dt_1t: An example of a dataset in long format with one time-point...
In osofr/stremr: Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Description
Simulated dataset containing 50,000 i.i.d. observations with single time-point exposure.
The binary exposure is A and binary outcome is Y. See /tests/
for R code that generated this data as well as R code that uses stremr to analyze this data.
Usage
1
Format
A data frame with 50,000 observations and variables:
- ID
Unique subject identifier
- L1
Binary baseline confounder
- L2
Binary baseline confounder
- L3
Binary baseline confounder
- L4
Binary baseline confounder
- L5
Binary baseline confounder
- L6
Binary baseline confounder
- A
Binary exposure
- Y
Indicator of the binary outcome at the end of the study.
osofr/stremr documentation built on Jan. 25, 2022, 8:07 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Simulated dataset containing 50,000 i.i.d. observations with single time-point exposure.
The binary exposure is A and binary outcome is Y. See /tests/
for R code that generated this data as well as R code that uses stremr to analyze this data.
Usage
1 |
Format
A data frame with 50,000 observations and variables:
- ID
Unique subject identifier
- L1
Binary baseline confounder
- L2
Binary baseline confounder
- L3
Binary baseline confounder
- L4
Binary baseline confounder
- L5
Binary baseline confounder
- L6
Binary baseline confounder
- A
Binary exposure
- Y
Indicator of the binary outcome at the end of the study.
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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