信号Tandmobiel研究数据(Singal Tand mobiel Dataset)_算法理论_科研数据集
信号Tandmobiel研究数据(Singal Tand mobiel
Dataset)
数据摘要:
This is the data of the first year of the longitudinal Signal Tandmobiel? study (1996-2001) on Oral Health. There were 4468 children involved in the study, and 81 variables were recorded in total. In the paper, the dataset is referred to as the main or cross-sectional dental study.
中文关键词:
算法,统计,信号,Tandmobiel研究,
英文关键词:
algorithm,statistic,singal,Tandmobiel study,
数据格式:
TEXT
数据用途:
design of the algorithm
数据详细介绍:
Singal Tandmobiel Dataset
DESCRIPTION OF THE DATASET
A) THE SIGNAL TANDMOBIEL?DATASET
This is the data of the first year of the longitudinal Signal Tandmobiel? study (1996-2001) on Oral Health. There were 4468 children involved in the study, and 81 variables were recorded in total. In the paper, the dataset is referred to as the main or cross-sectional dental study.
Response: dmft, which is the sum of the number of decayed (d), missing due to caries (m) and filled (f) teeth in primary denition. Its values range from 0 to 20. The response is split according into:-
1 if dmft =0
2 if dmft =1
3 if 1 4 if 4 Covariates:the following covariates were of interest:- - xcen,ycen: the tandardized form of the (x,y) coordinate of the municipality of the school to which the child belongs. - age : the age of the children in years - gender : the gender of the children, coded 0(boy) and 1 (girl) - examiner : coded 1:16 for the 16 examiners, and 17 for the old standard - schocode : an index of the schools to which the child belongs. B) CALIBRATION DATASET This is a validation data set containing information about the score for each of the 16 examiners against the gold standard. These data are 4 by 4 matrices for each examiner, with the columns (1-4) representing the gold standard score and the rows (1-4) corresponding to examiner's score. DESCRIPTION OF THE PROGRAM A WinBugs program was written to perform the analysis of the Bayesian ordinal logistic regression model to correct for Inter-observer Measurement Error. The program is split into two parts: - Main Data Model : Sampling a Markov chain pertaining to the regression parameters using correction term sampled from the calibration model - Calibration Data Model: A Markov chain Sampling the correction terms using the calibration data NOTE: these two two Markov chains are processed in sequential manner, by the use of the 'cut' option in WinBUGS. 数据预览: 点此下载完整数据集