A comparison of different methods to handle missing data in the context of propensity score analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Epidemiology
Link
http://link.springer.com/article/10.1007/s10654-018-0447-z/fulltext.html
Reference43 articles.
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3. Williamson E, Morley R, Lucas A, Carpenter J. Propensity scores: from naive enthusiasm to intuitive understanding. Stat Methods Med Res. 2012;21(3):273–93. https://doi.org/10.1177/0962280210394483 .
4. Austin PC. The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies. Med Decis Mak. 2009;29(6):661–77. https://doi.org/10.1177/0272989X09341755 .
5. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28(25):3083–107. https://doi.org/10.1002/sim.3697 .
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