Cleary, F, Prieto-Merino, D and Nitsch, D. 2022. A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet. [Online]. PLOS ONE. Available from: https://doi.org/10.1371/journal.pone.0264167.s008
Cleary, F, Prieto-Merino, D and Nitsch, D. A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet [Internet]. PLOS ONE; 2022. Available from: https://doi.org/10.1371/journal.pone.0264167.s008
Cleary, F, Prieto-Merino, D and Nitsch, D (2022). A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264167.s008
Description
Data extraction spreadsheet associated with "A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records".
| Data capture method | Compilation/Synthesis, Summary |
|---|---|
| Date (Date published in a 3rd party system) | 29 July 2022 |
| Language(s) of written materials | English |
| Data Creators | Cleary, F, Prieto-Merino, D and Nitsch, D |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 22 Aug 2022 08:37 |
|---|---|
| Last Modified | 22 Aug 2022 08:37 |
| Publisher | PLOS ONE |
