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 2021-12-01 to 2025-12-01.)
ArticleCitations
Covariate adjustment in Bayesian adaptive randomized controlled trials194
Time-varying coefficient additive hazards model with latent variables117
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood44
Exact interval estimation for the linear combination of binomial proportions36
Confidence estimation based on data from independent studies35
Equivalence tests for ratio of means in bioequivalence studies under crossover design31
Implementing response-adaptive designs when responses are missing: Impute or ignore?30
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time27
Omnibus test for restricted mean survival time based on influence function25
Analysis of hospital readmissions with competing risks24
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data21
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence21
Investigations of sharp bounds for causal effects under selection bias20
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly19
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices18
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance18
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data18
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint17
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimming17
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses16
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison16
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling15
A family of Bayesian prognostic and predictive covariate-adjusted response-adaptive randomization designs14
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models13
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors13
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
Random survival forests with multivariate longitudinal endogenous covariates12
An iterative matrix uncertainty selector for high-dimensional generalized linear models with measurement errors12
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 preference12
Nonparametric analysis of doubly truncated and interval-censored data12
Generalized Bayesian kernel machine regression12
Bayesian order constrained adaptive design for phase II clinical trials evaluating subgroup-specific treatment effect12
Competing risks models with two time scales11
Covariate selection for optimizing balance with an innovative adaptive randomization approach11
Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials11
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods10
Modeling the patient mix for risk-adjusted CUSUM charts10
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
Familywise error rate control for block response-adaptive randomization10
Smoothing Lexis diagrams using kernel functions: A contemporary approach10
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information10
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating10
Quantification of the influence of risk factors with application to cardiovascular diseases in subjects with type 1 diabetes10
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity9
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology9
Modified Brier score for evaluating prediction accuracy for binary outcomes9
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease9
Penalized variable selection in multi-parameter regression survival modeling9
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 trial9
Adjusting for switches to multiple treatments: Should switches be handled separately or combined?8
Model-based adaptive randomization procedures for heteroscedasticity of treatment responses8
Sample size calculation for multi-arm parallel design with restricted mean survival time8
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?8
The effect of estimating prevalences on the population-wise error rate8
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis8
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model8
Hunting for protective drugs at the break of a pandemic: Causal inference from hospital data8
More efficient estimators of the area under the receiver operating characteristic curve in paired ranked set sampling8
Change plane model averaging for subgroup identification8
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose8
Adaptive sample size re-estimation designs for a two-stage randomized trial with binary outcome8
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials7
CFO: Calibration-free odds design for phase I/II clinical trials7
Statistical methods for clinical trials interrupted by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic: A review7
Estimand-based inference in the presence of long-term survivors7
qTPI: A quasi-toxicity probability interval design for phase I trials with multiple-grade toxicities7
Space-time interactions in Bayesian disease mapping with recent tools: Making things easier for practitioners7
BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations7
Estimation and inference on the partial volume under the receiver operating characteristic surface7
Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure7
Testing for marginal covariate effect when the subgroup size induced by the covariate is informative7
MISL: Multiple imputation by super learning7
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
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 generalized epidemiological model with dynamic and asymptomatic population6
Improved and computationally stable estimation of relative risk regression with one binary exposure6
Estimation in discrete time coarsened multivariate longitudinal models6
Using short-term endpoints to improve interim decision making and trial duration in two-stage phase II trials with nested binary endpoints6
Sample sizes required to estimate the protective efficacy of a vaccine when there is an unequal allocation of individuals across the vaccine and placebo groups6
On recurrent-event win ratio6
Using circulating tumor DNA as a novel biomarker of efficacy for dose-finding designs in oncology6
Use of clinical tolerance limits for assessing agreement6
A Bayesian latent class approach to causal inference with longitudinal data6
Fixed and random effect selections in generalized linear mixed models6
A Weibull mixture cure frailty model for high-dimensional covariates6
Using Bayesian evidence synthesis to quantify uncertainty in population trends in smoking behaviour6
Editorial6
Generalized fiducial inference for the restricted mean survival time6
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data6
Mid-quantile regression for discrete responses6
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
Local linear approximation with Laplacian smoothing penalty and application in biology6
Multiple imputation approaches for epoch-level accelerometer data in trials6
A new framework for semi-Markovian parametric multi-state models with interval censoring6
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study6
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data6
Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data6
Heterogeneous treatment effect estimation for observational data using model-based forests5
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data5
MEGH: A parametric class of general hazard models for clustered survival data5
Unbiased and robust analysis of co-localization in super-resolution images5
Distribution-free control charts for mixed-type data based on rank of interpoint distances5
Regularization approaches in clinical biostatistics: A review of methods and their applications5
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis5
Data-driven clustering of infectious disease incidence into age groups5
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data5
The “Why” behind including “Y” in your imputation model5
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study5
Augmented two-stage estimation for treatment switching in oncology trials: Leveraging external data for improved precision5
Semiparametric generalized estimating equations for repeated measurements in cross-over designs5
Simulation extrapolation method for measurement error: A review5
LASSO-type instrumental variable selection methods with an application to Mendelian randomization5
Unified approach to optimal estimation of mean and standard deviation from sample summaries5
Bivariate joint models for survival and change of cognitive function5
Group sequential analysis of marked point processes: Plasma donation trials5
Factorial survival analysis for treatment effects under dependent censoring5
Health utility adjusted survival: A composite endpoint for clinical trial designs5
Bivariate copula regression models for semi-competing risks5
Variance partitioning in spatio-temporal disease mapping models5
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression5
Additive hazards model with time-varying coefficients and imaging predictors5
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects5
Average treatment effect on the treated, under lack of positivity5
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects5
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
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment4
Efficient algorithms for survival data with multiple outcomes using the frailty model4
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis4
Extended excess hazard models for spatially dependent survival data4
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification4
Estimating dynamic treatment regimes for ordinal outcomes with household interference: Application in household smoking cessation4
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
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
Covariate-adjusted inference for doubly adaptive biased coin design4
Using inverse probability of censoring weighting to estimate hypothetical estimands in clinical trials: Should we implement stabilisation, and if so how?4
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatment4
Paired count regressions for modeling the number of doctor consultations and non-prescribed drugs intake4
Jointly assessing multiple endpoints in pilot and feasibility studies4
Model detection for semiparametric accelerated failure additive model with right-censored data4
Sample size determination for adaptive crossover trial in detecting gene-drug interactions4
Biomarker-driven optimal designs for patient enrollment restriction4
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis4
Efficient estimation of the marginal mean of recurrent events in randomized controlled trials4
Informative simultaneous confidence intervals for graphical test procedures4
Semi-parametric testing for ordinal treatment effects in time-to-event data via dynamic Dirichlet process mixtures of the inverse-Gaussian distribution4
Optimising error rates in programmes of pilot and definitive trials using Bayesian statistical decision theory4
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