A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series

Mathematics and Statistics

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series. / Crouchley, R; Davies, R B.
In: Statistical Modelling, Vol. 1, 2001, p. 271-285.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{4d837ca9f0e14b5a96e73a0a1f89246a,

title = "A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series",

author = "R Crouchley and Davies, {R B}",

year = "2001",

language = "English",

volume = "1",

pages = "271--285",

journal = "Statistical Modelling",

issn = "1471-082X",

publisher = "SAGE Publications Ltd",

}

RIS

TY - JOUR

T1 - A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series

AU - Crouchley, R

AU - Davies, R B

PY - 2001

Y1 - 2001

M3 - Journal article

VL - 1

SP - 271

EP - 285

JO - Statistical Modelling

JF - Statistical Modelling

SN - 1471-082X

ER -

Research