基本事件分析相关WinBUGS代码与数据_算法理论_科研数据集

基本事件分析相关WinBUGS代码与数据(WinBUGS code and data to reproduce some base case analysis)
数据摘要：
This directory contains the WinBUGS 1.4 code and data to reproduce the base case analysis presented in the paper.
中文关键词：
算法,统计,WinBUGSc代码,事件,分析,
英文关键词：
algorithm,statistic,WinBUGSc code,case,analysis,
数据格式：
TEXT
数据用途：
design of the algorithm
数据详细介绍：
WinBUGS code and data to reproduce some base case analysis
Data set information:
This directory contains the WinBUGS 1.4 code and data to reproduce the base case analysis presented in the paper.
BUGS model code---------------
Model code: agepw_model.txt
Data files: icd-dat-age-mn-complete.txt, icd_ce_nice_data.txt
Initial values: agepw_mn_complete_inits.txt
Script: agepw_script.txt. The file paths in this script should be edited to match the place where you put the model, data and initial values.
WBDev-----------
The model code contains a new BUGS function, CE(), for calculating the expected cost and effectiveness from a Markov model in terms of multinomial logistic regression parameters (baseline log odds for the state on the next day, and log odds ratios for covariates governing the transition probabilities).
This allows the complex matrix multiplications involved in the
cost-effectiveness calculation to be performed very quickly, compared with writing them in BUGS model code.
To use this new function, you must first install the WBDev interface, available from the WinBUGS Development site,
, and the Blackbox programming environment. This allows users to write new logical functions and univariate distributions for use in BUGS model code.
Then place CE.txt, CEUtils.txt into the WBDev/Mod directory under the WinBUGS installation directory, usually c:/Program Files/WinBUGS14, and place Functions.txt into WBDev/Rsrc.
Open all three of these files in Blackbox and save in Document (.odc) format in the same locations. Compile the files CE and CEUtils as instructed in the WBDev manual (menu Tools->Compile) and restart WinBUGS.
Source:
Christopher H. Jackson
Medical Research Council Biostatistics Unit
Institute of Public Health
Forvie Site
Robinson Way
Cambridge
CB2 0SR
UK
Relevant Papers:
Structure and parameter uncertainty in Bayesian cost-effectiveness models, by C. H. Jackson et al., pages 233–253;
数据预览：
点此下载完整数据集。