Confirmatory Adaptive Clinical Trial Design and Analysis
Coerce TrialDesign to a Data Frame
Get Lambda Step Function
Get Log Level
Get Long Format
Parameter Description: Conditional Power
Parameter Description: Data Input
Parameter Description: Design
Parameter Description: Design with Default
Parameter Description: Digits
Parameter Description: Direction Upper
Parameter Description: Dropout Rate (1)
Parameter Description: Dropout Rate (2)
Parameter Description: Dropout Time
Parameter Description: Effect List
Parameter Description: Effect Matrix
Parameter Description: Effect Measure
Parameter Description: Epsilon Value
Parameter Description: Event Time
Parameter Description: fixedExposureTime for Counts
Parameter Description: followUpTime for Counts
Parameter Description: G ED50
Parameter Description: Grid (Output Specification Of Multiple Plots)
Parameter Description: Number Of Treatment Groups
Parameter Description: Hazard Ratio
Parameter Description: Include All Parameters
Parameter Description: Information Epsilon
Parameter Description: Information Rates
Parameter Description: Intersection Test
Parameter Description: Intersection Test
Parameter Description: Standard Deviation Under Alternative
Parameter Description: Kappa
Parameter Description: Maximum Number of Stages
Parameter Description: lambda for Counts
Parameter Description: Lambda (1)
Parameter Description: lambda (1) for Counts
Parameter Description: Lambda (2)
Parameter Description: lambda (2) for Counts
Parameter Description: Legend Position On Plots
Parameter Description: Maximum Information
Parameter Description: Max Number Of Events Per Stage
Parameter Description: Maximum Number Of Iterations
Parameter Description: Maximum Number Of Subjects
Parameter Description: Maximum Number Of Subjects For Survival Endpoin...
Parameter Description: Maximum Number Of Subjects Per Stage
Parameter Description: Median (1)
Parameter Description: Median (2)
Parameter Description: Min Number Of Events Per Stage
Parameter Description: Minimum Number Of Subjects Per Stage
Parameter Description: Nice Column Names Enabled
Parameter Description: N_max
Parameter Description: Normal Approximation
Parameter Description: N Planned
Parameter Description: overdispersion for Counts
Parameter Description: Palette
Parameter Description: Pi (1) for Rates
Parameter Description: Pi (1) for Survival Data
Parameter Description: Pi (2) for Rates
Parameter Description: Pi (2) for Survival Data
Parameter Description: Piecewise Survival Time
Parameter Description: Planned Calendar Time
Parameter Description: Planned Events
Parameter Description: Planned Subjects
Parameter Description: Plot Points Enabled
Parameter Description: Plot Settings
Parameter Description: Populations
Parameter Description: R Value
Parameter Description: Seed
Parameter Description: Select Arms Function
Parameter Description: Select Populations Function
Parameter Description: Show Source
Parameter Description: Show Statistics
Parameter Description: Sided
Parameter Description: Slope
Parameter Description: Stage
Parameter Description: Stage Results
Parameter Description: Standard Deviation
Parameter Description: Standard Deviation for Simulation
Parameter Description: Stratified Analysis
Parameter Description: Success Criterion
Parameter Description: Theta
Parameter Description: theta for Counts
Parameter Description: Theta H0
Parameter Description: Effect Under Alternative
Parameter Description: "..."
Parameter Description: "..." (optional plot arguments)
Parameter Description: Threshold
Parameter Description: Tolerance
Parameter Description: Type Of Computation
Parameter Description: Type of Design
Parameter Description: Type of Selection
Parameter Description: Type Of Shape
Parameter Description: User Alpha Spending
Parameter Description: Variance Option
Parameter Set
Performance Score
Summary Factory Printing
Trial Design Characteristics Printing
Print Citation
Class for Simulation Results
Class for Simulation Results Count Data
Class for Simulation Results Enrichment Means
Class for Simulation Results Enrichment Rates
Class for Simulation Results Enrichment Survival
Stage Results of Rates
Stage Results of Survival Data
Parameter Description: Calculate Events Function
Names of a Trial Design Set Object
Parameter Description: Calculate Subjects Function
Number Of Subjects
Parameter Description: Accrual Intensity
Parameter Description: accrualIntensity for Counts
Parameter Description: Accrual Intensity Type
Parameter Description: Accrual Time
Parameter Description: accrualTime for Counts
Parameter Description: Active Arms
Coerce Stage Results to a Data Frame
Parameter Description: Adaptations
Parameter Description: Conditional Power
Parameter Description: Allocation Ratio Planned
Parameter Description: Allocation Ratio Planned With Optimum Option
Parameter Description: Alpha
Accrual Time
Basic Class for Analysis Results
Analysis Results Multi-Arm Conditional Dunnett
Basic Class for Analysis Results Enrichment
Analysis Results Inverse Normal
Analysis Results Enrichment Fisher
Analysis Results Enrichment Inverse Normal
Analysis Results Fisher
Analysis Results Group Sequential
Basic Class for Analysis Results Multi-Arm
Analysis Results Multi-Arm Fisher
Analysis Results Multi-Arm Inverse Normal
Basic Class for Analysis Results Multi-Hypotheses
Coerce AnalysisResults to a Data Frame
Coerce Parameter Set to a Data Frame
Coerce Power And Average Sample Number Result to a Data Frame
Parameter Description: Alternative
Coerce TrialDesignCharacteristics to a Data Frame
Coerce Trial Design Plan to a Data Frame
Coerce Trial Design Set to a Data Frame
Coerce Field Set to a Matrix
Algorithm AS 251: Normal Distribution
Dataset of Means
Algorithm AS 251: Student T Distribution
Analysis Results Closed Combination Test
Conditional Power Results
Conditional Power Results Enrichment Means
Dataset of Rates
Parameter Description: Alternative for Simulation
Conditional Power Results Enrichment Rates
Conditional Power Results Means
Conditional Power Results Rates
Conditional Power Results Survival
Dataset
Get Wide Format
Parameter Description: Beta
Dataset of Survival Data
Event Probabilities
Extract a single parameter
Field Set
Get Accrual Time
Get Analysis Results
Get Available Plot Types
Get Closed Combination Test Results
Get Closed Conditional Dunnett Test Results
Get Conditional Power
Get Conditional Rejection Probabilities
Get Simulation Data
Get Dataset
Get Design Characteristics
Create output in Markdown
Get Design Conditional Dunnett Test
Get Design Fisher
Get Design Group Sequential
Get Design Inverse Normal
Get Design Set
Get Event Probabilities
Get Final Confidence Interval
Get Final P Value
Get Group Sequential Probabilities
Names of a Simulation Results Object
Get Number Of Subjects
Get Object R Code
Get Observed Information Rates
Get Output Format
Get Parameter Caption
Get Parameter Name
Names of a Stage Results Object
Get Performance Score
Get Piecewise Survival Time
Get Plot Settings
Get Power And Average Sample Number
Get Power Counts
Get Power Means
Get Power Rates
Get Power Survival
Get Simulation Raw Data for Survival
Get Repeated Confidence Intervals
Parameter Description: Binding Futility
Get Repeated P Values
Get Sample Size Counts
Get Sample Size Means
Get Sample Size Rates
Get Sample Size Survival
Get Simulation Counts
Get Simulation Enrichment Means
Get Simulation Enrichment Rates
Get Simulation Enrichment Survival
Get Simulation Means
Get Simulation Multi-Arm Means
Get Simulation Multi-Arm Rates
Get Simulation Multi-Arm Survival
Get Simulation Rates
Get Simulation Survival
Get Stage Results
Get Test Actions
Print Parameter Set in Markdown Code Chunks
Print Summary Factory in Markdown Code Chunks
Length of Trial Design Set
Original Algorithm AS 251: Normal Distribution
Original Algorithm AS 251: Student T Distribution
Names of a Analysis Results Object
Names of a Field Set Object
Piecewise Exponential Survival Time
Analysis Results Plotting
Dataset Plotting
Event Probabilities Plotting
Number Of Subjects Plotting
Print Simulation Results
Parameter Set Plotting
Simulation Results Plotting
Stage Results Plotting
Summary Factory Plotting
Trial Design Plotting
Trial Design Plan Plotting
Trial Design Set Plotting
Plot Settings
Power and Average Sample Number Result
Print Dataset Values
Print Field Set Values
Print Parameter Set Values
Read Dataset
Read Multiple Datasets
Reset Log Level
rpact - Confirmatory Adaptive Clinical Trial Design and Analysis
Set Log Level
Set Output Format
Class for Simulation Results Means
Class for Simulation Results Multi-Arm Means
Class for Simulation Results Multi-Arm Rates
Class for Simulation Results Multi-Arm Survival
Class for Simulation Results Rates
Class for Simulation Results Survival
Basic Stage Results
Stage Results Enrichment Means
Stage Results Enrichment Rates
Stage Results Enrichment Survival
Stage Results of Means
Stage Results Multi Arm Means
Stage Results Multi Arm Rates
Stage Results Multi Arm Survival
Analysis Results Summary
Dataset Summary
Parameter Set Summary
Trial Design Set Summary
Summary Factory
Test Plan Section
Test Package
Basic Trial Design
Trial Design Characteristics
Conditional Dunnett Design
Fisher Design
Group Sequential Design
Inverse Normal Design
Basic Trial Design Plan
Trial Design Plan Count Data
Trial Design Plan Means
Trial Design Plan Rates
Trial Design Plan Survival
Class for trial design sets.
The Piecewise Exponential Distribution
Survival Helper Functions for Conversion of Pi, Lambda, Median
Write Dataset
Write Multiple Datasets
Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Useful links