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 2021-07-01 to 2025-07-01.)
ArticleCitations
Exact interval estimation for the linear combination of binomial proportions145
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data83
Omnibus test for restricted mean survival time based on influence function73
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood63
Covariate adjustment in Bayesian adaptive randomized controlled trials35
Confidence estimation based on data from independent studies34
Time-varying coefficient additive hazards model with latent variables30
Equivalence tests for ratio of means in bioequivalence studies under crossover design29
Analysis of hospital readmissions with competing risks28
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly28
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence25
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time23
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families22
Commentary on the use of the reproduction number R during the COVID-19 pandemic22
Generalized Bayesian kernel machine regression21
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 preference20
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices19
Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines19
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data19
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses18
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison17
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance17
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors16
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models16
Nonparametric analysis of doubly truncated and interval-censored data16
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling16
Revisiting performance metrics for prediction with rare outcomes14
A family of Bayesian prognostic and predictive covariate-adjusted response-adaptive randomization designs13
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimming13
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint13
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance12
Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials12
Random survival forests with multivariate longitudinal endogenous covariates12
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 network12
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored11
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity11
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information11
Inference on the overlap coefficient: The binormal approach and alternatives11
Familywise error rate control for block response-adaptive randomization11
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis11
Bayesian order constrained adaptive design for phase II clinical trials evaluating subgroup-specific treatment effect11
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating11
Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial10
Evaluating prognostic biomarkers for survival outcomes subject to informative censoring10
Smoothing Lexis diagrams using kernel functions: A contemporary approach10
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
Covariate selection for optimizing balance with an innovative adaptive randomization approach9
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
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods9
General regression methods for respondent-driven sampling data9
Modeling the patient mix for risk-adjusted CUSUM charts9
Adjusting for switches to multiple treatments: Should switches be handled separately or combined?8
Penalized variable selection in multi-parameter regression survival modeling8
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology8
Modified Brier score for evaluating prediction accuracy for binary outcomes8
The effect of estimating prevalences on the population-wise error rate8
Causal simulation experiments: Lessons from bias amplification8
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model8
More efficient estimators of the area under the receiver operating characteristic curve in paired ranked set sampling8
Model-based adaptive randomization procedures for heteroscedasticity of treatment responses8
Sample size calculation for multi-arm parallel design with restricted mean survival time8
Testing for marginal covariate effect when the subgroup size induced by the covariate is informative7
MISL: Multiple imputation by super learning7
Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure7
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose7
Change plane model averaging for subgroup identification7
Cause-specific hazard Cox models with partly interval censoring – Penalized likelihood estimation using Gaussian quadrature7
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
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?7
On recurrent-event win ratio7
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
Hunting for protective drugs at the break of a pandemic: Causal inference from hospital data7
Space-time interactions in Bayesian disease mapping with recent tools: Making things easier for practitioners7
Estimation and inference on the partial volume under the receiver operating characteristic surface7
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis7
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials7
CFO: Calibration-free odds design for phase I/II clinical trials6
BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations6
Improved and computationally stable estimation of relative risk regression with one binary exposure6
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
A Weibull mixture cure frailty model for high-dimensional covariates6
Mid-quantile regression for discrete responses6
Local linear approximation with Laplacian smoothing penalty and application in biology6
Fixed and random effect selections in generalized linear mixed models6
Estimand-based inference in the presence of long-term survivors6
Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data6
Use of clinical tolerance limits for assessing agreement6
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data6
Using Bayesian evidence synthesis to quantify uncertainty in population trends in smoking behaviour6
Using short-term endpoints to improve interim decision making and trial duration in two-stage phase II trials with nested binary endpoints6
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
Statistical methods for clinical trials interrupted by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic: A review6
Estimation in discrete time coarsened multivariate longitudinal models6
A Bayesian latent class approach to causal inference with longitudinal data6
Multiple imputation approaches for epoch-level accelerometer data in trials6
A new framework for semi-Markovian parametric multi-state models with interval censoring6
Data-driven clustering of infectious disease incidence into age groups5
Average treatment effect on the treated, under lack of positivity5
Bivariate copula regression models for semi-competing risks5
Semiparametric generalized estimating equations for repeated measurements in cross-over designs5
Heterogeneous treatment effect estimation for observational data using model-based forests5
Editorial5
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data5
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study5
Distribution-free control charts for mixed-type data based on rank of interpoint distances5
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data5
Simulation extrapolation method for measurement error: A review5
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos5
LASSO-type instrumental variable selection methods with an application to Mendelian randomization5
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study5
Unbiased and robust analysis of co-localization in super-resolution images5
The “Why” behind including “Y” in your imputation model5
A generalized epidemiological model with dynamic and asymptomatic population5
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression5
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects5
Regularization approaches in clinical biostatistics: A review of methods and their applications5
Additive hazards model with time-varying coefficients and imaging predictors5
MEGH: A parametric class of general hazard models for clustered survival data5
Unified approach to optimal estimation of mean and standard deviation from sample summaries5
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
Generalized fiducial inference for the restricted mean survival time5
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data5
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis5
Bayesian variable selection in hierarchical difference-in-differences models5
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome5
An objective Bayesian approach to estimation in multistage experiments5
Model detection for semiparametric accelerated failure additive model with right-censored data4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment4
Sample size determination for adaptive crossover trial in detecting gene-drug interactions4
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
Biomarker-driven optimal designs for patient enrollment restriction4
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification4
Covariate-adjusted inference for doubly adaptive biased coin design4
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
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis4
Clustering functional data using forward search based on functional spatial ranks with medical applications4
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery4
Factorial survival analysis for treatment effects under dependent censoring4
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning4
Youden index estimation based on group-tested data4
Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials4
Strategies to boost statistical efficiency in randomized oncology trials with primary time-to-event endpoints4
Isotonic design for single-arm biomarker stratified trials4
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis4
Bivariate joint models for survival and change of cognitive function4
The change in estimate method for selecting confounders: A simulation study4
Efficient algorithms for survival data with multiple outcomes using the frailty model4
Jointly assessing multiple endpoints in pilot and feasibility studies4
Efficient estimation of the marginal mean of recurrent events in randomized controlled trials4
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