WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling while Stata has no routines for Bayesian analysis, and as a result there is a lot to be gained by running Stata and WinBUGS in combination. A set of ado files are presented that enable data to be processed in Stata, passed to WinBUGS for model fitting and the results read bac...

Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data. WinBUGS compensates for missing data using multiple imputation, and is able to incorporate longitudinal structure using random effects. We demonstrate the superiority of longitudinal imputation over cross-sectional imput...

WinBUGS is a fully extensible modular framework for constructing and analysing Bayesian full probability models. Models may be specified either textually via the BUGS language or pictorially using a graphical interface called DoodleBUGS. WinBUGS processes the model specification and constructs an object-oriented representation of the model. The software offers a user-interface, based on dialogu...

xxx • Network meta-analysis (NMA) of clinical trial outcomes is usually based on Bayesian statistics and hence requires software for Monte Carlo Markov chain (MCMC) sampling. • The most common choice of software for NMA is currently WinBUGS, in part because there is a large body of WinBUGS code for NMA in the literature. • However, WinBUGS can be slow and difficult to use – the error messages a...

The course shows the use of mathematical modeling in biological sciences. A variety of modeling techniques are Adler, Modeling the Dynamics of Life,. Computer networks are inherently social networks, linking people, organizations of computer networks has facilitated a deemphasis on group solidarities at. Bayesian Hierarchical Modelling using WinBUGS. Nicky Best, Alexina Mason and Philip Li. Sho...