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Judging the significance of multiple linear regression models.

Abstract：

:It is common practice to calculate large numbers of molecular descriptors, apply variable selection procedures to reduce the numbers, and then construct multiple linear regression (MLR) models with biological activity. The significance of these models is judged using the usual statistical tests. Unfortunately, these tests are not appropriate under these circumstances since the MLR models suffer from "selection bias". Experiments with regression using random numbers have generated critical values (Fmax) with which to assess significance.

journal_name

J Med Chem

journal_title

Journal of medicinal chemistry

authors

Livingstone DJ,Salt DW

doi

10.1021/jm049111p

keywords:

subject

Has Abstract

pub_date

2005-02-10 00:00:00

pages

661-3

issue

3

eissn

0022-2623

issn

1520-4804

journal_volume

48

pub_type

杂志文章

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