operatingChar: Evaluates Operating Characteristics for Adaptive...
In github-js/agseDesign: Evaluating Operating Characteristics for Adaptive Group-Sequential Design with Population Enrichment
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/operatingChar.R
Description
Evaluates Operating Characteristics for Adaptive Group-Sequential Design with Population Enrichment in Phase 3 Randomized Controlled Trials with Co-primary Endpoints
Usage
1
Arguments
alpha
Type 1 error rate
information.fraction
Information fraction
th1
theta1
th2
theta2
f1
Group 1 proportion
Value
Stage1.OC
Stage 1 operating charactistics
Stage2.OC
Stage 2 operating charactistics
Overall.OC
Overall operating charactistics
Author(s)
Jaejoon Song, Arup K Sinha
Examples
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library(agseDesign)
set.seed(123)
# Evaluating operating characteristics for theta = (0,0,0,0) scenario
d_0_0_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(0,0))
d_0_0_0_0
## Not run:
# Evaluating operating characteristics for theta = (0,0,1,0) scenario
d_0_0_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(1,0))
d_0_0_1_0
# Evaluating operating characteristics for theta = (0,0,0,1) scenario
d_0_0_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(0,1))
d_0_0_0_1
# Evaluating operating characteristics for theta = (1,0,0,0) scenario
d_1_0_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,0),
th2=c(0,0))
d_1_0_0_0
# Evaluating operating characteristics for theta = (0,1,0,0) scenario
d_0_1_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,1),
th2=c(0,0))
d_0_1_0_0
# Evaluating operating characteristics for theta = (1,1,0,0) scenario
d_1_1_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(0,0))
d_1_1_0_0
# Evaluating operating characteristics for theta = (1,1,1,0) scenario
d_1_1_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(1,0))
d_1_1_1_0
# Evaluating operating characteristics for theta = (1,1,0,1) scenario
d_1_1_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(0,1))
d_1_1_0_1
# Evaluating operating characteristics for theta = (1,0,1,0) scenario
d_1_0_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,0),
th2=c(1,0))
d_1_0_1_0
# Evaluating operating characteristics for theta = (1,1,1,1) scenario
d_1_1_1_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(1,1))
d_1_1_1_1
# Evaluating operating characteristics for theta = (2,2,0,0) scenario
d_2_2_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(0,0))
d_2_2_0_0
# Evaluating operating characteristics for theta = (2,2,1,0) scenario
d_2_2_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(0,1))
d_2_2_0_1
# Evaluating operating characteristics for theta = (2,2,1,0) scenario
d_2_2_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(1,0))
d_2_2_1_0
options(scipen=999)
manuscriptTable2 <- data.frame(rbind(
c(d_0_0_0_0$effect.size, round(d_0_0_0_0$Overall.OC,4)),
c(d_0_0_1_0$effect.size, round(d_0_0_1_0$Overall.OC,4)),
c(d_0_0_0_1$effect.size, round(d_0_0_0_1$Overall.OC,4)),
c(d_1_0_0_0$effect.size, round(d_1_0_0_0$Overall.OC,4)),
c(d_0_1_0_0$effect.size, round(d_0_1_0_0$Overall.OC,4)),
c(d_1_1_0_0$effect.size, round(d_1_1_0_0$Overall.OC,4)),
c(d_1_1_1_0$effect.size, round(d_1_1_1_0$Overall.OC,4)),
c(d_1_1_0_1$effect.size, round(d_1_1_0_1$Overall.OC,4)),
c(d_1_0_1_0$effect.size, round(d_1_0_1_0$Overall.OC,4)),
c(d_1_1_1_1$effect.size, round(d_1_1_1_1$Overall.OC,4)),
c(d_2_2_0_0$effect.size, round(d_2_2_0_0$Overall.OC,4)),
c(d_2_2_1_0$effect.size, round(d_2_2_1_0$Overall.OC,4)),
c(d_2_2_0_1$effect.size, round(d_2_2_0_1$Overall.OC,4))))
## End(Not run)
github-js/agseDesign documentation built on May 20, 2019, 12:35 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/operatingChar.R
Description
Evaluates Operating Characteristics for Adaptive Group-Sequential Design with Population Enrichment in Phase 3 Randomized Controlled Trials with Co-primary Endpoints
Usage
1 |
Arguments
alpha |
Type 1 error rate |
information.fraction |
Information fraction |
th1 |
theta1 |
th2 |
theta2 |
f1 |
Group 1 proportion |
Value
Stage1.OC |
Stage 1 operating charactistics |
Stage2.OC |
Stage 2 operating charactistics |
Overall.OC |
Overall operating charactistics |
Author(s)
Jaejoon Song, Arup K Sinha
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | library(agseDesign)
set.seed(123)
# Evaluating operating characteristics for theta = (0,0,0,0) scenario
d_0_0_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(0,0))
d_0_0_0_0
## Not run:
# Evaluating operating characteristics for theta = (0,0,1,0) scenario
d_0_0_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(1,0))
d_0_0_1_0
# Evaluating operating characteristics for theta = (0,0,0,1) scenario
d_0_0_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,0),
th2=c(0,1))
d_0_0_0_1
# Evaluating operating characteristics for theta = (1,0,0,0) scenario
d_1_0_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,0),
th2=c(0,0))
d_1_0_0_0
# Evaluating operating characteristics for theta = (0,1,0,0) scenario
d_0_1_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(0,1),
th2=c(0,0))
d_0_1_0_0
# Evaluating operating characteristics for theta = (1,1,0,0) scenario
d_1_1_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(0,0))
d_1_1_0_0
# Evaluating operating characteristics for theta = (1,1,1,0) scenario
d_1_1_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(1,0))
d_1_1_1_0
# Evaluating operating characteristics for theta = (1,1,0,1) scenario
d_1_1_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(0,1))
d_1_1_0_1
# Evaluating operating characteristics for theta = (1,0,1,0) scenario
d_1_0_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,0),
th2=c(1,0))
d_1_0_1_0
# Evaluating operating characteristics for theta = (1,1,1,1) scenario
d_1_1_1_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(1,1),
th2=c(1,1))
d_1_1_1_1
# Evaluating operating characteristics for theta = (2,2,0,0) scenario
d_2_2_0_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(0,0))
d_2_2_0_0
# Evaluating operating characteristics for theta = (2,2,1,0) scenario
d_2_2_0_1 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(0,1))
d_2_2_0_1
# Evaluating operating characteristics for theta = (2,2,1,0) scenario
d_2_2_1_0 <- operatingChar(alpha=0.025,
information.fraction=0.5,
f1=0.75,
th1=c(2,2),
th2=c(1,0))
d_2_2_1_0
options(scipen=999)
manuscriptTable2 <- data.frame(rbind(
c(d_0_0_0_0$effect.size, round(d_0_0_0_0$Overall.OC,4)),
c(d_0_0_1_0$effect.size, round(d_0_0_1_0$Overall.OC,4)),
c(d_0_0_0_1$effect.size, round(d_0_0_0_1$Overall.OC,4)),
c(d_1_0_0_0$effect.size, round(d_1_0_0_0$Overall.OC,4)),
c(d_0_1_0_0$effect.size, round(d_0_1_0_0$Overall.OC,4)),
c(d_1_1_0_0$effect.size, round(d_1_1_0_0$Overall.OC,4)),
c(d_1_1_1_0$effect.size, round(d_1_1_1_0$Overall.OC,4)),
c(d_1_1_0_1$effect.size, round(d_1_1_0_1$Overall.OC,4)),
c(d_1_0_1_0$effect.size, round(d_1_0_1_0$Overall.OC,4)),
c(d_1_1_1_1$effect.size, round(d_1_1_1_1$Overall.OC,4)),
c(d_2_2_0_0$effect.size, round(d_2_2_0_0$Overall.OC,4)),
c(d_2_2_1_0$effect.size, round(d_2_2_1_0$Overall.OC,4)),
c(d_2_2_0_1$effect.size, round(d_2_2_0_1$Overall.OC,4))))
## End(Not run)
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