ADVANCED STATISTICAL METHODS: PART 1: …

ACS Outcomes Research Course ADVANCED STATISTICAL methods 1 ADVANCED STATISTICAL methods : PART 1: INTRODUCTION TO PROPENSITY SCORES IN STATA Learning objectives: To understand the use of propensity scores as a means for controlling for selection bias in observational studies of treatment effects. To learn how to create propensity scores apply them in a variety of analytic approaches in STATA. To use propensity scores to evaluate the outcomes of open versus laparoscopic appendectomy in the NSQIP data provided. PROPENSITY SCORES IN STATA: Open the dataset and describe the data For this analysis, we will use NSQIP data for patients undergoing appendectomy (2005-2007). This dataset contains 21,475 observations (patients) and 86 variables. The first group (2-56) includes pre-operative patient characteristics and medical conditions. The second group (57-83) includes peri-operative outcomes.

Advanced Statistical Methods 2 17. cpt str5 %5s CPT code 18. inout byte %10.0g inout Inpatient/Outpatient Status 19. age byte %8.0g Patient Age 20. operyr int %8.0g Year of Operation 21. height byte %8.0g Patient Height

Loading..

Tags:

  Methods, Statistical, Advanced, Advanced statistical methods, Advanced statistical methods 2

Information

Related search queries