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 2020-11-01 to 2024-11-01.)

Article	Citations
Detecting the skewness of data from the five-number summary and its application in meta-analysis	61
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis	47
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression	45
Multiple imputation with missing data indicators	45
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting	37
Small sample sizes: A big data problem in high-dimensional data analysis	36
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	29
Spatial scan statistics can be dangerous	25
Commentary on the use of the reproduction number R during the COVID-19 pandemic	23
Adjusting for selection bias due to missing data in electronic health records-based research	23
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number	20
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators	18
Glucodensities: A new representation of glucose profiles using distributional data analysis	18
A Bayesian dose–response meta-analysis model: A simulations study and application	17
The change in estimate method for selecting confounders: A simulation study	16
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK	16
Revisiting performance metrics for prediction with rare outcomes	16
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance	16
Propensity score analysis methods with balancing constraints: A Monte Carlo study	16
On recurrent-event win ratio	15
Inferring risks of coronavirus transmission from community household data	14
Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome	14
Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics	14
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

Methods for modelling excess mortality across England during the COVID-19 pandemic	13
Standard error estimation in meta-analysis of studies reporting medians	13
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study	13
An overview of propensity score matching methods for clustered data	12
On estimating the area under the ROC curve in ranked set sampling	12
General regression methods for respondent-driven sampling data	12
G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting	12
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data	11
Modified Brier score for evaluating prediction accuracy for binary outcomes	11
Statistical design considerations for trials that study multiple indications	10
Deselection of base-learners for statistical boosting—with an application to distributional regression	10
Mediation analysis for mixture Cox proportional hazards cure models	10
Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data	10
Online control of the familywise error rate	10
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study	10
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning	10
Regularization approaches in clinical biostatistics: A review of methods and their applications	10
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard	10
Variable selection for causal mediation analysis using LASSO-based methods	10
Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large	10
Online control of the False Discovery Rate in group-sequential platform trials	9
Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters	9
Inferring median survival differences in general factorial designs via permutation tests	9
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19	9
A family of Gamma-generated distributions: Statistical properties and applications	9
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods	9
An adaptive seamless Phase 2-3 design with multiple endpoints	8
Inference on the overlap coefficient: The binormal approach and alternatives	8
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	8
Sample sizes for cluster-randomised trials with continuous outcomes: Accounting for uncertainty in a single intra-cluster correlation estimate	8
Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication	8
Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data	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
Improving convergence in growth mixture models without covariance structure constraints	8
Improving the estimation of the COVID-19 effective reproduction number using nowcasting	8
Exploring consequences of simulation design for apparent performance of methods of meta-analysis	7
A distribution-free control charting technique based on change-point analysis for detection of epidemics	7
Ensemble methods for survival function estimation with time-varying covariates	7
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts	7
Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting	7
Distance-based Classification and Regression Trees for the analysis of complex predictors in health and medical research	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
A permutation test for assessing the presence of individual differences in treatment effects	7
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates	7
A method for systematically ranking therapeutic drug candidates using multiple uncertain screening criteria	6
MEGH: A parametric class of general hazard models for clustered survival data	6
Statistical reproducibility for pairwise t-tests in pharmaceutical research	6
A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks	6

A dose–effect network meta-analysis model with application in antidepressants using restricted cubic splines	6
Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis	6
Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach	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
Mid-quantile regression for discrete responses	6
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test	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
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction	6
Probability intervals of toxicity and efficacy design for dose-finding clinical trials in oncology	6
A robust variable screening procedure for ultra-high dimensional data	6
Uncertainty quantification for epidemiological forecasts of COVID-19 through combinations of model predictions	6
Employing a latent variable framework to improve efficiency in composite endpoint analysis	6
Re-randomisation trials in multi-episode settings: Estimands and independence estimators	6
Revisiting Gaussian Markov random fields and Bayesian disease mapping	5
Quantile regression models for survival data with missing censoring indicators	5
Generalized quasi-linear mixed-effects model	5
Bayesian adaptive decision-theoretic designs for multi-arm multi-stage clinical trials	5
Association of intracluster correlation measures with outcome prevalence for binary outcomes in cluster randomised trials	5
Benchmarking survival outcomes: A funnel plot for survival data	5
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?	5
A Bayesian phase I/II biomarker-based design for identifying subgroup-specific optimal dose for immunotherapy	5
A survival mediation model with Bayesian model averaging	5
A support vector machine-based cure rate model for interval censored data	5
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data	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
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.	5
Net benefit separation and the determination curve: A probabilistic framework for cost-effectiveness estimation	5
Robust statistical inference for matched win statistics	5
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis	5
Integrating relative survival in multi-state models—a non-parametric approach	5
Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model	5
Robust regression with asymmetric loss functions	5
Regression analysis of multivariate interval-censored failure time data with informative censoring	5
Logistic regression vs. predictive mean matching for imputing binary covariates	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
Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry data	5
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies	5
MISL: Multiple imputation by super learning	5
The asymptotic distribution of the Net Benefit estimator in presence of right-censoring	5
Inference under covariate-adaptive randomization: A simulation study	5
A semiparametric mixed-effects model for censored longitudinal data	5
Negative controls: Concepts and caveats	4
Promising zone two-stage design for a single-arm study with binary outcome	4
Weighted functional linear Cox regression model	4
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory	4
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings	4
Modeling the probability of occurrence of events	4
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes	4
Combining multiple biomarkers to linearly maximize the diagnostic accuracy under ordered multi-class setting	4
Clustering functional data using forward search based on functional spatial ranks with medical applications	4
Quantile regression on inactivity time	4
A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes	4
Joint space–time Bayesian disease mapping via quantification of disease risk association	4
Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data	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
Sensitivity analyses in longitudinal clinical trials via distributional imputation	4
A Poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases	4
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored	4
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions	4
Goodness-of-fit tests for a logistic regression model with missing covariates	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
Unbiased and robust analysis of co-localization in super-resolution images	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
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment	4