EVALUATION OF STATISTICAL-METHODS FOR MONITORING PERIODONTAL-DISEASE

被引：13

作者：

YANG, MCK

MARKS, RG

CLARK, WB

MAGNUSSON, I

机构：

[1] Division of Biostatistics, Department of Statistics, University of Florida, Gainesville, Florida, 32611

[2] Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, Florida

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 07期

关键词：

D O I：

10.1002/sim.4780100709

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Three methods for detecting the progression of periodontal disease based on the change in attachment level on teeth are compared from a statistical point of view. Regardless of gradual or burst disease progression theories, the regression method is found to be the most efficient way to detect changes. The exact false alarm rate is computed when the decision is based on the maximum regression coefficient at all sites during several visits.

引用

页码：1089 / 1097

页数：9

共 19 条

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