Transcription of Building a Propensity Score Model with SAS/STAT® Software ...
{{id}} {{{paragraph}}}
Example: stock market
Building a Propensity Score Model with SAS/STAT® Software ...
Paper SAS3056-2019 Building a Propensity Score Model with SAS/STAT Software :Planning and PracticeMichael Lamm, Clay Thompson, and Yiu-Fai Yung, SAS Institute Inc., Cary, NCABSTRACTP ropensity Score matching is an intuitive approach that is often used in estimating causal effects from observationaldata. However, all claims about valid causal effect estimation require careful consideration, and thus many challengingquestions can arise when you use Propensity Score matching in practice. How to select a Propensity Score Model isone of the most difficult questions that you are likely to encounter when you do matching. The Propensity Score modelshould consider both the tenability of the assumption of no unmeasured confounding and the covariate balance in thematched data. This paper discusses how you can use the PSMATCH procedure in conjunction with other proceduresin SAS/STAT Software to tackle some of these practical challenges.
Building a Propensity Score Model with SAS/STAT® Software: Planning and Practice Michael Lamm, Clay Thompson, and Yiu-Fai Yung, SAS Institute Inc., Cary, NC ABSTRACT Propensity score matching is an intuitive approach that is often used in estimating causal effects from observational data.
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: