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Infection Control & Hospital Epidemiology


22. Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat 2011;10:150–161.


23. Coca-Perraillon M. Local and global propensity score matching. SAS Global Forum website. http://www2.sas.com/proceedings/forum2007/185- 2007.pdf. Published 2007. Accessed June 8, 2015.


24. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med 2009;28:3083–3107.


25. Yang D, Dalton J. A unified approach to measuring the effect size between two groups using SAS. SAS Global Forum website. http://www. lerner.ccf.org/qhs/software/lib/stddiff.pdf. Published 2012. Accessed June 8, 2015.


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26. Austin PC. The use of propensity score methods with survival or time-to- event outcomes: eporting measures of effect similar to those used in randomized experiments. Stat Med 2014;33:1242–1258.


27. Bowblis JR, Horowitz J, Brunt CS. Ownership status and length of stay in skilled nursing facilities: Does endogeneity matter? J Appl Gerontol 2016;35:303–320.


28. Nanwa N, Sander B, Krahn M, et al. A population-based matched cohort study examining the mortality and costs of patients with community- onset Clostridium difficile infection identified using emergency depart- ment visits and hospital admissions. PLoS One 2017;12:e0172410.


29. Dubberke ER, Butler AM, Yokoe DS, et al. Multicenter study of surveillance for hospital-onset Clostridium difficile infection by the use of ICD-9-CM diagnosis codes. Infect Control Hosp Epidemiol 2010;31:262–268.


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