182-2007: Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression
نویسندگان
چکیده
We propose the percentile curves concept as conditional probabilities curves across representative percentiles of the distribution of curves induced by random effects in a logistic model with random intercepts. We extend this concept to a logistic model with random intercepts and slopes and propose a methodology to approximate the percentile curves using the Monte-Carlo technique. We apply this concept to a binary longitudinal data set. The results suggest that the percentile curves complement the analysis of longitudinal data and permit a marginal interpretation of subject-specific parameters. The first and third quartile, the median and the mean curves are the principal percentile curves to describe the behavior of the data.
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