nhanes_survival: Survival data with repeated systolic blood pressure...
In inlamemi: Missing Data and Measurement Error Modelling in INLA
nhanes_survival R Documentation
Survival data with repeated systolic blood pressure measurements
Description
A dataset containing a repeated blood pressure measurement along with some other variables for participants in the Third National Health and Nutrition Survey (NHANES III), merged with data from the US National Death Index by Ruth H. Keogh and Jonathan Bartlett. For the illustration purposes in this package, we have left out observations where smoking status is missing.
Usage
nhanes_survival
Format
## 'nhanes_survival'
A data frame with 3433 rows and 8 columns:
- sbp1
systolic blood pressure (standardized), first measurement
- sbp2
systolic blood pressure (standardized), second measurement
- sex
sex (0 = female, 1 = male)
- age
age (standardized)
- smoke
smoking status (0 = no, 1 = yes)
- diabetes
diabetes status (0 = no, 1 = yes)
- d
censoring status (0 = censored, 1 = observed death due to cardiovascular disease)
- t
time until death due to cardiovascular disease occurs
Source
https://github.com/ruthkeogh/meas_error_handbook
inlamemi documentation built on Oct. 31, 2024, 5:08 p.m.
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| nhanes_survival | R Documentation |
Survival data with repeated systolic blood pressure measurements
Description
A dataset containing a repeated blood pressure measurement along with some other variables for participants in the Third National Health and Nutrition Survey (NHANES III), merged with data from the US National Death Index by Ruth H. Keogh and Jonathan Bartlett. For the illustration purposes in this package, we have left out observations where smoking status is missing.
Usage
nhanes_survival
Format
## 'nhanes_survival' A data frame with 3433 rows and 8 columns:
- sbp1
systolic blood pressure (standardized), first measurement
- sbp2
systolic blood pressure (standardized), second measurement
- sex
sex (0 = female, 1 = male)
- age
age (standardized)
- smoke
smoking status (0 = no, 1 = yes)
- diabetes
diabetes status (0 = no, 1 = yes)
- d
censoring status (0 = censored, 1 = observed death due to cardiovascular disease)
- t
time until death due to cardiovascular disease occurs
Source
https://github.com/ruthkeogh/meas_error_handbook
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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