This repository contains R code used in a number of articles using the Australian Parental Supply of Alcohol Longitudinal Study (APSALS).
The overall effect of parental supply of alcohol across adolescence on alcohol-related harms in early adulthood—a prospective cohort study
Code for all analysis in the article by Clare et al published in Addiction, 2020: https://doi.org/10.1111/add.15005
| Description | R Code |
|---|---|
| A1 - Multiple imputation | Multiple imputation |
| A2 - Final data creation | Final data creation |
| A3 - LTMLE analysis of parental supply of alcohol on harms using the package 'ltmle' (1). | LTMLE analysis |
| A4 - LTMLE marginal structural model analysis of earlier initiation of supply. | LTMLE MSM analysis |
| A5 - Sensitivity analysis using naive analysis (GLMs) | Naive analysis |
| A6 - E-Value sensitivity analysis | E-value analysis |
| A7 - Secondary analysis of exposure (parental supply) beginning at age 15. | LTMLE - supply from age 15 |
| A8 - Sensitivity analysis with lagged predictors. | LTMLE - lagged predictors |
| A9 - Sensitivity analysis controlling for past obervations of outcome | LTMLE - control for past outcomes |
| A10 - Sensitivity analysis with continuous outcomes. | LTMLE - continuous outcomes |
R and Stata code for all analysis of APSALS COVID-19 alcohol data (in progress).
| Description | R/Stata Code |
|---|---|
| S1 - Multiple imputation using UNSW HPC 'Katana' | Multiple imputation |
| S2 - Final data creation | Final data creation |
| S3 - Import MI data into Stata for analysis | Stata import |
| S4 - Cross-sectional descriptives in R | Cross-sectional descriptives |
| S5 - Longitudinal descriptives in Stata | Longitudinal descriptives |
| S6 - Primary analyses using mixed effects models with discrete time | Primary analyis |
| S7 - Sensitivity analysis using continuous time and 'high risk' consumption variable | Sensitivity analysis |
- 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.