chemical: Cohort Study Data about POISOX
In ygeunkim/propensityml: Propensity score weighting using machine learning methods
Description
Cohort study interesting in the effect of exposure to an industrial chemical, POISOX, on subsequent blood pressure and mortality.
Usage
1
Format
A data frame with 5000 rows and 5 variables:
- age
age of each subject
- sex
sex of each subject, 0 if male, 1 if female
- poisox
0 if unexposed, 1 if exposed
- mortal
0 if alive, 1 if dead
- blood
subsequent blood pressure, after - prior
ygeunkim/propensityml documentation built on Jan. 1, 2021, 1:44 p.m.
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Description
Cohort study interesting in the effect of exposure to an industrial chemical, POISOX, on subsequent blood pressure and mortality.
Usage
1 |
Format
A data frame with 5000 rows and 5 variables:
- age
age of each subject
- sex
sex of each subject, 0 if male, 1 if female
- poisox
0 if unexposed, 1 if exposed
- mortal
0 if alive, 1 if dead
- blood
subsequent blood pressure, after - prior
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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