Generalised Survival Trial Assessment Tool Environment
Method for returning all parameters from a Curve object as a list
Exponential Curve constructor function
Fit Weibull, Log-Normal or Exponential survival curves to Kaplan Meier...
Fit Weibull, Log-Normal or Exponential survival curves to patient-leve...
Fit Weibull survival curves to patient-level time-to-event data by inc...
Calculate Freedman power from number of events
Calculate Frontier power from number of events
Method for returning the CDF function for a RCurve object
Method for returning the CDF function for a RCurve object
Method for returning the CDF function for a Curve object
Method for returning the CDF function for a Curve object
Method for returning the inverse-CDF function for a Curve object
Method for returning the inverse-CDF function for a Curve object
Method for returning the recruitment length from a RCurve
Method for returning the recruitment length from a RCurve
Method for returning maximum duration of patient follow-up from a RCur...
Method for returning maximum duration of patient follow-up from a RCur...
Method for returning the total patient number from a RCurve
Method for returning the total patient number from a RCurve
Method for returning the active arm patient number from a RCurve
Method for returning the active arm patient number from a RCurve
Method for returning all parameter names from a Curve object
Method for returning all parameter names from a Curve object
Method for returning the control arm patient number from a RCurve
Method for returning the control arm patient number from a RCurve
Method for returning a single parameter from a Curve object
Method for returning a single parameter from a Curve object
Method for returning all parameters from a Curve object as a list
Method for returning all parameters from a Curve object as a vector
Method for returning all parameters from a Curve object as a vector
Method for calculating expected number of recruited patients at a give...
Method for calculating expected number of recruited patients at a give...
Method for returning the PDF function for a Curve object
Method for returning the PDF function for a Curve object
Method for returning the recruitment ratio from a RCurve
Method for returning the recruitment ratio from a RCurve
Method for returning the RF function for a Curve object
Method for returning the RF function for a Curve object
Method for returning the Curve type
Method for returning the Curve type
Generalised Gamma Curve constructor function
Gompertz Curve constructor function
InstantR RCurve constructor function
LinearR RCurve constructor function
Log-logistic Curve constructor function
Log-normal Curve constructor function
Mixture Exponential Curve constructor function
Analyse simulations of time-to-event data using arbitrary event, censo...
Blank Curve constructor function
Mixture Weibull Curve constructor function
Calculate analytic time-to-event trial properties under non-proportion...
Piecewise Exponential Curve constructor function
PieceR RCurve constructor function
PieceR RCurve constructor function
Plot event prediction output
Kaplan Meier Plot of Curve-Fit
Create an arbitrary prior data set from a specified Curve object
Method for creating a random draw function from a Curve object
Method for creating a random draw function from a Curve object
Curve Class for defining distributions
Method for evaluating the CDF function for a Curve object at q
Method for evaluating the CDF function for a Curve object at q
Method for evaluating the inverse-CDF function for a Curve object at p
Method for evaluating the inverse-CDF function for a Curve object at p
Method for evaluating the PDF function for a Curve object at x
Method for evaluating the PDF function for a Curve object at x
Event prediction using patient-level survival data and a recruitment R...
Event prediction using a lifetable and a recruitment RCurve
Event prediction using patient-level survival data, prior data and a r...
Calculate Schoenfeld or Event Proportion power from number of events
Plot output from nph_traj
Method for plotting the CDF of a Curve object
Method for plotting the CDF of a Curve object
Method for plotting the Recruitment Function of a RCurve object
Method for plotting the Recruitment Function of a RCurve object
Method for plotting the Survival Function of a Curve object
Method for plotting the Survival Function of a Curve object
Calculate Schoenfeld or Event Proportion based event numbers from powe...
Method for taking random draws from a Curve object distribution
Method for taking random draws from a Curve object distribution
RCurve Class for defining recruitment distributions
Load Shiny for Gestate Loads the Shiny interactive GUI for gestate
Adjusts assessment time for simulations
Adjusts simulations so that administrative censoring occurs at a fixed...
Method for setting N's in an RCurve
Method for setting N's in an RCurve
Method for displaying Curve objects neatly - replaces standard show me...
Method for displaying RCurve objects neatly - replaces standard show m...
Perform simulations of time-to-event data using arbitrary event, censo...
Perform multi-strata simulations of time-to-event data using arbitrary...
Summarise analyses of simulations of time-to-event data using arbitrar...
Create lifetable quickly
Weibull Curve constructor function
Calculate Normal distribution test power based on Effect size and Vari...
Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).