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 2021-08-01 to 2025-08-01.)
ArticleCitations
Exact interval estimation for the linear combination of binomial proportions153
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data93
Omnibus test for restricted mean survival time based on influence function77
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood64
Covariate adjustment in Bayesian adaptive randomized controlled trials35
Confidence estimation based on data from independent studies34
Time-varying coefficient additive hazards model with latent variables31
Equivalence tests for ratio of means in bioequivalence studies under crossover design30
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly30
Analysis of hospital readmissions with competing risks29
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time25
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence23
Generalized Bayesian kernel machine regression22
Commentary on the use of the reproduction number R during the COVID-19 pandemic22
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 preference21
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices20
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data20
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses19
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance19
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling19
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison18
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint17
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models17
Random survival forests with multivariate longitudinal endogenous covariates16
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimming16
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance16
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors14
Nonparametric analysis of doubly truncated and interval-censored data14
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis13
Revisiting performance metrics for prediction with rare outcomes13
Inference on the overlap coefficient: The binormal approach and alternatives13
A family of Bayesian prognostic and predictive covariate-adjusted response-adaptive randomization designs13
Bayesian order constrained adaptive design for phase II clinical trials evaluating subgroup-specific treatment effect13
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 network13
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods12
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored12
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity12
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information12
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating11
Familywise error rate control for block response-adaptive randomization11
Evaluating prognostic biomarkers for survival outcomes subject to informative censoring11
Penalized variable selection in multi-parameter regression survival modeling10
Smoothing Lexis diagrams using kernel functions: A contemporary approach10
Modeling the patient mix for risk-adjusted CUSUM charts10
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease10
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 trial10
Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials10
Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial10
Quantification of the influence of risk factors with application to cardiovascular diseases in subjects with type 1 diabetes9
An iterative matrix uncertainty selector for high-dimensional generalized linear models with measurement errors9
More efficient estimators of the area under the receiver operating characteristic curve in paired ranked set sampling9
Covariate selection for optimizing balance with an innovative adaptive randomization approach9
Adjusting for switches to multiple treatments: Should switches be handled separately or combined?9
Modified Brier score for evaluating prediction accuracy for binary outcomes9
The effect of estimating prevalences on the population-wise error rate9
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis8
Change plane model averaging for subgroup identification8
Estimand-based inference in the presence of long-term survivors8
Model-based adaptive randomization procedures for heteroscedasticity of treatment responses8
Causal simulation experiments: Lessons from bias amplification8
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials8
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model8
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology8
Sample size calculation for multi-arm parallel design with restricted mean survival time8
On recurrent-event win ratio8
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose7
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
Hunting for protective drugs at the break of a pandemic: Causal inference from hospital data7
MISL: Multiple imputation by super learning7
Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure7
Regression analysis of multivariate recurrent event data allowing time-varying dependence with application to stroke registry data7
Cause-specific hazard Cox models with partly interval censoring – Penalized likelihood estimation using Gaussian quadrature7
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard7
Statistical methods for clinical trials interrupted by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic: A review7
Testing for marginal covariate effect when the subgroup size induced by the covariate is informative7
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?7
Space-time interactions in Bayesian disease mapping with recent tools: Making things easier for practitioners7
qTPI: A quasi-toxicity probability interval design for phase I trials with multiple-grade toxicities7
Improved and computationally stable estimation of relative risk regression with one binary exposure6
Using short-term endpoints to improve interim decision making and trial duration in two-stage phase II trials with nested binary endpoints6
Using Bayesian evidence synthesis to quantify uncertainty in population trends in smoking behaviour6
A generalized epidemiological model with dynamic and asymptomatic population6
Mid-quantile regression for discrete responses6
Use of clinical tolerance limits for assessing agreement6
A new framework for semi-Markovian parametric multi-state models with interval censoring6
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 settings6
BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations6
Editorial6
CFO: Calibration-free odds design for phase I/II clinical trials6
Generalized fiducial inference for the restricted mean survival time6
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data6
A Weibull mixture cure frailty model for high-dimensional covariates6
Local linear approximation with Laplacian smoothing penalty and application in biology6
Estimation and inference on the partial volume under the receiver operating characteristic surface6
Simulation extrapolation method for measurement error: A review6
Fixed and random effect selections in generalized linear mixed models6
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study6
Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data6
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data6
Multiple imputation approaches for epoch-level accelerometer data in trials6
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data6
Estimation in discrete time coarsened multivariate longitudinal models6
A Bayesian latent class approach to causal inference with longitudinal data6
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis5
Heterogeneous treatment effect estimation for observational data using model-based forests5
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study5
Bayesian variable selection in hierarchical difference-in-differences models5
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects5
Unified approach to optimal estimation of mean and standard deviation from sample summaries5
Average treatment effect on the treated, under lack of positivity5
Distribution-free control charts for mixed-type data based on rank of interpoint distances5
MEGH: A parametric class of general hazard models for clustered survival data5
Bivariate copula regression models for semi-competing risks5
Health utility adjusted survival: A composite endpoint for clinical trial designs5
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression5
Variance partitioning in spatio-temporal disease mapping models5
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
Additive hazards model with time-varying coefficients and imaging predictors5
Factorial survival analysis for treatment effects under dependent censoring5
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome5
The change in estimate method for selecting confounders: A simulation study5
The “Why” behind including “Y” in your imputation model5
Semiparametric generalized estimating equations for repeated measurements in cross-over designs5
Using circulating tumor DNA as a novel biomarker of efficacy for dose-finding designs in oncology5
Unbiased and robust analysis of co-localization in super-resolution images5
Data-driven clustering of infectious disease incidence into age groups5
Group sequential analysis of marked point processes: Plasma donation trials5
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data5
An objective Bayesian approach to estimation in multistage experiments5
Bivariate joint models for survival and change of cognitive function4
Clustering functional data using forward search based on functional spatial ranks with medical applications4
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos4
Regularization approaches in clinical biostatistics: A review of methods and their applications4
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification4
Biomarker-driven optimal designs for patient enrollment restriction4
Isotonic design for single-arm biomarker stratified trials4
Jointly assessing multiple endpoints in pilot and feasibility studies4
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 model4
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects4
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis4
Extended excess hazard models for spatially dependent survival data4
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning4
Strategies to boost statistical efficiency in randomized oncology trials with primary time-to-event endpoints4
Model detection for semiparametric accelerated failure additive model with right-censored data4
Efficient algorithms for survival data with multiple outcomes using the frailty model4
Sample size determination for adaptive crossover trial in detecting gene-drug interactions4
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis4
LASSO-type instrumental variable selection methods with an application to Mendelian randomization4
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment4
Covariate-adjusted inference for doubly adaptive biased coin design4
Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials4
Wilcoxon rank-sum tests to detect one-sided mixture alternatives in group sequential clinical trials3
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis3
A natural history and copula-based joint model for regional and distant breast cancer metastasis3
Paired count regressions for modeling the number of doctor consultations and non-prescribed drugs intake3
Authors’ response3
Cross-validation approaches for penalized Cox regression3
Improving estimation efficiency of case-cohort studies with interval-censored failure time data3
Considerations on the region of interest in the ROC space3
Weighting methods for truncation by death in cluster-randomized trials3
Adaptive aggregation for longitudinal quantile regression based on censored history process3
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatment3
Bayesian semiparametric joint modeling of a count outcome and inconveniently timed longitudinal predictors3
Efficient estimation of the marginal mean of recurrent events in randomized controlled trials3
A Bayesian hierarchical model for the analysis of visual analogue scaling tasks3
Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials3
Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care3
Online control of the False Discovery Rate in group-sequential platform trials3
Uniformization and bounded Taylor series in Newton–Raphson method improves computational performance for a multistate transition model estimation and inference3
Optimal allocation to treatments in a sequential multiple assignment randomized trial3
An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest3
Multiple imputation analysis for propensity score matching with missing causes of failure: An application to hepatocellular carcinoma data3
Nonparametric Bayesian functional selection in 1-M matched case-crossover studies3
Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis3
Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity3
Estimating dynamic treatment regimes for ordinal outcomes with household interference: Application in household smoking cessation3
Variable selection for mixed panel count data under the proportional mean model3
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials3
Multicategory matched learning for estimating optimal individualized treatment rules in observational studies with application to a hepatocellular carcinoma study3
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models3
Semi-parametric testing for ordinal treatment effects in time-to-event data via dynamic Dirichlet process mixtures of the inverse-Gaussian distribution3
Optimising error rates in programmes of pilot and definitive trials using Bayesian statistical decision theory3
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number3
Mean corrected generalized estimating equations for longitudinal binary outcomes with report bias3
Novel empirical likelihood inference for the mean difference with right-censored data3
Integrating relative survival in multi-state models—a non-parametric approach3
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies3
Multivariate contaminated normal linear mixed models applied to Alzheimer’s disease study with censored and missing data3
A statistical framework for planning and analysing test–retest studies of repeatability3
Youden index estimation based on group-tested data3
Determination of correlations in multivariate count data with informative observation times2
Cure models with adaptive activation for modeling cancer survival2
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data2
The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models2
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction2
Partly linear single-index cure models with a nonparametric incidence link function2
Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints on different scales2
An overview of propensity score matching methods for clustered data2
Dirichlet process mixture models for regression discontinuity designs2
Variable selection using inverse probability of censoring weighting2
Penalized estimation for varying coefficient additive hazards models2
Hierarchical Bayesian bivariate spatial modeling of small area proportions with application to health survey data2
Boosting distributional copula regression for bivariate binary, discrete and mixed responses2
A functional proportional hazard cure rate model for interval-censored data2
Matching ratio and sample size for optimal sequential testing with binomial data2
Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders2
Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes2
Assigning readers to cases in imaging studies using balanced incomplete block designs2
Conversion of non-inferiority margin from hazard ratio to restricted mean survival time difference using data from multiple historical trials2
Doubly-robust estimator of the difference in restricted mean times lost with competing risks data2
Refined moderation analysis with binary outcomes in precision medicine research2
Saddlepoint approximation p-values of weighted log-rank tests based on censored clustered data under block Efron’s biased-coin design2
Dealing with missing information on covariates for excess mortality hazard regression models – Making the imputation model compatible with the substantive model2
Methods for non-proportional hazards in clinical trials: A systematic review2
Group sequential methods based on supremum logrank statistics under proportional and nonproportional hazards2
Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance2
Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease2
On estimating the area under the ROC curve in ranked set sampling2
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes2
On the estimation of population size—A comparison of capture-recapture and multiplier-benchmark methods2
Estimating transformations for evaluating diagnostic tests with covariate adjustment2
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions2
Joint regression analysis of clustered current status data with latent variables2
Stopping rules for phase I clinical trials with dose expansion cohorts2
A model-based approach for historical borrowing, with an application to neovascular age-related macular degeneration2
Point estimation of the 100p percent lethal dose using a novel penalised likelihood approach2
Unit information prior for incorporating real-world evidence into randomized controlled trials2
Model-based approach for two-stage group sequential or adaptive designs in bioequivalence studies using parallel and crossover designs2
Marginal semiparametric accelerated failure time cure model for clustered survival data2
Propensity score weighting methods for causal subgroup analysis with time-to-event outcomes2
Logistic regression with correlated measurement error and misclassification in covariates2
Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology2
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy2
A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes2
Partial areas under the curve of the cumulative distribution function as a new composite estimand for randomized clinical trials2
Response adaptive randomisation in clinical trials: Current practice, gaps and future directions2
Two-stage subsampling variable selection for sparse high-dimensional generalized linear models2
Shared parameter and copula models for analysis of semicontinuous longitudinal data with nonrandom dropout and informative censoring2
Data-dependent early completion of dose-finding trials for drug-combination2
A family of estimators to diagnostic accuracy when candidate tests are subject to detection limits—Application to diagnosing early stage Alzheimer disease2
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data2
A class of two-sample nonparametric statistics for binary and time-to-event outcomes2
A novel rare variants association test for binary traits in family-based designs via copulas2
A survival mediation model with Bayesian model averaging2
Instrumental variable analysis with categorical treatment2
A novel power prior approach for borrowing historical control data in clinical trials2
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics2
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data2
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed1
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