Dataset for: Prevalence of impaired renal function in Malawi

1150 41 7170 2 32867 document 7170 MEIRU_GRF_dataset.csv text/plain 861f3ec0f32b8abd229a34826e96870ebc74d8461ec12a513ffdc93323684a2f SHA256 37 2019-09-16 13:50:05 https://datacompass.lshtm.ac.uk/id/eprint/1150/1/MEIRU_GRF_dataset.csv 1150 1 1 text/plain Dataset en staffonly datasharingagreement

MEIRU_GRF_dataset.csv

data indefinite MEIRU GRF dataset 7336 2 34638 document 7336 MEIRU_GRF_dataset_codebook.html text/html 18402f1eb398f60fe719d32df755fa4fe5419bbf9b386cd188c3087684b994cf SHA256 17439 2019-11-04 10:52:45 https://datacompass.lshtm.ac.uk/id/eprint/1150/2/MEIRU_GRF_dataset_codebook.html 1150 2 2 text/html Text en public cc_by

MEIRU_GRF_dataset_codebook.html

documentation indefinite Codebook for MEIRU GRF dataset 17280 1 95606 document 17280 indexcodes.txt text/plain ff9c2542c3e8abf9174d1ae85e9a712f3b3eb0d7d26ef028d2e892a27760ba3a SHA256 2017 2025-02-07 10:26:00 https://datacompass.lshtm.ac.uk/id/eprint/1150/3/indexcodes.txt 1150 3 3 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/7336 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/7336 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/7336 indefinite Generate index codes conversion from Text to indexcodes archive 168 disk0/00/00/11/50 2019-10-24 15:50:21 2026-01-20 11:08:29 2019-10-24 15:50:21 data_collection show Crampin Mia 0000-0002-1513-4330 TRUE 9a86162e82f7049d535da1cd46efba4f Researcher Prynn Josie TRUE fabc856832aa0635d1ed89035a2d782e London School of Hygiene & Tropical Medicine, London, United Kingdom Malawi Epidemiology and Intervention Research Unit Dataset for: Prevalence of impaired renal function in Malawi ITAA Non-communicable diseases (NCD) Impaired renal function Consult codebook for information on dataset variables and access conditions. Cross-sectional survey of impaired renal function among adults nested within a large cross-sectional survey of non-communicable diseases. Each row refers to one participant, containing variables on their answers to a questionnaire, anthropometric measures, and laboratory results. 2019-07-03 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00001150 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom Malawi Epidemiology and Intervention Research Unit SelfAdministeredQuestionnaire 2013 2016 Crampin Amelia C. Mia.Crampin@lshtm.ac.uk 0000-0002-1513-4330 TRUE 9a86162e82f7049d535da1cd46efba4f 173 NCD USK-USLM surveillance restricted London, United Kingdom Wellcome Trust Wellcome Trust Combined Protocol for Acute Malnutrition Study (ComPAS) Combined Protocol for Acute Malnutrition Study (ComPAS) Dataset Quantitative 098610/Z/12/Z Malawi -12.8862 34.5066 -13.8268 33.831 en 2017 2018 Malawi Epidemiology and Intervention Research Unit http://meiru.lshtm.ac.uk/ researchgroup Combined Protocol for Acute Malnutrition Study (ComPAS) Wellcome Trust 098610/Z/12/Z http://dx.doi.org/10.13039/100010269 Combined Protocol for Acute Malnutrition Study (ComPAS) Wellcome Trust http://dx.doi.org/10.13039/100010269 Wellcome Trust 098610/Z/12/Z Wellcome Trust 098610/B/12/A 2019-07-03