Regression analysis for correlated data

K. Y. Liang; S. L. Zeger

doi:10.1146/annurev.pu.14.050193.000355

Regression analysis for correlated data

Bloomberg School of Public Health

Research output: Contribution to journal › Review article › peer-review

Original language	English (US)
Pages (from-to)	43-68
Number of pages	26
Journal	Annual review of public health
Volume	14
DOIs	https://doi.org/10.1146/annurev.pu.14.050193.000355
State	Published - 1993

Keywords

estimating equations
marginal models
odds ratio
random effects models
transition models

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health

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10.1146/annurev.pu.14.050193.000355

Cite this

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title = "Regression analysis for correlated data",

keywords = "estimating equations, marginal models, odds ratio, random effects models, transition models",

author = "Liang, {K. Y.} and Zeger, {S. L.}",

year = "1993",

doi = "10.1146/annurev.pu.14.050193.000355",

language = "English (US)",

volume = "14",

pages = "43--68",

journal = "Annual Review of Public Health",

issn = "0163-7525",

publisher = "Annual Reviews Inc.",

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TY - JOUR

T1 - Regression analysis for correlated data

AU - Liang, K. Y.

AU - Zeger, S. L.

PY - 1993

Y1 - 1993

KW - estimating equations

KW - marginal models

KW - odds ratio

KW - random effects models

KW - transition models

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AN - SCOPUS:0027217429

VL - 14

SP - 43

EP - 68

JO - Annual Review of Public Health

JF - Annual Review of Public Health

SN - 0163-7525

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Regression analysis for correlated data

Keywords

ASJC Scopus subject areas

Access to Document

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