retinopathy: Retinopathy
In ejikeugba/gofcat: Goodness-of-Fit Measures for Categorical Response Models
retinopathy R Documentation
Retinopathy
Description
The retinopathy data contains information on persons with retinopathy.
Format
A data frame with 613 observations on the following 5 variables:
- RET: RET=1: no retinopathy, RET=2 nonproliferative retinopathy,
RET=3 advanced retinopathy or blind
- SM: SM=1: smoker, SM=0: non-smoker
- DIAB: diabetes duration in years
- GH: glycosylated hemoglobin measured in percent
- BP: diastolic blood pressure in mmHg
References
Bender and Grouven (1998), Using binary logistic regression models for
ordinal data with non-proportional odds, J. Clin. Epidemiol.,
51, 809-816.
See Also
vaso, Fishing
ejikeugba/gofcat documentation built on Feb. 3, 2023, 6:29 a.m.
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| retinopathy | R Documentation |
Retinopathy
Description
The retinopathy data contains information on persons with retinopathy.
Format
A data frame with 613 observations on the following 5 variables: - RET: RET=1: no retinopathy, RET=2 nonproliferative retinopathy, RET=3 advanced retinopathy or blind - SM: SM=1: smoker, SM=0: non-smoker - DIAB: diabetes duration in years - GH: glycosylated hemoglobin measured in percent - BP: diastolic blood pressure in mmHg
References
Bender and Grouven (1998), Using binary logistic regression models for ordinal data with non-proportional odds, J. Clin. Epidemiol., 51, 809-816.
See Also
vaso, Fishing
R Package Documentation
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