Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research

By Peter C. Austin. Communications in statistics. Simulation and computation, 2009

2,235 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2452962c3cdf6c9d699fc2fba2e0a7d3ea05f516

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In Statistics and Probability

1. Peter C. Austin
2. Elizabeth A. Stuart
3. José R. Zubizarreta
4. Gary King
5. Nathan Kallus
6. Richard A. Nielsen
7. Kosuke Imai
8. M. Resa

Citations in the corpus

• An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies (2011, methodology): “The use of IPTW is similar to the use of survey sampling weights that are used to weight survey samples so that they are representative of specific populations (Morgan & Todd, 2008).”
• Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies (2015, methodology): “The standardized difference was developed for comparing continuous variables; however, it can justifiably be used for comparing dichotomous variables [38].”