Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models

被引：10

作者：

Vangeneugden, Tony ^{[1
,2
]}

Molenberghs, Geert ^{[2
,3
]}

Laenen, Annouschka ^{[2
]}

Geys, Helena ^{[2
,4
]}

Beunckens, Caroline ^{[2
]}

Sotto, Cristina ^{[2
,5
]}

机构：

[1] Johnson & Johnson, Tibotec, Mechelen, Belgium

[2] Hasselt Univ, Diepenbeek, Belgium

[3] Katholieke Univ Leuven, Leuven, Belgium

[4] Johnson & Johnson, Janssen Pharmaceut, Beerse, Belgium

[5] Univ Philippines, Sch Stat, Quezon City 1101, Philippines

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2010年 / 39卷 / 19期

关键词：

Binary data; Intraclass correlation; Random effects; Reliability; Variances; NEGATIVE SYNDROME SCALE; CLINICAL-TRIAL DATA; PARALLEL-GROUP; DOUBLE-BLIND; RELIABILITY; SCHIZOPHRENIA; RISPERIDONE; VALIDITY; PANSS;

D O I：

10.1080/03610920903249568

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable.

引用

页码：3540 / 3557

页数：18

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