The below seminars addresses the basics of understanding propensity score analysis and its use for health services research; key analytic strategies conducting propensity score analysis, including matching, weighting, and sub-classification in Stata and R; and practical considerations and common complications when using propensity scores.
Free 201Applied Propensity Score Analysis I: Rationale and Basic Techniques
Format: On-demand, streaming presentation with voice-over
Learning objectives for part I of the series include:
- Understanding propensity score analysis is and why it might be conducted.
- Appreciating the differences between a propensity score analysis and a common regression-based analysis.
- Understanding the basic procedures involved in a propensity score analysis.
- Appreciating the major shortcomings of propensity score analyses.
Applied Propensity Score Analysis II: Practical Considerations and Lessons for Use
Format: On-demand, streaming presentation with voice-over
Learning objectives for part II of the series include:
- Learning how to implement propensity score matching, weighting, and sub-classification in R
- The ability to diagnose whether or not a propensity score method "worked" at balancing the covariates.
- Understanding some strategies to deal with some of the common complications in using propensity scores
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