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*	Program Name:	Calculating SMR and IPTW in SAS
*	Original date:	April 14 2019
*	Author:		Bailey DeBarmore
*	Software:	Stata
*	Downloaded from www.baileydebarmore.com/epicode
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* Calculating SMR weights
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​* Syntax for teffects statement

*teffects ipw (<outcome>) (<exposure> <covariates>), atet
*where <outcome> is your outcome variable, <exposure> is your exposure variable, and 
*<covariates> is a list of your covariates to generate your weights. 

*Example: Binary
*Outcome = lowbirthwt
*Exposure = maternalsmoke
*Covariates = maternalage nonwhite

*Use the teffects statement to generate your weights and then apply them in a logistic (default) model all in 1 step

teffects ipw (lowbirthwt) (maternalsmoke maternalage nonwhite), atet

*If your outcome is continuous, you can specify a probit model

*Example: Continuous
*Outcome = birthwt
*Exposure = maternalsmoke
*Covariates = maternalage nonwhite

teffects ipw (birthwt) (maternalsmoke maternalage nonwhite, probit), atet

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* Calculating IPTW
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​
​* Syntax for teffects statement

*teffects ipw (<outcome>) (<exposure> <covariates>), ate
*where <outcome> is your outcome variable, <exposure> is your exposure variable, and 
*<covariates> is a list of your covariates to generate your weights. 

*Example: Binary
*Outcome = lowbirthwt
*Exposure = maternalsmoke
*Covariates = maternalage nonwhite

*Use the teffects statement to generate your weights and then apply them in a logistic (default) model all in 1 step

teffects ipw (lowbirthwt) (maternalsmoke maternalage nonwhite), ate

*If your outcome is continuous, you can specify a probit model

*Example: Continuous
*Outcome = birthwt
*Exposure = maternalsmoke
*Covariates = maternalage nonwhite

teffects ipw (birthwt) (maternalsmoke maternalage nonwhite, probit), ate
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