Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review
- 1 February 2015
- journal article
- review article
- Published by Elsevier BV in Journal of Clinical Epidemiology
- Vol. 68 (2), 122-131
- https://doi.org/10.1016/j.jclinepi.2014.08.011
Abstract
No abstract availableKeywords
This publication has 53 references indexed in Scilit:
- Invited Commentary: Understanding Bias AmplificationAmerican Journal of Epidemiology, 2011
- Effects of Adjusting for Instrumental Variables on Bias and Precision of Effect EstimatesAmerican Journal of Epidemiology, 2011
- Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studiesPharmaceutical Statistics, 2011
- The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustrationPharmacoepidemiology and Drug Safety, 2011
- The role of the c‐statistic in variable selection for propensity score modelsPharmacoepidemiology and Drug Safety, 2010
- Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regressionJournal of Clinical Epidemiology, 2010
- Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samplesStatistics in Medicine, 2009
- Evaluating uses of data mining techniques in propensity score estimation: a simulation studyPharmacoepidemiology and Drug Safety, 2008
- A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003Statistics in Medicine, 2007
- Variable Selection for Propensity Score ModelsAmerican Journal of Epidemiology, 2006