|
This function generates a simulated dataset with time-dependent exposure under method 1 with a user-specified list of parameters as input. Survival times and censoring times are generated from the exponential distribution.
● Data Source:
CranContrib
● Keywords: Simulation
● Alias: tdSim.method1
●
0 images
|
|
This function simulate Survival Data. It generates a simulated dataset with time-dependent exposure under method 2 with a user-specified list of parameters as input.
● Data Source:
CranContrib
● Keywords: Simulation
● Alias: tdSim.method2
●
0 images
|
|
This package generates power for the Cox proportional hazards model by simulating survival events data with time dependent exposure status for subjects. A dichotomous exposure variable is considered with a single transition from unexposed to exposed status during the subject time's in the study.
● Data Source:
CranContrib
● Keywords:
● Alias: SimHaz, SimHaz-package
●
0 images
|
|
This functions runs nSim (Number of simulations, specified by the user) Monte Carlo simulations, each time it calling tdSim.method1 internally. The function returns a data frame of scenario-specific parameters (including statistical power) and appends the output to a file with file name specified in the input parameters list. The user also have an option whether to plot an incidence plot or not.
● Data Source:
CranContrib
● Keywords: Power_Calculation
● Alias: getpower.method1
●
0 images
|
This function plots a power curve at each time and returns a subsetted data frame that match the list of input parameters.
● Data Source:
CranContrib
● Keywords: Plot
● Alias: plot_power
●
1 images
|
|
This functions runs nSim (Number of simulations, specified by the user) Monte Carlo simulations, each time calling tdSim.method2 internally. The function returns a data frame of scenario-specific input parameters- and also output statistical power. The user has the option to append the output to a file with file name specified in the input parameters list.
● Data Source:
CranContrib
● Keywords: Power_Calculation
● Alias: getpower.method2
●
0 images
|
|
This functions runs nSim (number of simulations; specified by the user) Monte Carlo simulations on the Cox proportional model with a cluster option. At each simulation, the function calls tdSim.clst internally. The function returns a data frame of scenario-specific parameters (including statistical power) and appends the output to a file with file name specified in the input parameters list. The user also has an option to display an incidence plot.
● Data Source:
CranContrib
● Keywords: Power_Calculation
● Alias: getpower.clst
●
0 images
|
|
This function allows the user to input a data frame with clustering parameters and generates a simulated dataset with time-dependent exposure. In particular, the output dataset has a column corresponding to the physician site id, which will be used as a clustering variable in the Cox regression model in power calculation.
● Data Source:
CranContrib
● Keywords: Simulation
● Alias: tdSim.clst
●
0 images
|
Create an incidence plot ordered by follow-up time from a survival data simulated.
● Data Source:
CranContrib
● Keywords: Plot
● Alias: plot_simuData
●
1 images
|
providing 
.