ARKconsortium/iohexol_mGFR_eGFR
Fabian, J, Kalyesubula, R
, Mkandawire, J, Hansen, C, Nitsch, D, Musenge, E, Nakanga, WP, Prynn, JE, Dreyer, G, Snyman, T, Ssebunnya, B, Ramsay, M, Smeeth, L, Tollman, S, Naicker, S, Crampin, AC, Newton, R, George, JA and Tomlinson, LA
(2022).
ARKconsortium/iohexol_mGFR_eGFR.
[Dataset].
Github.
https://github.com/ARKconsortium/iohexol_mGFR_eGFR
, Mkandawire, J, Hansen, C, Nitsch, D, Musenge, E, Nakanga, WP, Prynn, JE, Dreyer, G, Snyman, T, Ssebunnya, B, Ramsay, M, Smeeth, L, Tollman, S, Naicker, S, Crampin, AC, Newton, R, George, JA and Tomlinson, LA
(2022).
ARKconsortium/iohexol_mGFR_eGFR.
[Dataset].
Github.
https://github.com/ARKconsortium/iohexol_mGFR_eGFR
The African Research on Kidney Disease (ARK) Consortium has made available a standardised set of relevant data from the Malawi, South Africa, and Uganda study sites. The dataset includes deidentified individual participant data related to estimated and measured glomerular filtration rate (GFR), with accompanying analytic code used for development of the creatinine-based GFR-estimating equation.
Keywords
Glomerular filtration rate| Item Type | Dataset |
|---|---|
| Capture method | Unknown |
| Date | 21 June 2022 |
| Language(s) of written materials | English |
| Creator(s) |
Fabian, J, Kalyesubula, R, Mkandawire, J, Hansen, C, Nitsch, D, Musenge, E, Nakanga, WP, Prynn, JE, Dreyer, G, Snyman, T, Ssebunnya, B, Ramsay, M, Smeeth, L, Tollman, S, Naicker, S, Crampin, AC, Newton, R, George, JA and Tomlinson, LA
|
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) MRC/UVRI and LSHTM Uganda Research Unit |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 13 Jul 2022 13:58 |
| Last Modified | 17 Aug 2022 09:58 |
| Publisher | Github |
No files available. Please consult associated links.
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