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MODEL‐BASED ESTIMATION OF THE EXCESS FRACTION (ATTRIBUTABLE FRACTION): DAY CARE AND MIDDLE EAR INFECTION
Author(s) -
OJA HANNU,
ALHO OLLI PEKKA,
LÄÄRÄ ESA
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960730)15:14<1519::aid-sim280>3.0.co;2-5
Subject(s) - statistics , fraction (chemistry) , confidence interval , cohort , covariate , otitis , autoregressive model , logistic regression , incidence (geometry) , medicine , estimation , attributable risk , cohort study , mathematics , demography , epidemiology , surgery , chemistry , geometry , organic chemistry , management , sociology , economics
Abstract The methods of adjustment for estimation of the excess fraction (EF), or attributable fraction, based on conventional and dynamic (or regressive or autoregressive) logistic regression modelling in a cohort study for a disease with recurrent episodes are considered. Throughout the paper, the computation of estimates with corresponding confidence intervals is illustrated in a cohort study associating the incidence of acute middle ear infection (acute otitis media) with type of day care in northern Finland. The incidences of at least one episode and at least three episodes as well as the total number of episodes during the first two years of life are considered. In our example, the estimates obtained from the dynamic model appear to have smaller standard errors since the dynamic model effectively utilizes the time‐dependency of the covariates.