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 2021-06-01 to 2025-06-01.)

Article	Citations
Exact interval estimation for the linear combination of binomial proportions	135
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data	75
Omnibus test for restricted mean survival time based on influence function	67
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood	59
Covariate adjustment in Bayesian adaptive randomized controlled trials	33
Confidence estimation based on data from independent studies	32
Time-varying coefficient additive hazards model with latent variables	28
Analysis of hospital readmissions with competing risks	28
Equivalence tests for ratio of means in bioequivalence studies under crossover design	28
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly	27
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence	25
Commentary on the use of the reproduction number R during the COVID-19 pandemic	22
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time	22
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families	21
Generalized Bayesian kernel machine regression	20
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	19
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data	19
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices	18
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-inflammatory	18
Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines	18
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison	16
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance	16
Revisiting performance metrics for prediction with rare outcomes	16
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models	15
Random survival forests with multivariate longitudinal endogenous covariates	15

Nonparametric analysis of doubly truncated and interval-censored data	14
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling	14
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance	13
Correlational analyses of biomarkers that are harmonized through a bridging study due to measurement errors	13
Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses	13
A family of Bayesian prognostic and predictive covariate-adjusted response-adaptive randomization designs	12
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimming	12
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	12
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored	11
Familywise error rate control for block response-adaptive randomization	11
Quantifying proportion of treatment effect by surrogate endpoint under heterogeneity	11
Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating	11
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint	11
Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials	11
A unified approach based on multidimensional scaling for calibration estimation in survey sampling with qualitative auxiliary information	11
Penalized variable selection in multi-parameter regression survival modeling	10
Evaluating prognostic biomarkers for survival outcomes subject to informative censoring	10
Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints	10
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease	9
Inference on the overlap coefficient: The binormal approach and alternatives	9
Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial	9
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 trial	9
Smoothing Lexis diagrams using kernel functions: A contemporary approach	9
Modified Brier score for evaluating prediction accuracy for binary outcomes	8
Covariate selection for optimizing balance with an innovative adaptive randomization approach	8
More efficient estimators of the area under the receiver operating characteristic curve in paired ranked set sampling	8
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods	8
General regression methods for respondent-driven sampling data	8
An iterative matrix uncertainty selector for high-dimensional generalized linear models with measurement errors	8
Adjusting for switches to multiple treatments: Should switches be handled separately or combined?	8
Bayesian order constrained adaptive design for phase II clinical trials evaluating subgroup-specific treatment effect	8
Quantification of the influence of risk factors with application to cardiovascular diseases in subjects with type 1 diabetes	8
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis	8
The effect of estimating prevalences on the population-wise error rate	8
Modeling the patient mix for risk-adjusted CUSUM charts	8
Sample size calculation for multi-arm parallel design with restricted mean survival time	7
Change plane model averaging for subgroup identification	7
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials	7
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 approach	7
Hunting for protective drugs at the break of a pandemic: Causal inference from hospital data	7
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?	7
A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup	7
Causal simulation experiments: Lessons from bias amplification	7
Model-based adaptive randomization procedures for heteroscedasticity of treatment responses	7
Cause-specific hazard Cox models with partly interval censoring – Penalized likelihood estimation using Gaussian quadrature	7
Statistical methods for clinical trials interrupted by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic: A review	7
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose	7
Regression analysis of multivariate recurrent event data allowing time-varying dependence with application to stroke registry data	7
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model	7
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology	7

Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis	7
Testing for marginal covariate effect when the subgroup size induced by the covariate is informative	7
Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure	7
MISL: Multiple imputation by super learning	7
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 settings	6
Local linear approximation with Laplacian smoothing penalty and application in biology	6
Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data	6
Space-time interactions in Bayesian disease mapping with recent tools: Making things easier for practitioners	6
CFO: Calibration-free odds design for phase I/II clinical trials	6
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard	6
Estimation and inference on the partial volume under the receiver operating characteristic surface	6
Estimation in discrete time coarsened multivariate longitudinal models	6
A new framework for semi-Markovian parametric multi-state models with interval censoring	6
On recurrent-event win ratio	6
qTPI: A quasi-toxicity probability interval design for phase I trials with multiple-grade toxicities	6
BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations	6
Mid-quantile regression for discrete responses	6
A Bayesian latent class approach to causal inference with longitudinal data	6
Using short-term endpoints to improve interim decision making and trial duration in two-stage phase II trials with nested binary endpoints	6
Fixed and random effect selections in generalized linear mixed models	6
Estimand-based inference in the presence of long-term survivors	6
Improved and computationally stable estimation of relative risk regression with one binary exposure	6
Unified approach to optimal estimation of mean and standard deviation from sample summaries	5
Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects	5
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study	5
Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression	5
Comparison of statistical methods for the analysis of patient-reported outcomes in randomised controlled trials: A simulation study	5
Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data	5
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data	5
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	5
Simulation extrapolation method for measurement error: A review	5
Average treatment effect on the treated, under lack of positivity	5
Factorial survival analysis for treatment effects under dependent censoring	5
The “Why” behind including “Y” in your imputation model	5
Semiparametric generalized estimating equations for repeated measurements in cross-over designs	5
Generalized fiducial inference for the restricted mean survival time	5
A generalized epidemiological model with dynamic and asymptomatic population	5
Use of clinical tolerance limits for assessing agreement	5
Using Bayesian evidence synthesis to quantify uncertainty in population trends in smoking behaviour	5
Variance partitioning in spatio-temporal disease mapping models	5
Unbiased and robust analysis of co-localization in super-resolution images	5
LASSO-type instrumental variable selection methods with an application to Mendelian randomization	5
Bayesian variable selection in hierarchical difference-in-differences models	5
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis	5
Bivariate copula regression models for semi-competing risks	5
Editorial	5
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data	5
Heterogeneous treatment effect estimation for observational data using model-based forests	5
Multiple imputation approaches for epoch-level accelerometer data in trials	5
A Weibull mixture cure frailty model for high-dimensional covariates	5
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects	4
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification	4
Isotonic design for single-arm biomarker stratified trials	4
Bivariate joint models for survival and change of cognitive function	4
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 model	4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment	4
Extended excess hazard models for spatially dependent survival data	4
Distribution-free control charts for mixed-type data based on rank of interpoint distances	4
An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome	4
An objective Bayesian approach to estimation in multistage experiments	4
Data-driven clustering of infectious disease incidence into age groups	4
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study	4
Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials	4
Covariate-adjusted inference for doubly adaptive biased coin design	4
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning	4
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis	4
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery	4
Regularization approaches in clinical biostatistics: A review of methods and their applications	4
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis	4
A new measure to quantify sedentary behavior using accelerometer data: Application to the Hispanic Community Health Study/Study of Latinos	4
Divided-and-combined omnibus test for genetic association analysis with high-dimensional data	4
Clustering functional data using forward search based on functional spatial ranks with medical applications	4
Model detection for semiparametric accelerated failure additive model with right-censored data	4
Biomarker-driven optimal designs for patient enrollment restriction	4
Efficient algorithms for survival data with multiple outcomes using the frailty model	4
Sample size determination for adaptive crossover trial in detecting gene-drug interactions	4
The change in estimate method for selecting confounders: A simulation study	4
Comparisons of various estimates of the I2 statistic for quantifying between-study heterogeneity in meta-analysis	4
Additive hazards model with time-varying coefficients and imaging predictors	4
MEGH: A parametric class of general hazard models for clustered survival data	4