simdat: Simulated joint longitudinal and survival dataset containing...
In mesudell/joineRmeta: Joint Modelling for Meta-Analytic (Multi-Study) Data
Description
Usage
Format
Details
See Also
Description
A simulated dataset containing a single continuous longitudinal outcome and a
single survival outcome, with data available from 5 studies.
Usage
1
Format
A list of three objects:
longitudinalA list
of long format longitudinal datasets one for each of the 5 studies included
in the dataset. Each of these datasets contains the following variables:
idlong version of the id variable for the data.
Identical ids between the longitudinal and the survival datasets identify
the same individual
Ya continuous longitudinal outcome
timethe longitudinal time variable
studya
long version of the study membership indicator
intercepta
long version of the intercept, always takes a value of 1
treata long version of the binary treatment group indicator
ltimea duplicate of the longitudinal time variable,
duplicated as part of the longitudinal data simulation process
survivalA list of survival datasets, one for each of the 5
studies included in the dataset. Each of these datasets contains the
following variables:
idthe id variable for the
data. Identical ids between the longitudinal and the survival datasets
identify the same individual
survtimethe survival time for
each individual at which they experienced the event or were censored. This
is on the same scale as the longitudinal time measurements.
censcensoring indicator for the survival data where 1
indicates an event and 0 indicates censoring
studystudy
membership indicator
treatbinary treatment group indicator
percenteventA list of the percentage of events experienced
in each datasets. The first element contains the percentage of events
observed for the first simulated study and so on.
Details
This is a simulated dataset generated using the
simjointmeta function using the following function call:
simdat<-simjointmeta(k = 5, n = rep(500, 5), sepassoc = FALSE, ntms
= 5, longmeasuretimes = c(0, 1, 2, 3, 4), beta1 = c(1, 2, 3), beta2 = 3,
rand_ind = 'intslope', rand_stud = 'inttreat', gamma_ind = 1, gamma_stud =
1, sigb_ind = matrix(c(1,0.5,0.5,1.5),nrow=2), sigb_stud =
matrix(c(1,0.5,0.5,1.5),nrow=2), vare = 0.01, theta0 = -3, theta1 = 1,
censoring = TRUE, censlam = exp(-3), truncation = TRUE, trunctime = 6)
Note that this will not give you identical data to that held in
simdat due to the differences in starting seed.
See Also
mesudell/joineRmeta documentation built on Jan. 24, 2020, 6:06 p.m.
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Description Usage Format Details See Also
Description
A simulated dataset containing a single continuous longitudinal outcome and a single survival outcome, with data available from 5 studies.
Usage
1 |
Format
A list of three objects:
longitudinalA list of long format longitudinal datasets one for each of the 5 studies included in the dataset. Each of these datasets contains the following variables:
idlong version of the id variable for the data. Identical ids between the longitudinal and the survival datasets identify the same individual
Ya continuous longitudinal outcome
timethe longitudinal time variable
studya long version of the study membership indicator
intercepta long version of the intercept, always takes a value of 1
treata long version of the binary treatment group indicator
ltimea duplicate of the longitudinal time variable, duplicated as part of the longitudinal data simulation process
survivalA list of survival datasets, one for each of the 5 studies included in the dataset. Each of these datasets contains the following variables:
idthe id variable for the data. Identical ids between the longitudinal and the survival datasets identify the same individual
survtimethe survival time for each individual at which they experienced the event or were censored. This is on the same scale as the longitudinal time measurements.
censcensoring indicator for the survival data where 1 indicates an event and 0 indicates censoring
studystudy membership indicator
treatbinary treatment group indicator
percenteventA list of the percentage of events experienced in each datasets. The first element contains the percentage of events observed for the first simulated study and so on.
Details
This is a simulated dataset generated using the
simjointmeta function using the following function call:
simdat<-simjointmeta(k = 5, n = rep(500, 5), sepassoc = FALSE, ntms
= 5, longmeasuretimes = c(0, 1, 2, 3, 4), beta1 = c(1, 2, 3), beta2 = 3,
rand_ind = 'intslope', rand_stud = 'inttreat', gamma_ind = 1, gamma_stud =
1, sigb_ind = matrix(c(1,0.5,0.5,1.5),nrow=2), sigb_stud =
matrix(c(1,0.5,0.5,1.5),nrow=2), vare = 0.01, theta0 = -3, theta1 = 1,
censoring = TRUE, censlam = exp(-3), truncation = TRUE, trunctime = 6)
Note that this will not give you identical data to that held in
simdat due to the differences in starting seed.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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