ctsTrialWide: Simulated example data with continuous outcome measured...
In jwb133/mlmi: Maximum Likelihood Multiple Imputation
ctsTrialWide R Documentation
Simulated example data with continuous outcome measured repeatedly over time
Description
A dataset in the wide form containing simulated data with a repeatedly measured
outcome. Some outcome values are missing. The missing data pattern is
monotone. There are two baseline covariates.
Usage
ctsTrialWide
Format
A data frame with 500 rows and 7 variables:
- id
ID for individual
- trt
A numeric 0/1 variable indicating control or active treatment group
- v
A baseline covariate
- y0
Baseline measurement of the outcome variable
- y1
Outcome measurement at visit 1
- y2
Outcome measurement at visit 2
- y3
Outcome measurement at visit 3
jwb133/mlmi documentation built on June 4, 2023, 9:39 a.m.
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| ctsTrialWide | R Documentation |
Simulated example data with continuous outcome measured repeatedly over time
Description
A dataset in the wide form containing simulated data with a repeatedly measured outcome. Some outcome values are missing. The missing data pattern is monotone. There are two baseline covariates.
Usage
ctsTrialWide
Format
A data frame with 500 rows and 7 variables:
- id
ID for individual
- trt
A numeric 0/1 variable indicating control or active treatment group
- v
A baseline covariate
- y0
Baseline measurement of the outcome variable
- y1
Outcome measurement at visit 1
- y2
Outcome measurement at visit 2
- y3
Outcome measurement at visit 3
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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