A methodology for analyzing general categorical data with misclassification errors with an application in studying seat belt effectiveness. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Driver visibility quality: comparison of visibility quality meter data with human visual performance. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Villa Agrippa Posthumus, cubiculum nocturnum, north wall, center panel, Aedicula with a small landscape

Boscotrecase, Italy; fresco on black ground

Villa Agrippa Posthumus, cubiculum nocturnum, north wall, center panel, Aedicula with a small landscape: detail of the landscape

Boscotrecase, Italy; fresco on black ground

Summary of predictions and comparison with observed effects of Gnome on public safety : preliminary report /

"Project Gnome, Carlsbad, New Mexico, December 10, 1961."

A guide to collecting, describing, and summarizing price data, with particular reference to historical series of local market prices.

At head of title: United States Department of Agriculture, Bureau of Agricultural Economics.

Vitamin B; recent nutritional and clinical data with a brief review of the chronology, chemistry, pharmacy and occurrence of the vitamin in nature.

References.

The climate of Great Britain; or, Remarks on the change it has undergone, particularly within the last fifty years, accounting for the increasing humidity and consequent cloudiness and coldness of our springs and summers, with the effects such ungenial seasons have produced upon the vegetable and animal economy, including various experiments to ascertain the causes of such change ...

Mode of access: Internet.

Finite mixture regression model with random effects: application to neonatal hospital length of stay

A two-component mixture regression model that allows simultaneously for heterogeneity and dependency among observations is proposed. By specifying random effects explicitly in the linear predictor of the mixture probability and the mixture components, parameter estimation is achieved by maximising the corresponding best linear unbiased prediction type log-likelihood. Approximate residual maximum likelihood estimates are obtained via an EM algorithm in the manner of generalised linear mixed model (GLMM). The method can be extended to a g-component mixture regression model with the component density from the exponential family, leading to the development of the class of finite mixture GLMM. For illustration, the method is applied to analyse neonatal length of stay (LOS). It is shown that identification of pertinent factors that influence hospital LOS can provide important information for health care planning and resource allocation. (C) 2002 Elsevier Science B.V. All rights reserved.