TY - JOUR
T1 - Modelling correlated zero-inflated count data
AU - Dobbie, Melissa J.
AU - Welsh, A. H.
PY - 2001/12
Y1 - 2001/12
N2 - This paper extends the two-component approach to modelling count data with extra zeros, considered by Mullahy (1986), Heilbron (1994) and Welsh et al. (1996), to take account of possible serial dependence between repeated observations. Generalized estimating equations (Liang & Zeger, 1986) are constructed for each component of the model by incorporating correlation matrices into each of the maximum likelihood estimating equations. The proposed method is demonstrated on weekly counts of Noisy Friarbirds (Philemon corniculatus), which were recorded by observers for the Canberra Garden Bird Survey (Hermes, 1981).
AB - This paper extends the two-component approach to modelling count data with extra zeros, considered by Mullahy (1986), Heilbron (1994) and Welsh et al. (1996), to take account of possible serial dependence between repeated observations. Generalized estimating equations (Liang & Zeger, 1986) are constructed for each component of the model by incorporating correlation matrices into each of the maximum likelihood estimating equations. The proposed method is demonstrated on weekly counts of Noisy Friarbirds (Philemon corniculatus), which were recorded by observers for the Canberra Garden Bird Survey (Hermes, 1981).
KW - Correlated data
KW - Generalized estimating equation (GEE)
KW - Marginal model
KW - Truncated Poisson distribution
KW - Zero-inflated counts
UR - http://www.scopus.com/inward/record.url?scp=0040620352&partnerID=8YFLogxK
U2 - 10.1111/1467-842X.00191
DO - 10.1111/1467-842X.00191
M3 - Article
SN - 1369-1473
VL - 43
SP - 431
EP - 444
JO - Australian and New Zealand Journal of Statistics
JF - Australian and New Zealand Journal of Statistics
IS - 4
ER -