Sharpening Bounds on Principal Effects with Covariates
نویسندگان
چکیده
منابع مشابه
Sharpening bounds on principal effects with covariates.
Estimation of treatment effects in randomized studies is often hampered by possible selection bias induced by conditioning on or adjusting for a variable measured post-randomization. One approach to obviate such selection bias is to consider inference about treatment effects within principal strata, that is, principal effects. A challenge with this approach is that without strong assumptions pr...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2013
ISSN: 0006-341X
DOI: 10.1111/biom.12103