Page 113 - Contributed Paper Session (CPS) - Volume 5
P. 113

CPS1113 Madhu Mazumdar et al.
            9.  Zhang Z, Uddin MJ, Cheng J, Huang T. Instrumental variable analysis in
                 the presence of unmeasured confounding. Ann Transl Med.
                 2018;6(10):182. doi:10.21037/atm.2018.03.37.
            10.  Premier Healthcare Database White Paper: Data that Informs and
                 Performs.https://www.premierinc.com/wpdmpackage/research/?wpdmdl
                 =3005&ind=1WPMW7ESmN_SGTnlmo5LNi4O3smwj95mtUScCxFzmgTj
                 O68iqCCmly7wENVgVCavUo7UN3ERg3tk9eJrKPBrpYl3WpNRtwLjT4WtLn
                 mGlKI.  Published 2017.
            11.  Austin PC. Using the standardized difference to compare the prevalence
                 of a binary variable between two groups in observational research.
                 Commun Stat Simul Comput. 2009;38(6):1228-1234.
                 doi:10.1080/03610910902859574.
            12.  Yang D, Dalton J. A unified approach to measuring the effect size
                 between two groups using SAS®. SASGlob Forum. 2012:





















































                                                               102 | I S I   W S C   2 0 1 9
   108   109   110   111   112   113   114   115   116   117   118