QOL & Diabetic Retinopathy Study

QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 21, 2019 3:28 pm

This study was based on the fourth and fifth KNHANES (2008–2012) which was conducted as a national health survey in Korea that used a stratified, multistage, clustered sampling method based on 2005 National Census data to randomly select a population-based sample across 500 national districts to represent the civilian, noninstitutionalized, South Korean population, and sample design and size were estimated properly so that annual survey results could represent the whole population in Korea.
Attachments
Study Project_Daniel Hwang_DR study_20181105.docx
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Re: QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 21, 2019 3:36 pm

raw dataset (modified for SPSS analysis)
Attachments
SMLG_Hwang_QOL and DR_raw data_20190321.zip
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Re: QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 21, 2019 3:39 pm

the dataset for Banjo analysis (setting file, input file, and SPSS raw file)
Attachments
static6.settings.txt
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static6.data.txt
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SMLG_Hwang_QOL and DR_for Banjo_20190321.zip
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Re: QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 21, 2019 3:43 pm

Tables that summarize the data analyzed so far
Attachments
Tables_20190321.xlsx
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Tables_20190320_2.docx
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Re: QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 21, 2019 3:44 pm

The graph showing our Banjo results (19 variables)
Attachments
graph8.gif
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Re: QOL & Diabetic Retinopathy Study

Postby zgong001 » Thu Mar 28, 2019 10:17 am

Some r function to do Bayesian network analysis.

install.packages("bnlearn")
library(bnlearn)
data = read.table("data.txt", header = TRUE)
score(dag, data = marks, type = "loglik-g") -- get the score of the network
bnlearn::score(dag, data, type = "bge", iss = 5)

vstructs(dag) - v structure

graphviz.plot(dag2, highlight = hl2, layout = "fdp",
main = "dag2") --- plot the network

The following is some structure learning algorithm.
bn.gs = gs(data)
bn.iamb = iamb(data)
bn.iamb2 = iamb(data, test = "mc-cor")
bn.hc = hc(data)
Attachments
Bayesian Networks in R.pdf
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Re: QOL & Diabetic Retinopathy Study

Postby hallelu7 » Thu Mar 28, 2019 2:59 pm

Thank you and I'll try to run 'bnlearn'.

I attached the original raw SPSS dataset for dividing groups randomly using R.
I removed missing data for analyzing using Banjo or Bnlearn.
There are 18 variables and total n is 27837.

Best,
Duck Jin
Attachments
SMLG_Hwang_QOL and DR_raw data_28398_결측값 제외_27837 Banjo 18v.zip
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Split dataset

Postby zgong001 » Thu Apr 11, 2019 11:14 am

The attachment is split dataset.
Attachments
file4.txt
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file3.txt
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file2.txt
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file1.txt
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Re: Split dataset

Postby cwyoo » Fri Apr 12, 2019 11:19 am

zgong001 wrote:The attachment is split dataset.


Could you post how you split the dataset, e.g., what program you used with what configuration?
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