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 2021-05-01 to 2025-05-01.)
ArticleCitations
Exact interval estimation for the linear combination of binomial proportions121
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly71
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data61
Omnibus test for restricted mean survival time based on influence function55
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood33
Covariate adjustment in Bayesian adaptive randomized controlled trials30
Confidence estimation based on data from independent studies27
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time26
Time-varying coefficient additive hazards model with latent variables26
Equivalence tests for ratio of means in bioequivalence studies under crossover design25
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence24
Commentary on the use of the reproduction number R during the COVID-19 pandemic21
Analysis of hospital readmissions with competing risks20
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 network19
Generalized Bayesian kernel machine regression19
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families19
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data18
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 preference18
Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines17
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-inflammatory16
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint16
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices16
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance15
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors15
Revisiting performance metrics for prediction with rare outcomes15
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance13
Random survival forests with multivariate longitudinal endogenous covariates12
Nonparametric analysis of doubly truncated and interval-censored data12
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses12
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling12
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison12
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models12
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis11
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimming11
Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials11
Covariate selection for optimizing balance with an innovative adaptive randomization approach11
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information10
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored10
An iterative matrix uncertainty selector for high-dimensional generalized linear models with measurement errors10
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating9
Familywise error rate control for block response-adaptive randomization9
Penalized variable selection in multi-parameter regression survival modeling9
Modeling the patient mix for risk-adjusted CUSUM charts9
Evaluating prognostic biomarkers for survival outcomes subject to informative censoring9
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease8
Modified Brier score for evaluating prediction accuracy for binary outcomes8
Smoothing Lexis diagrams using kernel functions: A contemporary approach8
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 trial8
Inference on the overlap coefficient: The binormal approach and alternatives8
Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial8
More efficient estimators of the area under the receiver operating characteristic curve in paired ranked set sampling8
Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints8
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods8
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity8
General regression methods for respondent-driven sampling data8
Adjusting for switches to multiple treatments: Should switches be handled separately or combined?8
Improving the estimation of the COVID-19 effective reproduction number using nowcasting8
Bayesian order constrained adaptive design for phase II clinical trials evaluating subgroup-specific treatment effect8
The effect of estimating prevalences on the population-wise error rate7
Causal simulation experiments: Lessons from bias amplification7
Change plane model averaging for subgroup identification7
Cause-specific hazard Cox models with partly interval censoring – Penalized likelihood estimation using Gaussian quadrature7
Testing for marginal covariate effect when the subgroup size induced by the covariate is informative7
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials7
Model-based adaptive randomization procedures for heteroscedasticity of treatment responses7
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model7
A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup7
Regression analysis of multivariate recurrent event data allowing time-varying dependence with application to stroke registry data7
A tight fit of the SIR dynamic epidemic model to daily cases of COVID-19 reported during the 2021–2022 Omicron surge in New York City: A novel approach7
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology7
Sample size calculation for multi-arm parallel design with restricted mean survival time7
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis7
Estimation and inference on the partial volume under the receiver operating characteristic surface7
Statistical methods for clinical trials interrupted by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic: A review7
Fixed and random effect selections in generalized linear mixed models6
Estimand-based inference in the presence of long-term survivors6
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data6
Hunting for protective drugs at the break of a pandemic: Causal inference from hospital data6
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?6
On recurrent-event win ratio6
CFO: Calibration-free odds design for phase I/II clinical trials6
Improved and computationally stable estimation of relative risk regression with one binary exposure6
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose6
Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure6
qTPI: A quasi-toxicity probability interval design for phase I trials with multiple-grade toxicities6
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard6
BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations6
Space-time interactions in Bayesian disease mapping with recent tools: Making things easier for practitioners6
MISL: Multiple imputation by super learning6
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study5
A new framework for semi-Markovian parametric multi-state models with interval censoring5
Survival models induced by zero-modified power series discrete frailty: Application with a melanoma data set5
Multiple imputation approaches for epoch-level accelerometer data in trials5
Mid-quantile regression for discrete responses5
A Bayesian latent class approach to causal inference with longitudinal data5
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data5
Generalized fiducial inference for the restricted mean survival time5
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study5
Semiparametric generalized estimating equations for repeated measurements in cross-over designs5
Simulation extrapolation method for measurement error: A review5
Using Bayesian evidence synthesis to quantify uncertainty in population trends in smoking behaviour5
A Weibull mixture cure frailty model for high-dimensional covariates5
Estimation in discrete time coarsened multivariate longitudinal models5
A robust variable screening procedure for ultra-high dimensional data5
Use of clinical tolerance limits for assessing agreement5
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression5
Editorial5
The “Why” behind including “Y” in your imputation model5
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data5
Using short-term endpoints to improve interim decision making and trial duration in two-stage phase II trials with nested binary endpoints5
Local linear approximation with Laplacian smoothing penalty and application in biology5
Combining multiple biomarkers linearly to minimize the Euclidean distance of the closest point on the receiver operating characteristic surface to the perfection corner in trichotomous settings5
Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data5
Bivariate copula regression models for semi-competing risks5
Sample sizes required to estimate the protective efficacy of a vaccine when there is an unequal allocation of individuals across the vaccine and placebo groups5
Unbiased and robust analysis of co-localization in super-resolution images5
A generalized epidemiological model with dynamic and asymptomatic population5
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis4
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome4
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects4
LASSO-type instrumental variable selection methods with an application to Mendelian randomization4
Distribution-free control charts for mixed-type data based on rank of interpoint distances4
MEGH: A parametric class of general hazard models for clustered survival data4
Average treatment effect on the treated, under lack of positivity4
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning4
Covariate-adjusted inference for doubly adaptive biased coin design4
Additive hazards model with time-varying coefficients and imaging predictors4
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery4
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos4
Factorial survival analysis for treatment effects under dependent censoring4
Heterogeneous treatment effect estimation for observational data using model-based forests4
Bayesian variable selection in hierarchical difference-in-differences models4
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data4
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects4
Regularization approaches in clinical biostatistics: A review of methods and their applications4
The change in estimate method for selecting confounders: A simulation study4
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis4
Data-driven clustering of infectious disease incidence into age groups4
Unified approach to optimal estimation of mean and standard deviation from sample summaries4
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis4
Variance partitioning in spatio-temporal disease mapping models4
An objective Bayesian approach to estimation in multistage experiments4
Biomarker-driven optimal designs for patient enrollment restriction4
Extended excess hazard models for spatially dependent survival data4
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis3
Graphical methods to illustrate the nature of the relation between a continuous variable and the outcome when using restricted cubic splines with a Cox proportional hazards model3
Authors’ response3
Uniformization and bounded Taylor series in Newton–Raphson method improves computational performance for a multistate transition model estimation and inference3
Novel empirical likelihood inference for the mean difference with right-censored data3
Sample size determination for adaptive crossover trial in detecting gene-drug interactions3
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study3
Isotonic design for single-arm biomarker stratified trials3
Estimating dynamic treatment regimes for ordinal outcomes with household interference: Application in household smoking cessation3
Mean corrected generalized estimating equations for longitudinal binary outcomes with report bias3
Efficient estimation of the marginal mean of recurrent events in randomized controlled trials3
Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity3
An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest3
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number3
Online control of the False Discovery Rate in group-sequential platform trials3
Weighting methods for truncation by death in cluster-randomized trials3
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials3
Efficient algorithms for survival data with multiple outcomes using the frailty model3
A natural history and copula-based joint model for regional and distant breast cancer metastasis3
Cross-validation approaches for penalized Cox regression3
Bayesian semiparametric joint modeling of a count outcome and inconveniently timed longitudinal predictors3
Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care3
Clustering functional data using forward search based on functional spatial ranks with medical applications3
Optimising error rates in programmes of pilot and definitive trials using Bayesian statistical decision theory3
Multiple imputation analysis for propensity score matching with missing causes of failure: An application to hepatocellular carcinoma data3
Youden index estimation based on group-tested data3
Improving estimation efficiency of case-cohort studies with interval-censored failure time data3
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification3
A statistical framework for planning and analysing test–retest studies of repeatability3
Variable selection for mixed panel count data under the proportional mean model3
Model detection for semiparametric accelerated failure additive model with right-censored data3
Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials3
Multivariate contaminated normal linear mixed models applied to Alzheimer’s disease study with censored and missing data3
A family of estimators to diagnostic accuracy when candidate tests are subject to detection limits—Application to diagnosing early stage Alzheimer disease3
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment3
Optimal allocation to treatments in a sequential multiple assignment randomized trial3
A Bayesian hierarchical model for the analysis of visual analogue scaling tasks3
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models3
Functional joint models for chronic kidney disease in kidney transplant recipients3
Semi-parametric testing for ordinal treatment effects in time-to-event data via dynamic Dirichlet process mixtures of the inverse-Gaussian distribution3
Multicategory matched learning for estimating optimal individualized treatment rules in observational studies with application to a hepatocellular carcinoma study3
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatment3
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis3
Integrating relative survival in multi-state models—a non-parametric approach3
Association of intracluster correlation measures with outcome prevalence for binary outcomes in cluster randomised trials3
Wilcoxon rank-sum tests to detect one-sided mixture alternatives in group sequential clinical trials3
Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials3
Shared parameter and copula models for analysis of semicontinuous longitudinal data with nonrandom dropout and informative censoring3
Bivariate joint models for survival and change of cognitive function3
Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis3
Jointly assessing multiple endpoints in pilot and feasibility studies3
Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes2
Dirichlet process mixture models for regression discontinuity designs2
A novel rare variants association test for binary traits in family-based designs via copulas2
A class of two-sample nonparametric statistics for binary and time-to-event outcomes2
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data2
Determination of correlations in multivariate count data with informative observation times2
On estimating the area under the ROC curve in ranked set sampling2
Boosting distributional copula regression for bivariate binary, discrete and mixed responses2
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction2
Variable selection using inverse probability of censoring weighting2
Nonparametric Bayesian functional selection in 1-M matched case-crossover studies2
Variable selection for a mark-specific additive hazards model using the adaptive LASSO2
Partial areas under the curve of the cumulative distribution function as a new composite estimand for randomized clinical trials2
Group sequential methods based on supremum logrank statistics under proportional and nonproportional hazards2
Refined moderation analysis with binary outcomes in precision medicine research2
Data-dependent early completion of dose-finding trials for drug-combination2
Joint regression analysis of clustered current status data with latent variables2
Propensity score weighting methods for causal subgroup analysis with time-to-event outcomes2
A model-based approach for historical borrowing, with an application to neovascular age-related macular degeneration2
Non-parametric approach for frequentist multiple imputation in survival analysis with missing covariates2
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings2
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions2
Hierarchical Bayesian bivariate spatial modeling of small area proportions with application to health survey data2
Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease2
Marginal semiparametric accelerated failure time cure model for clustered survival data2
An overview of propensity score matching methods for clustered data2
Estimating transformations for evaluating diagnostic tests with covariate adjustment2
Dealing with missing information on covariates for excess mortality hazard regression models – Making the imputation model compatible with the substantive model2
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies2
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data2
Conversion of non-inferiority margin from hazard ratio to restricted mean survival time difference using data from multiple historical trials2
The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models2
Partly linear single-index cure models with a nonparametric incidence link function2
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data2
Logistic regression with correlated measurement error and misclassification in covariates2
Assigning readers to cases in imaging studies using balanced incomplete block designs2
Matching ratio and sample size for optimal sequential testing with binomial data2
Robust regression with asymmetric loss functions2
Instrumental variable analysis with categorical treatment2
Unit information prior for incorporating real-world evidence into randomized controlled trials2
A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes2
Methods for non-proportional hazards in clinical trials: A systematic review2
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy2
On the estimation of population size—A comparison of capture-recapture and multiplier-benchmark methods2
Considerations on the region of interest in the ROC space2
Adaptive aggregation for longitudinal quantile regression based on censored history process2
A functional proportional hazard cure rate model for interval-censored data2
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics2
Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology2
Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance2
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes2
Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem1
Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes1
Flexible joint model for time-to-event and non-Gaussian longitudinal outcomes1
Estimating drug concentration–response relationships by applying causal inference methods for continuous point exposures and time-to-event outcomes1
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