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 **********
*************************************************************