Chapter 6: Matching Methods for Estimating Causal Treatment Effects
6.2.2 Mahalanobis Distance Measure
6.2.3 Propensity Score Distance Measure
6.2.4 Linear Propensity Score Distance Measure
6.2.5 Some Considerations in Choosing Distance Measures
6.3.2 Matching With and Without Replacement
6.3.3 Fixed Ratio Versus Variable Ratio Matching
6.4.1 Nearest Neighbor Matching
6.4.5 Discussion: Selecting the Matching Constraints and Algorithm
6.5 Example: Matching Methods Applied to the Simulated REFLECTIONS Data
Get Real World Health Care Data Analysis now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.