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 2020-09-01 to 2024-09-01.)

Article	Citations
Detecting the skewness of data from the five-number summary and its application in meta-analysis	51
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis	42
Multiple imputation with missing data indicators	39
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting	36
Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study	36
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression	35
Small sample sizes: A big data problem in high-dimensional data analysis	33
Estimation of required sample size for external validation of risk models for binary outcomes	31
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials	27
Sample size and sample composition for constructing growth reference centiles	27
Spatial scan statistics can be dangerous	24
Commentary on the use of the reproduction number R during the COVID-19 pandemic	23
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number	20
Adjusting for selection bias due to missing data in electronic health records-based research	19
A Bayesian dose–response meta-analysis model: A simulations study and application	17
Glucodensities: A new representation of glucose profiles using distributional data analysis	17
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators	17
Revisiting performance metrics for prediction with rare outcomes	16
Propensity score analysis methods with balancing constraints: A Monte Carlo study	15
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK	15
Reference range: Which statistical intervals to use?	15
The change in estimate method for selecting confounders: A simulation study	15
On recurrent-event win ratio	14
Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics	14
Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome	14

Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance	14
Standard error estimation in meta-analysis of studies reporting medians	13
Methods for modelling excess mortality across England during the COVID-19 pandemic	13
Inferring risks of coronavirus transmission from community household data	13
Meta-analysis of the severe acute respiratory syndrome coronavirus 2 serial intervals and the impact of parameter uncertainty on the coronavirus disease 2019 reproduction number	13
G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting	12
General regression methods for respondent-driven sampling data	12
On estimating the area under the ROC curve in ranked set sampling	11
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data	11
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study	11
Online control of the familywise error rate	10
Analysing body composition as compositional data: An exploration of the relationship between body composition, body mass and bone strength	10
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning	10
Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large	10
An overview of propensity score matching methods for clustered data	10
Mediation analysis for mixture Cox proportional hazards cure models	10
Modified Brier score for evaluating prediction accuracy for binary outcomes	10
Regularization approaches in clinical biostatistics: A review of methods and their applications	10
Deselection of base-learners for statistical boosting—with an application to distributional regression	10
Variable selection for causal mediation analysis using LASSO-based methods	10
Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data	10
Statistical design considerations for trials that study multiple indications	9
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study	9
Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis	9
A family of Gamma-generated distributions: Statistical properties and applications	9
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard	9
Inferring median survival differences in general factorial designs via permutation tests	9
Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters	9
Change point detection in Cox proportional hazards mixture cure model	9
Online control of the False Discovery Rate in group-sequential platform trials	9
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods	9
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19	9
An adaptive seamless Phase 2-3 design with multiple endpoints	8
Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication	8
Two-phase analysis and study design for survival models with error-prone exposures	8
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials	8
Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data	8
Sample sizes for cluster-randomised trials with continuous outcomes: Accounting for uncertainty in a single intra-cluster correlation estimate	8
Improving convergence in growth mixture models without covariance structure constraints	8
Improving the estimation of the COVID-19 effective reproduction number using nowcasting	8
Development of a mixture model allowing for smoothing functions of longitudinal trajectories	7
Spatiotemporal distributed lag modelling of multiplePlasmodiumspecies in a malaria elimination setting	7
Distance-based Classification and Regression Trees for the analysis of complex predictors in health and medical research	7
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	7
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts	7
Exploring consequences of simulation design for apparent performance of methods of meta-analysis	7
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates	7
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed	7
CWL: A conditional weighted likelihood method to account for the delayed joint toxicity–efficacy outcomes for phase I/II clinical trials	7
Ensemble methods for survival function estimation with time-varying covariates	7

A robust variable screening procedure for ultra-high dimensional data	6
Mid-quantile regression for discrete responses	6
Employing a latent variable framework to improve efficiency in composite endpoint analysis	6
Inference about age-standardized rates with sampling errors in the denominators	6
Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach	6
A permutation test for assessing the presence of individual differences in treatment effects	6
MEGH: A parametric class of general hazard models for clustered survival data	6
Statistical reproducibility for pairwise t-tests in pharmaceutical research	6
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test	6
Uncertainty quantification for epidemiological forecasts of COVID-19 through combinations of model predictions	6
A distribution-free control charting technique based on change-point analysis for detection of epidemics	6
Re-randomisation trials in multi-episode settings: Estimands and independence estimators	6
Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease	6
Risk difference tests for stratified binary data under Dallal’s model	6
Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic	6
A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks	6
Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis	6
CFO: Calibration-free odds design for phase I/II clinical trials	6
An effective technique for diabetic retinopathy using hybrid machine learning technique	6
A method for systematically ranking therapeutic drug candidates using multiple uncertain screening criteria	6
Inference on the overlap coefficient: The binormal approach and alternatives	6
Probability intervals of toxicity and efficacy design for dose-finding clinical trials in oncology	6
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.	5
Benchmarking survival outcomes: A funnel plot for survival data	5
A dose–effect network meta-analysis model with application in antidepressants using restricted cubic splines	5
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?	5
Integrating relative survival in multi-state models—a non-parametric approach	5
Quantile regression models for survival data with missing censoring indicators	5
A semiparametric mixed-effects model for censored longitudinal data	5
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction	5
A group sequential design and sample size estimation for an immunotherapy trial with a delayed treatment effect	5
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations	5
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies	5
Association of intracluster correlation measures with outcome prevalence for binary outcomes in cluster randomised trials	5
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis	5
A Bayesian phase I/II biomarker-based design for identifying subgroup-specific optimal dose for immunotherapy	5
Inference under covariate-adaptive randomization: A simulation study	5
A support vector machine-based cure rate model for interval censored data	5
Regression analysis of multivariate interval-censored failure time data with informative censoring	5
Unified approach to optimal estimation of mean and standard deviation from sample summaries	5
Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data	5
Net benefit separation and the determination curve: A probabilistic framework for cost-effectiveness estimation	5
Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry data	5
The asymptotic distribution of the Net Benefit estimator in presence of right-censoring	5
Robust statistical inference for matched win statistics	5
A survival mediation model with Bayesian model averaging	5
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data	5
Bayesian adaptive decision-theoretic designs for multi-arm multi-stage clinical trials	5
Generalized quasi-linear mixed-effects model	5
Joint space–time Bayesian disease mapping via quantification of disease risk association	4
A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes	4
Unbiased and robust analysis of co-localization in super-resolution images	4
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference	4
Combining multiple biomarkers to linearly maximize the diagnostic accuracy under ordered multi-class setting	4
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model	4
Quantile regression on inactivity time	4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment	4
Robust regression with asymmetric loss functions	4
Weighted functional linear Cox regression model	4
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory	4
A unified approach to power and sample size determination for log-rank tests under proportional and nonproportional hazards	4
Clustered longitudinal data subject to irregular observation	4
MISL: Multiple imputation by super learning	4
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes	4
Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative	4
Negative controls: Concepts and caveats	4
Clustering functional data using forward search based on functional spatial ranks with medical applications	4
A proportional risk model for time-to-event analysis in randomized controlled trials	4
Promising zone two-stage design for a single-arm study with binary outcome	4
Impact of minimal sufficient balance, minimization, and stratified permuted blocks on bias and power in the estimation of treatment effect in sequential clinical trials with a binary endpoint	4
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings	4
Modeling the probability of occurrence of events	4
Marginal structural models with latent class growth analysis of treatment trajectories: Statins for primary prevention among older adults	4
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models	4
Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders	4
Revisiting Gaussian Markov random fields and Bayesian disease mapping	4
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored	4
Logistic regression vs. predictive mean matching for imputing binary covariates	4