Mike G Kenward

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Diggle and Kenward (1994, Applied Statistics 43, 49-93) proposed a selection model for continuous longitudinal data subject to nonrandom dropout. It has provoked a large debate about the role for such models. The original enthusiasm was followed by skepticism about the strong but untestable assumptions on which this type of model invariably rests. Since(More)
Data are analysed from a longitudinal psychiatric study in which there are no dropouts that do not occur completely at random. A marginal proportional odds model is fitted that relates the response (severity of side effects) to various covariates. Two methods of estimation are used: generalized estimating equations (GEE) and maximum likelihood (ML). Both(More)
For orthogonal polynomials fitted to repeated measurements, a computer simulation study is used to investigate the effect of selecting higher-order coefficients as covariates in order to minimise the estimated variance of lower-order coefficients. Under the assumption that the repeated measurements have certain autoregressive covariance structures, it is(More)
OBJECTIVE To analyse the associations of selected sociodemographic and lifestyle factors with the intake of antioxidant nutrients and consumption of their main dietary sources among pregnant women. DESIGN A population-based cohort study. Dietary intake during pregnancy was assessed by a self-administered FFQ one to three months after the delivery. (More)
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