Markov chain Monte Carlo methods in biostatistics
Appropriate models in biostatistics are often quite complicated. Such models are typically
most easily fit using Bayesian methods, which can often be implemented using simulation …
most easily fit using Bayesian methods, which can often be implemented using simulation …
Markov chain Monte Carlo methods in biostatistics
A Gelman, D Rubin - 1996 - arch.neicon.ru
Appropriate models in biostatistics are often quite complicated. Such models are typically
most easily fit using Bayesian methods, which can often be implemented using simulation …
most easily fit using Bayesian methods, which can often be implemented using simulation …
Markov chain Monte Carlo methods in biostatistics.
A Gelman, DB Rubin - Statistical Methods in Medical Research, 1996 - europepmc.org
Appropriate models in biostatistics are often quite complicated. Such models are typically
most easily fit using Bayesian methods, which can often be implemented using simulation …
most easily fit using Bayesian methods, which can often be implemented using simulation …
[PDF][PDF] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - researchgate.net
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
[PDF][PDF] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - stat.columbia.edu
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
[PDF][PDF] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - Citeseer
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
[PDF][PDF] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - stat.columbia.edu
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
Markov chain Monte Carlo methods in biostatistics
A Gelman, DB Rubin - Statistical methods in medical …, 1996 - pubmed.ncbi.nlm.nih.gov
Appropriate models in biostatistics are often quite complicated. Such models are typically
most easily fit using Bayesian methods, which can often be implemented using simulation …
most easily fit using Bayesian methods, which can often be implemented using simulation …
[PS][PS] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - stat.columbia.edu
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
[PDF][PDF] Markov Chain Monte Carlo Methods in Biostatistics
A Gelman, DB Rubin - 1996 - Citeseer
Appropriate models in biostatistics are often quite complicated, re ecting longitudinal data
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …
collection, hierarchical structure on units of analysis, multivariate outcomes, and censored …