Data Collection

Bartlett, J and Keogh, R (2017). smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=smcfcs

Keogh, R (2018). MI-CC. [Data Collection]. Github. https://github.com/ruthkeogh/MI-CC

Keogh, R (2018). MI-TVE. [Data Collection]. Github. https://github.com/ruthkeogh/MI-TVE

Leurent, B, Gomes, M, Cro, S, Wiles, N and Carpenter, JR (2019). CEmimix Stata do-file - First version. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8168021.v1

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

Quartagno, M and Carpenter, J (2016). jomo: Multilevel Joint Modelling Multiple Imputation. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=jomo

Tackney, MS, Cook, DG, Stahl, D, Ismail, K, Williamson, E and Carpenter, J (2021). Additional file 1 of A framework for handling missing accelerometer outcome data in trials. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14738652.v1