuberculosis resistance mutations7
Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time7
A general consonance principle for closure tests based on p-values6
Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance6
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts6
A model-based approach for historical borrowing, with an application to neovascular age-related macular degeneration6
Dynamic survival analysis: Modelling the hazard function via ordinary differential equations6
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis6
Semiparametric generalized estimating equations for repeated measurements in cross-over designs6
Statistical methods for analysis of combined biomarker data from multiple nested case–control studies6
Variance partitioning in spatio-temporal disease mapping models6
Regression analysis of longitudinal data with random change point6
Demystifying estimands in cluster-randomised trials6
Point estimation following a two-stage group sequential trial6
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression6
A novel model-checking approach for dose-response relationships6
Bivariate copula regression models for semi-competing risks6
Omnibus test for restricted mean survival time based on influence function6
Calibrating validation samples when accounting for measurement error in intervention studies6
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates5
Detecting the skewness of data from the five-number summary and its application in meta-analysis5
Weighted functional linear Cox regression model5
Variable selection for a mark-specific additive hazards model using the adaptive LASSO5
A Bayesian quasi-likelihood design for identifying the minimum effective dose and maximum utility dose in dose-ranging studies5
LASSO-type instrumental variable selection methods with an application to Mendelian randomization5
Generalized fiducial inference for the restricted mean survival time5
Unified approach to optimal estimation of mean and standard deviation from sample summaries5
Heterogeneous treatment effect estimation for observational data using model-based forests5
Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease5
The change in estimate method for selecting confounders: A simulation study5
Estimating transformations for evaluating diagnostic tests with covariate adjustment5
Random survival forests with multivariate longitudinal endogenous covariates5
Flexible semiparametric mode regression for time-to-event data5
Model-free screening for variables with treatment interaction5
Regularization approaches in clinical biostatistics: A review of methods and their applications5
A functional proportional hazard cure rate model for interval-censored data5
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions5
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data5
Confidence estimation based on data from independent studies5
Logistic regression vs. predictive mean matching for imputing binary covariates5
An objective Bayesian approach to estimation in multistage experiments5
Goodness-of-fit tests for a logistic regression model with missing covariates5
Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data5
Methods for non-proportional hazards in clinical trials: A systematic review5
Glucodensities: A new representation of glucose profiles using distributional data analysis5
A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data5
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data5
Design and analysis of partially randomized preference trials with propensity score stratification5
Editorial5
Commentary on the use of the reproduction number R during the COVID-19 pandemic5
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets5
l2-Penalized temporal logit-mixed models for the estimation of regional obesity prevalence over time5
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study5
Repeated measures discriminant analysis using multivariate generalized estimation equations4
An additive-multiplicative model for longitudinal data with informative observation times4
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
Using a centered general linear model for detection of interactions among biomarkers4
Weighted mean difference statistics for paired data in the presence of missing values4
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 network4
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-inflammatory4
Conversion of non-inferiority margin from hazard ratio to restricted mean survival time difference using data from multiple historical trials4
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance4
Determination of correlations in multivariate count data with informative observation times4
The benefits of covariate adjustment for adaptive multi-arm designs4
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy4
Data-driven clustering of infectious disease incidence into age groups4
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses4
MEGH: A parametric class of general hazard models for clustered survival data4
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery4
Concordance correlation coefficients estimated by modified variance components and generalized estimating equations for longitudinal overdispersed Poisson data4
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling4
Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines4
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data4
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics4
Nonparametric analysis of doubly truncated and interval-censored data4
Promising zone two-stage design for a single-arm study with binary outcome4
Bayesian analysis of longitudinal binary responses based on the multivariate probit model: A comparison of five methods4
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices4
A bivariate zero-inflated negative binomial model and its applications to biomedical settings4
Improving transportability of randomized controlled trial inference using robust prediction methods4
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