Collapsibility and Suppression for Cumulative Logistic Model
نویسندگان
چکیده
منابع مشابه
cumulative logistic regression vs ordinary logistic regression
The common practice of collapsing inherently continuous or ordinal variables into two categories causes information loss that may potentially weaken power to detect effects of explanatory variables and result in Type II errors in statistical inference. The purpose of this investigation was to illustrate, using a substantive example, the potential increase in power gained from an ordinal instead...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2005
ISSN: 2287-7843
DOI: 10.5351/ckss.2005.12.2.313