https://stataid-research-lab.r-universe.devRecent package updates in stataid-research-labR-universehttps://github.com/stataid-research-lab.pnghttps://stataid-research-lab.r-universe.devMon, 12 Oct 2026 18:07:15 GMTsujonsgc@gmail.com (Sujon Mia)Design-based analysis of population health survey data from the World Health Organization (WHO) Stepwise Approach to Non-Communicable Disease (NCD) Risk Factor Surveillance (STEPS), Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and similar complex sample surveys, where chronic conditions are self-reported rather than coded with the International Classification of Diseases (ICD). Provides survey design constructors for DHS, MICS and STEPS microdata; design-based prevalence for any binary indicators and groupings; a self-reported multimorbidity count based on the Functional Comorbidity Index (FCI) of Groll et al. (2005) <doi:10.1016/j.jclinepi.2004.10.018>, with condition-pattern analysis, sensitivity bounds for missing answers, and direct age standardisation to the WHO World Standard Population; standard, generalized, Erreygers and Wagstaff concentration indices with design-based standard errors following Kakwani, Wagstaff and van Doorslaer (1997) <doi:10.1016/S0304-4076(96)01807-6> and O'Donnell et al. (2016) <doi:10.1177/1536867X1601600112>, concentration curves, and slope and relative indices of inequality; categorisation of DHS-coded child growth z-scores; publication-ready tables and plots. Simulated example data with a known population are included. Experimental helpers for choropleth maps and case-weighted gradient boosting with SHapley Additive exPlanations (SHAP) are also provided.https://github.com/r-universe/stataid-research-lab/actions/runs/38321433683Mon, 12 Oct 2026 18:07:15 GMTSurveyNCD0.2.0successhttps://stataid-research-lab.r-universe.devhttps://github.com/stataid-research-lab/surveyncdfull-workflow.Rmdfull-workflow.htmlA complete analysis with SurveyNCD2026-10-10 06:56:312026-10-10 06:56:31calculating-health-inequality.Rmdcalculating-health-inequality.htmlCalculating Health Inequality in Complex Surveys2026-06-21 14:41:112026-07-04 15:55:03mapping-survey-indicators.Rmdmapping-survey-indicators.htmlGeospatial Mapping of Health Inequalities2026-06-21 14:41:112026-07-04 15:55:03real-data-nhanes.Rmdreal-data-nhanes.htmlReal data: high cholesterol in NHANES 2009-20102026-10-10 06:56:312026-10-10 06:56:31