OOIR: Observatory of International 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 2021-03-01 to 2025-03-01.)

Article	Citations
A novel rare variants association test for binary traits in family-based designs via copulas	91
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) 523–534	62
Standardization of continuous and categorical covariates in sparse penalized regressions	55
Covariate adjustment in Bayesian adaptive randomized controlled trials	50
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.	44
Logistic regression with correlated measurement error and misclassification in covariates	32
Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes	29
Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data	25
The staircase cluster randomised trial design: A pragmatic alternative to the stepped wedge	25
Regression analysis of a future state entry time distribution conditional on a past state occupation in a progressive multistate model	24
Clustering minimal inhibitory concentration data through Bayesian mixture models: An application to detect Mycobacterium tuberculosis resistance mutations	23
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis	22
Unbiased and robust analysis of co-localization in super-resolution images	19
Evaluating Bayesian adaptive randomization procedures with adaptive clip methods for multi-arm trials	18
Optimal study designs for cluster randomised trials: An overview of methods and results	17
Statistical methods for analysis of combined biomarker data from multiple nested case–control studies	17
Semiparametric generalized estimating equations for repeated measurements in cross-over designs	17
A general consonance principle for closure tests based on p-values	17
A novel model-checking approach for dose-response relationships	17
Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes	16
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly	16
Using dichotomized survival data to construct a prior distribution for a Bayesian seamless Phase II/III clinical trial	15
Analysis of hospital readmissions with competing risks	15
Exact interval estimation for the linear combination of binomial proportions	15
Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions	14

Estimating target population treatment effects in meta-analysis with individual participant-level data	14
Accounting for regression to the mean under the bivariate t-distribution	13
Equivalence tests for ratio of means in bioequivalence studies under crossover design	13
Heterogeneous treatment effect estimation for observational data using model-based forests	12
Variance partitioning in spatio-temporal disease mapping models	12
Point estimation following a two-stage group sequential trial	12
Sample sizes required to estimate the protective efficacy of a vaccine when there is an unequal allocation of individuals across the vaccine and placebo groups	11
A model-based approach for historical borrowing, with an application to neovascular age-related macular degeneration	11
A unified approach to power and sample size determination for log-rank tests under proportional and nonproportional hazards	11
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data	11
Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time	11
Matching ratio and sample size for optimal sequential testing with binomial data	11
Time-varying coefficient additive hazards model with latent variables	10
Impact of unequal censoring and insufficient follow-up on comparing survival outcomes: Applications to clinical studies	10
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19	10
Variance estimation for the average treatment effects on the treated and on the controls	9
Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance	9
Joint regression analysis of clustered current status data with latent variables	9
Generalized fiducial inference for the restricted mean survival time	8
Partly linear single-index cure models with a nonparametric incidence link function	8
A latent class linear mixed model for monotonic continuous processes measured with error	8
Simulation extrapolation method for measurement error: A review	8
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data	8
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings	8
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study	8
Editorial	8
Goodness-of-fit tests for modified Poisson regression possibly producing fitted values exceeding one in binary outcome analysis	8
Regression analysis of longitudinal data with random change point	8
Robust integration of secondary outcomes information into primary outcome analysis in the presence of missing data	7
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations	7
Model-based optimal randomization procedure for treatment–covariate interaction tests	7
Demystifying estimands in cluster-randomised trials	7
A generalized epidemiological model with dynamic and asymptomatic population	7
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study	7
Instrumental variable analysis with categorical treatment	7
Omnibus test for restricted mean survival time based on influence function	7
Confidence estimation based on data from independent studies	7
Estimating drug concentration–response relationships by applying causal inference methods for continuous point exposures and time-to-event outcomes	7
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data	7
Bivariate copula regression models for semi-competing risks	6
Design and analysis of factorial clinical trials: The impact of one treatment's effectiveness on the statistical power and required sample size of the other	6
Refined moderation analysis with binary outcomes in precision medicine research	6
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data	6
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time	6
A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes	6
Comparison between inverse-probability weighting and multiple imputation in Cox model with missing failure subtype	6
Commentary on the use of the reproduction number R during the COVID-19 pandemic	6
The “Why” behind including “Y” in your imputation model	6
Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem	6
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression	6

Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood	6
Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis	6
Non-parametric treatment time-lag effect estimation	6
Weighted reverse counting process (WRCP): A novel approach to quantify the overall treatment effect with multiple time-to-event outcomes by adaptive weighting	6
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data	6
Design and analysis of partially randomized preference trials with propensity score stratification	6
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts	6
l₂-Penalized temporal logit-mixed models for the estimation of regional obesity prevalence over time	5
A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes	5
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence	5
Dynamic survival analysis: Modelling the hazard function via ordinary differential equations	5
Multiple imputation with missing data indicators	5
Approximate Bayesian computation design for phase I clinical trials	5
Model-free screening for variables with treatment interaction	5
A Bayesian quasi-likelihood design for identifying the minimum effective dose and maximum utility dose in dose-ranging studies	5
The change in estimate method for selecting confounders: A simulation study	5
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction	5
Random survival forests with multivariate longitudinal endogenous covariates	5
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance	5
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed	5
Simulation models for aggregated data meta-analysis: Evaluation of pooling effect sizes and publication biases	5
Optimal sampling allocation for outcome-dependent designs in cluster-correlated data settings	5
A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data	5
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families	5
Glucodensities: A new representation of glucose profiles using distributional data analysis	5
A functional proportional hazard cure rate model for interval-censored data	5
Detecting the skewness of data from the five-number summary and its application in meta-analysis	5
Goodness-of-fit tests for a logistic regression model with missing covariates	5
Promising zone two-stage design for a single-arm study with binary outcome	5
Weighted functional linear Cox regression model	5
Regularization approaches in clinical biostatistics: A review of methods and their applications	5
Use of clinical tolerance limits for assessing agreement	5
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators	5
Improved semi-parametric inference for a mixture model of responses from a control versus treatment group trial	5
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos	5
Joint modeling of zero-inflated longitudinal measurements and time-to-event outcomes with applications to dynamic prediction	5
Improving transportability of randomized controlled trial inference using robust prediction methods	5
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors	5
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 network	5
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study	5
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, 2008	4
Data-driven clustering of infectious disease incidence into age groups	4
Risk difference tests for stratified binary data under Dallal’s model	4
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models	4
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects	4
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome	4
Additive hazards model with time-varying coefficients and imaging predictors	4
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics	4
Reducing the false discovery rate of preclinical animal research with Bayesian statistical decision criteria	4
Nonparametric analysis of doubly truncated and interval-censored data	4
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices	4
Long-term Dagum-power variance function frailty regression model: Application in health studies	4
Repeated measures discriminant analysis using multivariate generalized estimation equations	4
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy	4
Estimation of covariate effects on net survivals in the relative survival progressive illness-death model	4
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 preference	4
Role of calibration in uncertainty-based referral for deep learning	4
Weighted mean difference statistics for paired data in the presence of missing values	4
Using a centered general linear model for detection of interactions among biomarkers	4
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory	4
Distribution-free control charts for mixed-type data based on rank of interpoint distances	4
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis	4
MEGH: A parametric class of general hazard models for clustered survival data	4
An additive-multiplicative model for longitudinal data with informative observation times	4
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects	4
A structured iterative division approach for non-sparse regression models and applications in biological data analysis	4
Average treatment effect on the treated, under lack of positivity	4