Abstract:We propose a new method to estimate a regression function based on the semiparametric density ratio model, which can be viewed as a generalized linear model with a canonical link function and an unspecified baseline distribution function. Under this model, the distribution of the observed data retains the same structure in the presence of selection‐biased sampling or when the predictors are missing at random. In particular, in the latter case, the new method utilizes all the available information and does not … Show more
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