Using simulation studies to evaluate statistical methods
From MaRDI portal
Publication:6625623
DOI10.1002/sim.8086zbMATH Open1545.62469MaRDI QIDQ6625623
Tim P. Morris, Michael J. Crowther, Ian R. White
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Multiple imputation for multilevel data with continuous and binary variables
- Is a small Monte Carlo analysis a good analysis? Checking the size, power and consistency of a simulation-based test
- Efficient Jump Ahead for 𝔽2-Linear Random Number Generators
- Multiple Imputation After 18+ Years
- Computer Age Statistical Inference
- Multiple imputation when records used for imputation are not used or disseminated for analysis
- Estimating a Marginal Causal Odds Ratio Subject to Confounding
- The Reporting of Computation-Based Results in Statistics
- Inference and missing data
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
- Inference for imputation estimators
- On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
- Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods
Related Items (only showing first 100 items - show all)
Power priors for replication studies ⋮ Computational procedures for quality assessment of latent concepts ⋮ Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models ⋮ A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials ⋮ Modeling the multi-state natural history of rare diseases with heterogeneous individual patient data: a simulation study ⋮ Addressing missing data in the estimation of time-varying treatments in comparative effectiveness research ⋮ Sample size and predictive performance of machine learning methods with survival data: a simulation study ⋮ Generalizing treatment effects with incomplete covariates: identifying assumptions and multiple imputation algorithms ⋮ A censored quantile regression approach for relative survival analysis: relative survival quantile regression ⋮ Going deep in diagnostic modeling: deep cognitive diagnostic models (DeepCDMs) ⋮ Analysis of survival outcomes using likelihood ratio test in trials incorporating patient's treatment choice ⋮ Trial arm outcome variance difference after dropout as an indicator of missing-not-at-random bias in randomized controlled trials ⋮ The generalized Robbins-Monro process and its application to psychophysical experiments for threshold estimation ⋮ Poisson-Tweedie models for count data with excessive zeros: comparison with the negative binomial model ⋮ Assessing efficacy in non-inferiority trials with non-adherence to interventions: are intention-to-treat and per-protocol analyses fit for purpose? ⋮ On variance estimation of the inverse probability-of-treatment weighting estimator: a tutorial for different types of propensity score weights ⋮ Calibration plots for multistate risk prediction models ⋮ A fast bootstrap algorithm for causal inference with large data ⋮ Exposure effects on count outcomes with observational data, with application to incarcerated women ⋮ Assessing the performance of population adjustment methods for anchored indirect comparisons: a simulation study ⋮ Propensity score matching after multiple imputation when a confounder has missing data ⋮ Impact of correlations between prioritized outcomes on the net benefit and its estimate by generalized pairwise comparisons ⋮ Balancing versus modelling in weighted analysis of non-randomised studies with survival outcomes: a simulation study ⋮ 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 ⋮ Non-parametric inference on calibration of predicted risks ⋮ Handling missing disease information due to death in diseases that need two visits to diagnose ⋮ Statistical plasmode simulations-potentials, challenges and recommendations ⋮ Categorisation of continuous covariates for stratified randomisation: how should we adjust? ⋮ Measurement errors in control risk regression: a comparison of correction techniques ⋮ Missing data strategies for time-varying confounders in comparative effectiveness studies of non-missing time-varying exposures and right-censored outcomes ⋮ Adjusted restricted mean survival times in observational studies ⋮ Analysis of survival data with nonproportional hazards: a comparison of propensity-score-weighted methods ⋮ 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 ⋮ Impact of the matching algorithm on the treatment effect estimate: a neutral comparison study ⋮ Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials ⋮ Pitfalls and potentials in simulation studies: questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method ⋮ The Bayesian simulation study (BASIS) framework for simulation studies in statistical and methodological research ⋮ Comparing linear discriminant analysis and supervised learning algorithms for binary classification -- a method comparison study ⋮ Relative likelihood ratios for neutral comparisons of statistical tests in simulation studies ⋮ Toward a standardized evaluation of imputation methodology ⋮ Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: a simulation study ⋮ Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome ⋮ On the role of benchmarking data sets and simulations in method comparison studies ⋮ Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment ⋮ A comparison of strategies for selecting auxiliary variables for multiple imputation ⋮ Regularized parametric survival modeling to improve risk prediction models ⋮ Comment on Oberman \& Vink: should we fix or simulate the complete data in simulation studies evaluating missing data methods? ⋮ Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial ⋮ Explained variation and degrees of necessity and of sufficiency for competing risks survival data ⋮ Recoverability and estimation of causal effects under typical multivariable missingness mechanisms ⋮ Sample size planning for rank-based multiple contrast tests ⋮ Adaptive predictor-set linear model: an imputation-free method for linear regression prediction on data sets with missing values ⋮ Causal inference in survival analysis using longitudinal observational data: sequential trials and marginal structural models ⋮ A multiple testing framework for diagnostic accuracy studies with co-primary endpoints ⋮ Approximate profile likelihood estimation for Cox regression with covariate measurement error ⋮ Multiple imputation for longitudinal data using Bayesian Lasso imputation model ⋮ Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption ⋮ Developing prediction models to estimate the risk of two survival outcomes both occurring: a comparison of techniques ⋮ Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances ⋮ Handling misclassified stratification variables in the analysis of randomised trials with continuous outcomes ⋮ A lean additive frailty model: with an application to clustering of melanoma in Norwegian families ⋮ Accounting for nonmonotone missing data using inverse probability weighting ⋮ Measurement error in continuous endpoints in randomised trials: problems and solutions ⋮ Regression models using parametric pseudo-observations ⋮ Power and sample size for multistate model analysis of longitudinal discrete outcomes in disease prevention trials ⋮ Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: a plasmode simulation ⋮ The impact of adjusting for pure predictors of exposure, mediator, and outcome on the variance of natural direct and indirect effect estimators ⋮ Selection of variables for multivariable models: opportunities and limitations in quantifying model stability by resampling ⋮ Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches ⋮ A comparison of multiple imputation strategies for handling missing data in multi-item scales: guidance for longitudinal studies ⋮ Preserving data privacy when using multi-site data to estimate individualized treatment rules ⋮ Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials ⋮ A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model ⋮ A comparison of methods for analyzing a binary composite endpoint with partially observed components in randomized controlled trials ⋮ Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods ⋮ A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint ⋮ Inverse probability weighting and doubly robust standardization in the relative survival framework ⋮ Multiple imputation of semi-continuous exposure variables that are categorized for analysis ⋮ Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint ⋮ Restricted mean survival time regression model with time-dependent covariates ⋮ Multiple imputation approaches for handling incomplete three-level data with time-varying cluster-memberships ⋮ The batched stepped wedge design: a design robust to delays in cluster recruitment ⋮ Impact of model misspecification in shared frailty survival models ⋮ Design and analysis of cluster randomized trials with time-to-event outcomes under the additive hazards mixed model ⋮ Substantive model compatible multilevel multiple imputation: a joint modeling approach ⋮ Network meta-analysis of rare events using penalized likelihood regression ⋮ On the use of the likelihood ratio test methodology in pharmacovigilance ⋮ Regression with a right-censored predictor using inverse probability weighting methods ⋮ Dealing with confounding in observational studies: a scoping review of methods evaluated in simulation studies with single-point exposure ⋮ Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations ⋮ A flexible multi-metric Bayesian framework for decision-making in phase II multi-arm multi-stage studies ⋮ Multiple imputation of incomplete multilevel data using Heckman selection models ⋮ An extended Bayesian semi-mechanistic dose-finding design for phase I oncology trials using pharmacokinetic and pharmacodynamic information ⋮ Meta-analysis of diagnostic accuracy studies with multiple thresholds: comparison of approaches in a simulation study ⋮ Post-estimation shrinkage in full and selected linear regression models in low-dimensional data revisited ⋮ Transportability of model-based estimands in evidence synthesis ⋮ Evaluating individualized treatment effect predictions: a model-based perspective on discrimination and calibration assessment ⋮ A simulation study of the performance of statistical models for count outcomes with excessive zeros ⋮ Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs ⋮ Performance of mixed effects models and generalized estimating equations for continuous outcomes in partially clustered trials including both independent and paired data
This page was built for publication: Using simulation studies to evaluate statistical methods