SAS Code 1
- Variety of tools for propensity score analysis by: inverse probability of treatment / ATT weighting, stratification, or matching methods.
- Methods for assessing the balance of baseline covariates and other variables in the treated and control groups
Local and global optimal propensity score matching
- Coca-Perraillon, M. (2007). Local and global optimal propensity score matching.
- In SAS Global Forum 2007. Paper 185-2007.
- Variety of matching methods. No built in diagnostics. Assumes propensity score already estimated.
- [Documenation] (https://www.tandfonline.com/doi/full/10.1080/00949655.2016.1203433)
- Iacus, S.M., King, G., and Porro, G. (2008). Matching for Causal Inference Without Balance Checking.
- Implements coarsened exact matching
Greedy matching (1:1 nearest neighbor)
- Parsons, L. S. (2001). Reducing bias in a propensity score matched-pair sample using greedy matching techniques. In SAS SUGI 26, Paper 214-26.
- Parsons, L.S. (2005). Using SAS software to perform a case-control match on propensity score in an observational study. In SAS SUGI 30, Paper 225-25.
- [Kosanke, J., and Bergstralh, E.] (2004)(http://bioinformaticstools.mayo.edu/research/gmatch/). gmatch: Match 1 or more controls to cases using the GREEDY algorithm.
1:1 Mahalanbois matching within propensity score calipers
- Feng, W.W., Jun, Y., and Xu, R. (2005) A method/macro based on propensity score and Mahalanobis distance to reduce bias in treatment comparison in observational study.
- Leslie, S. and Thiebaud, P. (2006). Using propensity scores to adjust for treatment selection bias.
Variable ratio matching, optimal matching algorithm
- Kosanke, J., and Bergstralh, E. (2004). Match cases to controls using variable optimal matching.