Hi
Does anyone have references on how to perform power analysis for an instrumental variable regression with a binary response variable? Specifically, we want to estimate power for a model that will use IV-regression to estimate the effect of a drug prescription (X) on the probability of an event occurring (Y) with institutions’ prescription rate as an IV (Z).
I have read Austin Nichols “Causal inference for binary regression” on the topic (https://www.stata.com/meeting/chicag...11_nichols.pdf) and I know there is an online power calculator for IV analysis for continuous response variables (https://venexia.shinyapps.io/PharmIV/) that also provides Stata/R code from GitHub. However, I have not found similar references (or code) for performing power analysis in cases with binary response variable, so if anyone has any leads on this it would be much appreciated.
Does anyone have references on how to perform power analysis for an instrumental variable regression with a binary response variable? Specifically, we want to estimate power for a model that will use IV-regression to estimate the effect of a drug prescription (X) on the probability of an event occurring (Y) with institutions’ prescription rate as an IV (Z).
I have read Austin Nichols “Causal inference for binary regression” on the topic (https://www.stata.com/meeting/chicag...11_nichols.pdf) and I know there is an online power calculator for IV analysis for continuous response variables (https://venexia.shinyapps.io/PharmIV/) that also provides Stata/R code from GitHub. However, I have not found similar references (or code) for performing power analysis in cases with binary response variable, so if anyone has any leads on this it would be much appreciated.
