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ZAF-UCTFHS-CADOLD-2019-2021
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variable [V12]
Accuracy of computer aided detection of occupational lung disease, Silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines
South Africa
,
2019 - 2021
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Reference ID
zaf-uctfhs-cadold-2019-2021
Producer(s)
Rodney Ehrlich, Stephen Barker, Jim te Water Naude, David Rees, Barry Kistnasamy, Julian Naidoo, Annalee Yassi
Collections
African Research Replication and Reproducibility Data
Metadata
Documentation in PDF
DDI/XML
JSON
Created on
Mar 25, 2022
Last modified
Mar 28, 2022
Page views
3987
Downloads
129
Study Description
Data Description
Downloads
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Data files
cadold-2019-2021
(TB__possible__probable_or_defini)
Data file:
cadold-2019-2021
Overview
Valid:
1002
Invalid:
-
Minimum:
-
Maximum:
1
Mean:
0.476
Standard deviation:
0.5
Type:
Discrete
Range:
-
Format:
Numeric
Questions and instructions
Categories
Value
Category
1
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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