https://drpakhare.r-universe.devRecent package updates in drpakhareR-universehttps://github.com/drpakhare.pnghttps://drpakhare.r-universe.devMon, 15 Jun 2026 08:54:39 GMTdrpakhare@gmail.com (Abhijit Pakhare)An interactive 'shiny' application for Health Technology Assessment (HTA) parameter estimation. Converts between rates, probabilities, odds, and hazard ratios (HR); extrapolates survival curves (Exponential, Weibull, Log-Logistic); fits probabilistic sensitivity analysis (PSA) distributions (Beta, Gamma, LogNormal, Dirichlet) via the method of moments; calculates incremental cost-effectiveness ratios (ICERs), net monetary benefit (NMB), value-based pricing, and budget impact; adjusts costs for inflation, discounting, and purchasing power parity (PPP) across 30 countries; and adjusts background mortality using life-table methods. Designed for researchers building cost-effectiveness and budget-impact models who need auditable, formula-documented parameter transformations. Methods include Zhang and Yu (1998) <doi:10.1001/jama.280.19.1690> for odds ratio (OR) to relative risk (RR) conversion and Chinn (2000, Statistics in Medicine, 19, 3127-3131) for effect-size transformations.https://github.com/r-universe/drpakhare/actions/runs/27538612977Mon, 15 Jun 2026 08:54:39 GMTParCC1.4.0successhttps://drpakhare.r-universe.devhttps://github.com/drpakhare/parccbackground-mortality.Rmdbackground-mortality.htmlBackground Mortality Adjustments2026-03-21 00:24:122026-03-21 07:28:07batch-workflow.Rmdbatch-workflow.htmlBatch Conversion Workflow2026-03-21 00:24:122026-03-21 07:28:07budget-impact-analysis.Rmdbudget-impact-analysis.htmlBudget Impact Analysis2026-03-21 07:18:022026-03-21 07:28:07core-conversions.Rmdcore-conversions.htmlCore Conversions: Rates, Odds, and Time Rescaling2026-03-21 00:24:122026-03-21 07:28:07dirichlet-loglogistic.Rmddirichlet-loglogistic.htmlDirichlet Distribution & Log-Logistic Survival2026-03-21 07:18:022026-03-21 07:28:07economic-evaluation.Rmdeconomic-evaluation.htmlEconomic Evaluation: ICER, NMB, and Value-Based Pricing2026-03-21 00:24:122026-03-21 07:28:07getting-started.Rmdgetting-started.htmlGetting Started with ParCC2026-03-21 00:24:122026-03-21 07:28:07hr-probability-converter.Rmdhr-probability-converter.htmlHR-Based Probability Converter2026-03-21 00:24:122026-03-21 00:24:12nnt-logrank-hr.Rmdnnt-logrank-hr.htmlNNT/NNH Calculator & Log-rank to Hazard Ratio2026-03-21 07:18:022026-03-21 07:28:07or-rr-effect-sizes.Rmdor-rr-effect-sizes.htmlOR <-> RR Conversion & Effect Size Transformations2026-03-21 07:18:022026-03-21 07:28:07psa-distributions.Rmdpsa-distributions.htmlParameterizing Distributions for PSA2026-03-21 00:24:122026-03-21 07:28:07Tutorial.RmdTutorial.htmlParCC Tutorial Index2025-12-05 21:02:232026-03-21 07:28:07ppp-converter.Rmdppp-converter.htmlPPP Currency Conversion & WTP Thresholds2026-03-21 07:18:022026-03-21 07:28:07survival-extrapolation.Rmdsurvival-extrapolation.htmlSurvival Extrapolation from Published Curves2026-03-21 00:24:122026-03-21 07:28:07abhijit.cfm@aiimsbhopal.edu.in (Abhijit Pakhare)Provides a complete analysis pipeline for the WHO STEPwise Approach to NCD Risk Factor Surveillance (STEPS) as described in Riley et al. (2016) <doi:10.2105/AJPH.2015.302962>. Imports raw survey data ('CSV', 'Excel', 'Stata', 'SPSS'), applies WHO-standard cleaning and recoding, sets up complex survey designs, computes all standard NCD indicators (tobacco, alcohol, diet, physical activity, anthropometry, blood pressure, biochemical), and generates publication-ready tables, visualisations, and 'Word'/'HTML' reports (fact sheet, data book, country report).https://github.com/r-universe/drpakhare/actions/runs/27330821786Wed, 06 May 2026 04:09:23 GMTstepssurvey0.1.0successhttps://drpakhare.r-universe.devhttps://github.com/drpakhare/stepssurveystepssurvey-guide.Rmdstepssurvey-guide.htmlAnalysing WHO STEPS Survey Data with stepssurvey2026-04-06 12:29:382026-05-06 00:41:03shiny-walkthrough.Rmdshiny-walkthrough.htmlInteractive Analysis with the Shiny App2026-04-06 12:29:382026-04-06 12:29:38data-preparation.Rmddata-preparation.htmlPreparing STEPS Data for Analysis2026-04-06 12:29:382026-05-06 00:34:25validation.Rmdvalidation.htmlValidation Against WHO Official Fact Sheets2026-04-30 12:17:142026-05-06 00:34:25