The association between alcohol use and pain in people with chronic non-cancer pain prescribed pharmaceutical opioids – a prospective cohort study. This repository contains R code used in the TMLE analysis of POINT data on the effect of alcohol exposure on chronic pain, by Clare et al. 2019
| Description | Github R code | Download R code |
|---|---|---|
| P1 - Multiple imputation | Multiple imputation code | Download code |
| P2 - Longitudinal sample descriptives (article Table 2) | Longitudinal descriptives code | Download code |
| P3 - LTMLE primary analysis of alcohol consumption on pain using the package ‘ltmle’ (1). | LTMLE analysis code | Download code |
| P4 - LTMLE sensitivity analysis excluding those who used alcohol to cope with their pain | LTMLE sensitivity analysis code | Download code |
| P5 - E-Value sensitivity analysis (2) | E-value analysis code | Download code |
- Lendle SD, Schwab J, Petersen ML, van der Laan MJ. ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data. Journal of Statistical Software. 2017;81(1):1-21.
- VanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Annals of Internal Medicine. 2017;167(4):268-274. J, Petersen ML, van der Laan MJ. ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data. Journal of Statistical Software. 2017;81(1):1-21.
Dr. Philip J Clare, PhD
Biostatistician at the Prevention Research Collaboration, University of Sydney.