c:\ian\git\artbin\package\artbin.ado *!version 2.1.0 IW 04jan2024 c:\ian\git\artbin\package\art2bin.ado *!version 1.01 09june2022 Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.0500 power = 0.9000 delta = 0.0500 (difference) p1 = 0.0500 p2 = 0.1000 Estimated sample sizes: N = 1,242 N per group = 621 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome favourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Algorithm used 2-arm Anticipated event probabilities 0.050 0.100 Alpha 0.050 (two-sided) (taken as .025 one-sided) Power (designed) 0.900 Total sample size (calculated) 1242 Sample size per group (calculated) 621 621 Expected total number of events 93.15 Expected number of events per group 31.05 62.1 ------------------------------------------------------------------------------ Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.0500 power = 0.9500 delta = 0.0400 (difference) p1 = 0.0300 p2 = 0.0700 Estimated sample sizes: N = 1,636 N per group = 818 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome favourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Algorithm used 2-arm Anticipated event probabilities 0.030 0.070 Alpha 0.050 (two-sided) (taken as .025 one-sided) Power (designed) 0.950 Total sample size (calculated) 1636 Sample size per group (calculated) 818 818 Expected total number of events 81.8 Expected number of events per group 24.54 57.26 ------------------------------------------------------------------------------ Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.0500 power = 0.8500 delta = 0.1000 (difference) p1 = 0.1000 p2 = 0.2000 Estimated sample sizes: N = 494 N per group = 247 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome favourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Algorithm used 2-arm Anticipated event probabilities 0.100 0.200 Alpha 0.050 (two-sided) (taken as .025 one-sided) Power (designed) 0.850 Total sample size (calculated) 494 Sample size per group (calculated) 247 247 Expected total number of events 74.1 Expected number of events per group 24.7 49.4 ------------------------------------------------------------------------------ Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.0250 power = 0.8000 delta = -0.0900 (difference) p1 = 0.1000 p2 = 0.0100 Estimated sample sizes: N = 286 N per group = 143 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome unfavourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Algorithm used 2-arm Anticipated event probabilities 0.100 0.010 Alpha 0.025 (two-sided) (taken as .0125 one-sided) Power (designed) 0.800 Total sample size (calculated) 286 Sample size per group (calculated) 143 143 Expected total number of events 15.73 Expected number of events per group 14.3 1.43 ------------------------------------------------------------------------------ Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.1000 power = 0.9000 delta = 0.0500 (difference) p1 = 0.1500 p2 = 0.2000 Estimated sample sizes: N = 2,054 N per group = 1,027 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome favourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Algorithm used 2-arm Anticipated event probabilities 0.150 0.200 Alpha 0.100 (two-sided) (taken as .05 one-sided) Power (designed) 0.900 Total sample size (calculated) 2054 Sample size per group (calculated) 1027 1027 Expected total number of events 359.45 Expected number of events per group 154.05 205.4 ------------------------------------------------------------------------------ Performing iteration ... Estimated sample sizes for a two-sample proportions test Pearson's chi-squared test H0: p2 = p1 versus Ha: p2 != p1 Study parameters: alpha = 0.0500 power = 0.9000 delta = -0.2000 (difference) p1 = 0.3000 p2 = 0.1000 Estimated sample sizes: N = 184 N per group = 92 ART - ANALYSIS OF RESOURCES FOR TRIALS (binary version 2.1.0 04jan2024) ------------------------------------------------------------------------------ A sample size program by Abdel Babiker, Patrick Royston, Friederike Barthel, Ella Marley-Zagar and Ian White MRC Clinical Trials Unit at UCL, London WC1V 6LJ, UK. ------------------------------------------------------------------------------ Type of trial superiority Number of groups 2 Favourable/unfavourable outcome unfavourable Inferred by the program Allocation ratio equal group sizes Statistical test assumed unconditional comparison of 2 binomial proportions using the score test Local or distant distant Continuity correction yes Anticipated event probabilities 0.300 0.100 Alpha 0.050 (two-sided) (taken as .025 one-sided) Power (designed) 0.900 Total sample size (calculated) 184 Sample size per group (calculated) 92 92 Expected total number of events 36.8 Expected number of events per group 27.6 9.2 ------------------------------------------------------------------------------ ************************************************************* *** ARTBIN HAS PASSED ALL SOFTWARE TESTING POINT 3 ********** *************************************************************