C

Cleary, F, Nitsch, D and Prieto, D (2021). Raw data for a systematic review of statistical methodologies to evaluate progression of chronic kidney disease using electronic healthcare records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002628.

Cook, S (2024). NHLI-Respiratory-Epi/Alcohol_use_disorder_codelist. [Data Collection]. Github. https://github.com/NHLI-Respiratory-Epi/Alcohol_use_disorder_codelist

L

Ling, S (2022). supingling/CancerInDiabetes. [Data Collection]. GitHub. https://github.com/supingling/cancerindiabetes

P

Prinja, S, Brar, S, Singh, MP, Rajsekhar, K, Sachin, O, Naik, J, Singh, M, Tomar, H, Bahuguna, P and Guinness, L (2020). Online survey data for "Process evaluation of health system costing – Experience from CHSI study in India". [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0232873.s002

S

Suffel, AM (2023). Eyedeet/vaccine_methods_ehr_public/. [Data Collection]. Github. https://github.com/Eyedeet/vaccine_methods_ehr_public/

W

Walker, J, Grint, D, Strongman, H, Eggo, RM, Peppa, M, Minassian, C, Mansfield, KE, Rentsch, C, Douglas, IJ, Mathur, R, Wong, A, Quint, JK, Andrews, N, Lopez-bernal, J, Scott, A, Ramsay, M, Smeeth, L and McDonald, H (2020). UK prevalence of risk factors for severe COVID-19 disease, by age and region: point prevalence estimates in 2019 and 2014, using electronic health records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001833.