We consider the efficient estimation of a regression parameter in a partially linear additive nonparametric regression model from repeated measures data when the covariates are multivariate. To date, while there is some literature in the scalar covariate case, the problem has not been addressed in the multivariate additive model case. Ours represents a first contribution in this direction. As p...

BACKGROUND Globally, the reduction of stillbirths is a high priority, especially in view of the targets set by the Millennium Development Goals. It is crucial that health policy-makers and programme managers are aware of the epidemiology of stillbirths. OBJECTIVES This was a case-control study conducted in Kassala hospital in Eastern Sudan to investigate the prevalence and risk factors for st...

Motivated by an example in nutritional epidemiology, we investigate some design and analysis aspects of linear measurement error models with missing surrogate data. The specific problem investigated consists of an initial large sample in which the response (a food frequency questionnaire, FFQ) is observed and then a smaller calibration study in which replicates of the error prone predictor are ...