| Using simulation studies to evaluate statistical methods |
67 |
| Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes |
58 |
| Bootstrap inference when using multiple imputation |
46 |
| A comparison of seven random-effects models for meta-analyses that estimate the summary odds ratio |
24 |
| Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival |
19 |
| Propensity-score matching with competing risks in survival analysis |
19 |
| Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes |
19 |
| Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data |
16 |
| Incorporation of frailties into a cure rate regression model and its diagnostics and application to melanoma data |
15 |
| One-sample aggregate data meta-analysis of medians |
14 |
| Performance of intraclass correlation coefficient (ICC) as a reliability index under various distributions in scale reliability studies |
14 |
| Sample size considerations and predictive performance of multinomial logistic prediction models |
13 |
| Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk |
13 |
| Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models |
12 |
| Targeted learning with daily EHR data |
11 |
| The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models |
11 |
| Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens |
11 |
| Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective |
11 |
| Some methods for heterogeneous treatment effect estimation in high dimensions |
11 |
| Combining multiple imputation and bootstrap in the analysis of cost-effectiveness trial data |
10 |
| Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment |
10 |
| Robust analysis of stepped wedge trials using cluster-level summaries within periods |
9 |
| Evaluating classification accuracy for modern learning approaches |
9 |
| Analysis of the US patient referral network |
9 |
| Bayesian basket trial design with exchangeability monitoring |
9 |
| Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures |
9 |
| A flexible and coherent test/estimation procedure based on restricted mean survival times for censored time-to-event data in randomized clinical trials |
9 |
| Assessing the performance of the generalized propensity score for estimating the effect of quantitative or continuous exposures on binary outcomes |
9 |
| Comparative review of novel model-assisted designs for phase I clinical trials |
9 |
| Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases |
9 |
| Investigating the assumptions of the self-controlled case series method |
9 |
| Confidence intervals of the Mann-Whitney parameter that are compatible with the Wilcoxon-Mann-Whitney test |
8 |
| Relative efficiency of unequal cluster sizes in stepped wedge and other trial designs under longitudinal or cross-sectional sampling |
8 |
| Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies |
8 |
| A comparison of arm-based and contrast-based models for network meta-analysis |
8 |
| Power and sample size requirements for GEE analyses of cluster randomized crossover trials |
8 |
| New metrics for meta-analyses of heterogeneous effects |
8 |
| Model averaging for robust extrapolation in evidence synthesis |
7 |
| Targeted maximum likelihood estimation for a binary treatment: A tutorial |
7 |
| Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models |
7 |
| Analysis of longitudinal data from outcome-dependent visit processes: Failure of proposed methods in realistic settings and potential improvements |
7 |
| An extended mixed-effects framework for meta-analysis |
7 |
| Controlling the type I error rate in two-stage sequential adaptive designs when testing for average bioequivalence |
7 |
| Multivariate longitudinal data analysis with censored and intermittent missing responses |
7 |
| On the use of the not-at-random fully conditional specification (NARFCS) procedure in practice |
7 |
| Two-tailed significance tests for 2 x 2 contingency tables: What is the alternative? |
7 |
| Data-generating models of dichotomous outcomes: Heterogeneity in simulation studies for a random-effects meta-analysis |
7 |
| Graphing the Win Ratio and its components over time |
6 |
| Optimal sample size planning for the Wilcoxon-Mann-Whitney test |
6 |
| A 3-level Bayesian mixed effects location scale model with an application to ecological momentary assessment data |
6 |
