Hi,
I would like to know how I could deal with an omitted variable bias in a survival analysis. My research involves the duration of a particular strategy up until the exit. I think variables measuring performance or size are relevant for the results of the research, although they are not included in the analysis. I have used, based on fitting criteria, a log-logistic parametric accelerated failure time survival analysis. Is it true that with the use of the 'frailty' function in Stata, I prevent or overcome the omitted variable bias?
Kind regards,
Michael
Related Posts with Dealing with omitted variable bias in survival analyses
Problem in creating a string variableHi dear profs and colleagues, I am going to create the native_districts_constant variable. The vari…
xtcointreg - "command cointreg is unrecognized r(199)"Dear Statalists, After successfully installing the command xtcointreg using "ssc install xtcointreg"…
replacing variables in orderHello, I have a series of variables with phone numbers (in string format) that are as follows: I…
Means with different base in a loopforeach var in Punjab age_cat Division District2 { preserve collapse (count) n_sex_total (mean)sex_t…
population size on svy: proportion commandHello, I have surveyed the residents of a city of population 61000 people, obtaining 242 responses. …
Subscribe to:
Post Comments (Atom)
0 Response to Dealing with omitted variable bias in survival analyses
Post a Comment