Data Collection

Williamson, E, Walker, AJ, Bhaskaran, KJ, Bacon, S, Bates, C, Morton, CE, Curtis, HJ, Mehrkar, A, Evans, D, Inglesby, P, Cockburn, J, Mcdonald, HI, MacKenna, B, Tomlinson, L, Douglas, IJ, Rentsch, CT, Mathur, R, Wong, A, Grieve, R, Harrison, D, Forbes, H, Schultze, A, Croker, RT, Parry, J, Hester, F, Harper, S, Perera, R, Evans, S, Smeeth, L and Goldacre, B (2020). opensafely/risk-factors-research. [Data Collection]. Github. https://github.com/ebmdatalab/opensafely-risk-factors-research

Leurent, B, Gomes, M, Faria, R, Morris, S, Grieve, R and Carpenter, JR (2018). Sensitivity analysis for missing data in cost-effectiveness analysis: Stata code. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6714206.v1

Langham, S, Wright, A, Kenworthy, J, Grieve, R and Dunlop, WC (2018). Cost-Effectiveness of Take-Home Naloxone for the Prevention of Overdose Fatalities among Heroin Users in the United Kingdom: Supplemental Materials. [Data Collection]. Value in Health. https://doi.org/10.1016/j.jval.2017.07.014

Diaz-ordaz, K, Kenward, M, Gomes, M and Grieve, R (2016). Multiple imputation methods for bivariate outcomes in cluster randomised trials: Supporting Information. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.99.