STATISTICAL-METHODS FOR COMPARING DENTAL DIAGNOSTIC PROCEDURES

被引：15

作者：

BERKEY, CS

DOUGLASS, CW

VALACHOVIC, RW

CHAUNCEY, HH

MCNEIL, BJ

机构：

[1] VET ADM OUTPATIENT CLIN,BOSTON,MA 02108

[2] HARVARD UNIV,SCH MED,BOSTON,MA 02115

[3] BRIGHAM & WOMENS HOSP,BOSTON,MA 02115

来源：

COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY | 1990年 / 18卷 / 04期

基金：

美国医疗保健研究与质量局;

关键词：

clinical diagnostic procedures; logistic regression; McNemar's test; regressive logistic models; repeated measures logistic regression; sensitivity; specificity;

D O I：

10.1111/j.1600-0528.1990.tb00051.x

中图分类号：

R78 [口腔科学];

学科分类号：

1003 ;

摘要：

Abstract In dental diagnosis, there are typically two or more clinical diagnostic procedures which may be used cither independently or jointly to reach a conclusion regarding the presence of a particular disease in a patient. To determine which of these diagnostic procedures are more accurate, statistical methods may be applied to research data in which the true health status as well as the diagnosis provided by each clinical procedure are available on each observation. Results arising from this type of analysis can be of great interest to clinicians when the diagnostic procedures themselves are costly, painful, or even potentially harmful to the patient. Considered here is the special situation encountered in dental research in which each patient can have multiple concurrent cases of a certain disease such as caries, for then the statistical evaluation of diagnostic procedures is even further complicated. This report describes several statistical approaches for comparing the efficacy of diagnostic tests and illustrates their application on data from a study of diagnostic radiographs for dental caries. Copyright © 1990, Wiley Blackwell. All rights reserved

引用

页码：169 / 176

页数：8

共 28 条

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