Supporting materials
Recommended reading
- Aslett (2020). RStudio Server Amazon Machine Image (AMI). https://www.louisaslett.com/RStudio_AMI/
- Bann D, Wright L, Hardy R, Williams DM, Davies NM (2022) Polygenic and socioeconomic risk for high body mass index: 69 years of follow-up across life. PLOS Genetics 18(7): e1010233. https://doi.org/10.1371/journal.pgen.1010233
- Bann, D., Wright, L., Goisis, A. et al. Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions. Discov Soc Sci Health 2, 18 (2022). https://doi.org/10.1007/s44155-022-00021-1
- Ioannidis, J. P. A. (2016) Exposure-wide epidemiology: revisiting Bradford Hill. Statist. Med., 35: 1749–1762. DOI: 10.1002/sim.6825.
- Leurent, B., Gomes, M., Faria, R. et al. Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial. PharmacoEconomics 36, 889–901 (2018). https://doi.org/10.1007/s40273-018-0650-5
- Masur and Scharkow (2020). specr: Conducting and Visualizing Specification Curve Analyses. https://cran.r-project.org/web/packages/specr/index.html
- Simonsohn, U., Simmons, J.P. & Nelson, L.D. Specification curve analysis. Nat Hum Behav 4, 1208–1214 (2020). https://doi.org/10.1038/s41562-020-0912-z
- Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing Transparency Through a Multiverse Analysis. Perspectives on Psychological Science, 11(5), 702-712. https://doi.org/10.1177/1745691616658637
- VanderWeele, Tyler J. Outcome-wide Epidemiology. Epidemiology 28(3):p 399-402, May 2017. https://doi.org/10.1097/EDE.0000000000000641
- Wickham and Grolemund (2017). R4DS. https://r4ds.had.co.nz/functions.html?q=require#introduction-12
- Wright, L. (2023) Many Models in R: A Tutorial. SocArXiv. https://doi.org/10.31235/osf.io/azvs4