Literature DB >> 8855478

Model-based estimation of the excess fraction (attributable fraction): day care and middle ear infection.

H Oja1, O P Alho, E Läärä.   

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.

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Year:  1996        PMID: 8855478     DOI: 10.1002/(SICI)1097-0258(19960730)15:14<1519::AID-SIM280>3.0.CO;2-5

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

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Authors:  E Arjas; A Andreev
Journal:  Lifetime Data Anal       Date:  2000-09       Impact factor: 1.588

2.  A heuristic approach to the formulas for population attributable fraction.

Authors:  J A Hanley
Journal:  J Epidemiol Community Health       Date:  2001-07       Impact factor: 3.710

3.  Acute middle ear infection in small children: a Bayesian analysis using multiple time scales.

Authors:  A Andreev; E Arjas
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

4.  Relationships between changes in HIV risk perception and condom use in East Zimbabwe 2003-2013: population-based longitudinal analyses.

Authors:  Robin Schaefer; Ranjeeta Thomas; Rufurwokuda Maswera; Noah Kadzura; Constance Nyamukapa; Simon Gregson
Journal:  BMC Public Health       Date:  2020-05-24       Impact factor: 3.295

  4 in total

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