https://www.philipclare.com/tags/cohort/CohortSource Themes Academic (https://sourcethemes.com/academic/)en-us © Philip J Clare 2026https://www.philipclare.com/img/icon-192.pnghttps://www.philipclare.com/tags/cohort/https://www.philipclare.com/code/hilda/Mon, 01 Jan 0001 00:00:00 +0000https://www.philipclare.com/code/hilda/ <p>This repository contains R and Stata code used in articles using the HILDA cohort.</p> <h2 id="trends-in-loneliness-and-social-isolation-in-australia">Trends in loneliness and social isolation in Australia</h2> <p>Code for all analysis in the article examining trends in loneliness and social isolation in Australia (Ding et al 2025).</p> <table> <thead> <tr> <th>Description</th> <th>R Code</th> </tr> </thead> <tbody> <tr> <td>1 - Data extraction - pull relevant variables from HILDA data and combine into single dataset.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/1_Data_combine.do" target="_blank">Data extraction</a></td> </tr> <tr> <td>2 - Create summary of missing data.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/2_Missing_data.R" target="_blank">Missing data</a></td> </tr> <tr> <td>3 - Test linearity of trends.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/3_Linearity_tests.do" target="_blank">Linearity</a></td> </tr> <tr> <td>4 - Calculate observed, unadjusted prevalence.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/4_Raw_trends.do" target="_blank">Raw trends</a></td> </tr> <tr> <td>5 - Model trends in prevalence over time.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/5_Modeled_trends.do" target="_blank">Modeled trends</a></td> </tr> <tr> <td>6 - Create overall plots of prevalence.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/6_Create_plots.R" target="_blank">Create plots</a></td> </tr> <tr> <td>7 - Create plots stratified by levels of sociodemographic variables.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/7_Create_plots_by_demographics.R" target="_blank">Demographic plots</a></td> </tr> <tr> <td>8 - Calculate p-values of interaction terms.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/8_Demographic_interaction_pvalues.do" target="_blank">Interaction p-values</a></td> </tr> <tr> <td>9 - Test linearity, allowing for trend to change due to COVID.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/9_Linearity_tests_of_COVID_impact.do" target="_blank">COVID linearity</a></td> </tr> <tr> <td>10 - Model trends, allowing for trend to change due to COVID.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/10_Modeled_trends_of_COVID_impact.do" target="_blank">COVID models</a></td> </tr> <tr> <td>11 - Create plots for trends, allowing for trend to change due to COVID.</td> <td><a href="https://github.com/philipclare/HILDA/blob/master/Code/2025/11_Test_COVID_impact_figure.R" target="_blank">COVID plots</a></td> </tr> </tbody> </table>