Pages that link to "Item:Q6625623"

The following pages link to Using simulation studies to evaluate statistical methods (Q6625623):

Displaying 50 items.

• Computational procedures for quality assessment of latent concepts (Q6548814) (← links)
• Power priors for replication studies (Q6557181) (← links)
• Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models (Q6559934) (← links)
• A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials (Q6560456) (← links)
• Modeling the multi-state natural history of rare diseases with heterogeneous individual patient data: a simulation study (Q6560477) (← links)
• Addressing missing data in the estimation of time-varying treatments in comparative effectiveness research (Q6560497) (← links)
• Sample size and predictive performance of machine learning methods with survival data: a simulation study (Q6560569) (← links)
• Generalizing treatment effects with incomplete covariates: identifying assumptions and multiple imputation algorithms (Q6563657) (← links)
• A censored quantile regression approach for relative survival analysis: relative survival quantile regression (Q6563667) (← links)
• Going deep in diagnostic modeling: deep cognitive diagnostic models (DeepCDMs) (Q6572330) (← links)
• Analysis of survival outcomes using likelihood ratio test in trials incorporating patient's treatment choice (Q6579813) (← links)
• Trial arm outcome variance difference after dropout as an indicator of missing-not-at-random bias in randomized controlled trials (Q6595083) (← links)
• The generalized Robbins-Monro process and its application to psychophysical experiments for threshold estimation (Q6595389) (← links)
• Poisson-Tweedie models for count data with excessive zeros: comparison with the negative binomial model (Q6605909) (← links)
• Assessing efficacy in non-inferiority trials with non-adherence to interventions: are intention-to-treat and per-protocol analyses fit for purpose? (Q6615873) (← links)
• On variance estimation of the inverse probability-of-treatment weighting estimator: a tutorial for different types of propensity score weights (Q6615918) (← links)
• Calibration plots for multistate risk prediction models (Q6615944) (← links)
• A fast bootstrap algorithm for causal inference with large data (Q6615950) (← links)
• Exposure effects on count outcomes with observational data, with application to incarcerated women (Q6616359) (← links)
• Assessing the performance of population adjustment methods for anchored indirect comparisons: a simulation study (Q6617439) (← links)
• Propensity score matching after multiple imputation when a confounder has missing data (Q6617459) (← links)
• Impact of correlations between prioritized outcomes on the net benefit and its estimate by generalized pairwise comparisons (Q6617519) (← links)
• Balancing versus modelling in weighted analysis of non-randomised studies with survival outcomes: a simulation study (Q6618303) (← links)
• The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research (Q6618321) (← links)
• Non-parametric inference on calibration of predicted risks (Q6618360) (← links)
• Handling missing disease information due to death in diseases that need two visits to diagnose (Q6618462) (← links)
• Statistical plasmode simulations-potentials, challenges and recommendations (Q6618472) (← links)
• Categorisation of continuous covariates for stratified randomisation: how should we adjust? (Q6618500) (← links)
• Measurement errors in control risk regression: a comparison of correction techniques (Q6622223) (← links)
• Missing data strategies for time-varying confounders in comparative effectiveness studies of non-missing time-varying exposures and right-censored outcomes (Q6624692) (← links)
• Adjusted restricted mean survival times in observational studies (Q6625176) (← links)
• Analysis of survival data with nonproportional hazards: a comparison of propensity-score-weighted methods (Q6625329) (← links)
• A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data (Q6625330) (← links)
• Impact of the matching algorithm on the treatment effect estimate: a neutral comparison study (Q6625333) (← links)
• Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials (Q6625334) (← links)
• Pitfalls and potentials in simulation studies: questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method (Q6625336) (← links)
• The Bayesian simulation study (BASIS) framework for simulation studies in statistical and methodological research (Q6625340) (← links)
• Comparing linear discriminant analysis and supervised learning algorithms for binary classification -- a method comparison study (Q6625343) (← links)
• Relative likelihood ratios for neutral comparisons of statistical tests in simulation studies (Q6625345) (← links)
• Toward a standardized evaluation of imputation methodology (Q6625355) (← links)
• Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: a simulation study (Q6625357) (← links)
• Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome (Q6625360) (← links)
• On the role of benchmarking data sets and simulations in method comparison studies (Q6625370) (← links)
• Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment (Q6625380) (← links)
• A comparison of strategies for selecting auxiliary variables for multiple imputation (Q6625385) (← links)
• Regularized parametric survival modeling to improve risk prediction models (Q6625393) (← links)
• Comment on Oberman \& Vink: should we fix or simulate the complete data in simulation studies evaluating missing data methods? (Q6625424) (← links)
• Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial (Q6625433) (← links)
• Explained variation and degrees of necessity and of sufficiency for competing risks survival data (Q6625445) (← links)
• Recoverability and estimation of causal effects under typical multivariable missingness mechanisms (Q6625454) (← links)