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Binary regression with stochastic covariates. (English) Zbl 1120.62053

Summary: In binary regression the risk factor \(X\) has been treated in the literature as a non-stochastic variable. In most situations, however, \(X\) is stochastic. We present solutions applicable to such situations. We show that our solutions are more precise than those obtained by treating \(X\) as non-stochastic when, in fact, it is stochastic.

MSC:

62J12 Generalized linear models (logistic models)
62F10 Point estimation
62F03 Parametric hypothesis testing

Software:

GLIM
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Full Text: DOI

References:

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