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Using ordinal logistic regression to estimate the likelihood of colorectal neoplasia.

Abstract：

:The utility of ordinal logistic regression in the prediction of colorectal neoplasia was demonstrated in a group of 461 consecutive patients undergoing colonoscopy in a community practice. One hundred twenty-nine patients had adenomatous polyps and 34 had colorectal adenocarcinoma. An ordinal logistic regression model developed in a random subset (292 patients) identified five predictors of colorectal neoplasia. Colorectal neoplasia risk could be predicted using the patient's age, sex, hematocrit, fecal occult blood test result and indication for colonoscopy. The risk of colorectal neoplasia in the remaining subset of patients (169) could be reliably estimated from the model. Ordinal logistic regression analysis in this select group of patients can accurately estimate the likelihood of colorectal neoplasia. Because the generalizability of our findings are unknown, the model should not be applied to other patients. However, application of this technique to an unselected group of patients not already referred for colonoscopy could provide unbiased estimates of colorectal neoplasia risk in individual patients.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Brazer SR,Pancotto FS,Long TT 3rd,Harrell FE Jr,Lee KL,Tyor MP,Pryor DB

doi

10.1016/0895-4356(91)90159-7

subject

Has Abstract

pub_date

1991-01-01 00:00:00

pages

1263-70

issue

11

eissn

0895-4356

issn

1878-5921

pii

0895-4356(91)90159-7

journal_volume

44

pub_type

杂志文章

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