# NOT RUN {
# Outcome parameter set 1
outcome1.placebo = parameters(mean = 0, sd = 70)
outcome1.treatment = parameters(mean = 40, sd = 70)
# Outcome parameter set 2
outcome2.placebo = parameters(mean = 0, sd = 70)
outcome2.treatment = parameters(mean = 50, sd = 70)
# Data model
case.study1.data.model = DataModel() +
OutcomeDist(outcome.dist = "NormalDist") +
SampleSize(c(50, 55, 60, 65, 70)) +
Sample(id = "Placebo",
outcome.par = parameters(outcome1.placebo, outcome2.placebo)) +
Sample(id = "Treatment",
outcome.par = parameters(outcome1.treatment, outcome2.treatment))
# Analysis model
case.study1.analysis.model = AnalysisModel() +
Test(id = "Placebo vs treatment",
samples = samples("Placebo", "Treatment"),
method = "TTest")
# Evaluation model
case.study1.evaluation.model = EvaluationModel() +
Criterion(id = "Marginal power",
method = "MarginalPower",
tests = tests("Placebo vs treatment"),
labels = c("Placebo vs treatment"),
par = parameters(alpha = 0.025))
# Simulation Parameters
case.study1.sim.parameters = SimParameters(n.sims = 1000, proc.load = 2, seed = 42938001)
# Perform clinical scenario evaluation
case.study1.results = CSE(case.study1.data.model,
case.study1.analysis.model,
case.study1.evaluation.model,
case.study1.sim.parameters)
# Reporting
case.study1.presentation.model = PresentationModel() +
Section(by = "outcome.parameter") +
Table(by = "sample.size") +
CustomLabel(param = "sample.size",
label= paste0("N = ",c(50, 55, 60, 65, 70))) +
CustomLabel(param = "outcome.parameter",
label=c("Standard 1", "Standard 2"))
# Report Generation
GenerateReport(presentation.model = case.study1.presentation.model,
cse.results = case.study1.results,
report.filename = "Case study 1 (normally distributed endpoint).docx")
# }
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