Zobrazeno 1 - 10
of 35
pro vyhledávání: '"W R Gilks"'
Publikováno v:
Theoretical and Applied Genetics. 125:1393-1402
This paper develops a simple diagnostic for the investigation of uncertainty within genetic linkage maps using a Bayesian procedure. The method requires only the genotyping data and the proposed genetic map, and calculates the posterior probability f
Publikováno v:
Psychological Medicine. 27:847-860
Background. Reliable prevalence and risk estimation of psychiatric disorder is a cornerstone to achieving objectives in public health psychiatry. Research strategies have increasingly depended, therefore, upon the progressive evolution and refinement
Publikováno v:
Statistics and Computing. 6:337-346
Bayesian random effects models may be fitted using Gibbs sampling, but the Gibbs sampler can be slow mixing due to what might be regarded as lack of model identifiability. This slow mixing substantially increases the number of iterations required dur
Publikováno v:
Anaesthesia. 45:911-915
Summary Sixty patients who presented for day-case dilatation and curettage were allocated randomly to receive either thiopentone or propofol for induction and maintenance of anaesthesia. One anaesthetist administered all the anaesthetics whilst all a
Autor:
W. R. Gilks
Publikováno v:
Encyclopedia of Biostatistics
Markov chain Monte Carlo (MCMC) is a technique for estimating by simulation the expectation of a statistic in a complex model. Successive random selections form a Markov chain, the stationary distribution of which is the target distribution. It is pa
Publikováno v:
Psychological medicine. 27(4)
Background. In recent years diagnostic practice in psychiatry has become increasingly structured in an attempt to standardize definitions of disorders and improve reliability. At the same time there has been an increasing recognition of the need to t
Publikováno v:
Statistics in medicine. 16(7)
We describe Bayesian hierarchical-spatial models for disease mapping with imprecisely observed ecological covariates. We posit smoothing priors for both the disease submodel and the covariate submodel. We apply the models to an analysis of insulin De
Publikováno v:
Psychological medicine. 26(6)
Publikováno v:
Statist. Sci. 10, no. 1 (1995), 49-51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90bece78b72151dc9197b488e205e436
http://projecteuclid.org/euclid.ss/1177010127
http://projecteuclid.org/euclid.ss/1177010127
Publikováno v:
Biometrics. 49(2)
Analysis of longitudinal studies is often complicated through differences amongst individuals in the number and spacing of observations. Laird and Ware (1982, Biometrics 38, 963-974) proposed a linear random-effects model to deal with this problem. W