* PURPOSE1 HIV Prevention on Mon Jul 15 14:03:34 2024 - input data directory: . - results directory: . - transcript to: ./2024-07-11-hiv-prev-news.txt Building summary data: ---------------------- * PURPOSE1 data as reported: Arm N K Infp100py 1 lenacapavir 2134 0 0.00 2 Descovy 2136 39 2.02 3 Truvada 1068 16 1.69 * PURPOSE1 summary data for analysis: Arm N K 1 lenacapavir 2134 0 2 PReP 3204 55 Naive efficacy/CL vs PReP controls:: ------------------------------------ * Efficacy (%) over PReP, where 0% means comparable to PReP: LCL Eff UCL 89.53 100.00 100.00 Frequentist tests of significance and strength: ----------------------------------------------- * Significance test of proportion: - Yates correction: TRUE - Alternative: probability of infection same in both arms 2-sample test for equality of proportions with continuity correction data: c(purpose1Summary[1, 3], purpose1Summary[2, 3]) out of c(purpose1Summary[1, 2], purpose1Summary[2, 2]) X-squared = 35.349, df = 1, p-value = 2.755e-09 alternative hypothesis: two.sided 95 percent confidence interval: -0.02205396 -0.01227813 sample estimates: prop 1 prop 2 0.00000000 0.01716604 * Computing Cohen's h for strength of effect - Range of h is -pi to +pi - anything with absolute value over 0.8 is a large effect. - Result: |h| = 0.263 Plotting posterior Beta distributions for probability of infection: ------------------------------------------------------------------- * Doing Baysian posterior Beta distribution analysis. * Posterior quantiles: 0.025 0.5 0.975 lenacapavir 0.00001 0.00032 0.00173 PReP 0.01322 0.01737 0.02228 * Bayesian Beta posterior plot to ./2024-07-11-hiv-prev-news.png. * Frequentist heuristic for lenacapavir infection CL - Rule of 3: [0.0000000, 0.0014058] - Bayes: [0.0000119, 0.0017263]. * PURPOSE1 HIV Prevention completed Mon Jul 15 14:03:34 2024 (0.0 sec elapsed).