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. 2017;5(2):20150026.
doi: 10.1515/jci-2015-0026. Epub 2017 Jan 13.

Chasing balance and other recommendations for improving nonparametric propensity score models

B A Griffin  1 , D McCaffrey  2 , D Almirall  3 , C Setodji  1 , L Burgette  1
Affiliations

Chasing balance and other recommendations for improving nonparametric propensity score models

B A Griffin et al. J Causal Inference. 2017.
No abstract available

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Figures

Figure 1
Figure 1
Overarching Structure for the Simulation Study
Figure 2
Figure 2
Maximum mean ASMD for Model A data generation and four covariates used in propensity score estimation (no distractors case) for (a) the PA and (b) the abstainers data generation case studies.
Figure 2
Figure 2
Maximum mean ASMD for Model A data generation and four covariates used in propensity score estimation (no distractors case) for (a) the PA and (b) the abstainers data generation case studies.
Figure 3
Figure 3
Maximum mean ASMD for Model A data generation but with all covariates used in propensity score estimation (distractors case) for (a) the PA and (b) the abstainers data generation case studies
Figure 3
Figure 3
Maximum mean ASMD for Model A data generation but with all covariates used in propensity score estimation (distractors case) for (a) the PA and (b) the abstainers data generation case studies
Figure 4
Figure 4
Maximum mean ASMD for Model B data generation and Model B propensity score estimation (All important case) for 4 most influential covariates for (a) the PA and (b) the abstainers data generation case studies.
Figure 4
Figure 4
Maximum mean ASMD for Model B data generation and Model B propensity score estimation (All important case) for 4 most influential covariates for (a) the PA and (b) the abstainers data generation case studies.
See this image and copyright information in PMC

References

    1. Breiman Leo. Random Forests. Machine Learning. 2001;45:5–32.
    1. Brookhart M Alan, Schneeweiss Sebastian, Rothman Kenneth J, Glynn Robert J, Avorn Jerry, Stürmer Til. Variable Selection for Propensity Score Model. American Journal of Epidemiology. 2006;163(12):1149–1156. - PMC - PubMed
    1. Burgette L, McCaffrey DF, Griffin BA. Propensity score estimation with boosted regression. In: Pan W, Bai H, editors. Propensity score analysis: Fundamentals, developments, and extensions. New York (NY): Guilford Press; 2015.
    1. Burgette Lane, McCaffrey Daniel F, Griffin Beth Ann. Propensity Score Estimation with Boosted Regression. In: Pan Wei, Bai Haiyan., editors. Propensity Score Analysis: Fundamentals and Developments. New York: Guildford Publications; in press.
    1. Conover WJ. Practical Nonparametric Statistics. Vol. 3. Wiley; 1999.

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