Predict and Adjust with Logistic Regression
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: The Stata Journal: Promoting communications on statistics and Stata
سال: 2007
ISSN: 1536-867X,1536-8734
DOI: 10.1177/1536867x0700700206