Bahrami1: Body Mass Index Data
In LICurvature: Sensitivity Analysis for Case Weight in Normal Linear Regression
Description
Usage
Format
Source
References
Description
The medical data set is obtained from an observational study in
the Taleghani hospital in Tehran. These data record the
Steatosis and BMI for 61 diabetic patients. BMI is a statistical measure of the
weight of body mass index. A person scaled height body mass index
may be accurately calculated using any of the formulas such as
BMI=w/H^2 where W is weight and H is height. As
explanatory variable for BMI, duration of diabet
is an amount of time or a particular time interval which a person
take diabet (a metabolic disorder characterized by high blood suger and other signs). another
explanatory variable is gender.
Usage
1
Format
A data frame with 15 observations on the following 3 variables:DURATION,BMI,GENDER
Source
The medical data set is obtained from an observational study in
the Taleghani hospital in Tehran.
References
Bahrami Samani, E., Ganjali, M. and Khodaddadi, A. (2008). A Latent Variable Model for Mixed Continuous and Ordinal Responses. Journal of Statistical Theory and Applications. 7(3):337-349.
LICurvature documentation built on May 30, 2017, 4:18 a.m.
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Description Usage Format Source References
Description
The medical data set is obtained from an observational study in the Taleghani hospital in Tehran. These data record the Steatosis and BMI for 61 diabetic patients. BMI is a statistical measure of the weight of body mass index. A person scaled height body mass index may be accurately calculated using any of the formulas such as BMI=w/H^2 where W is weight and H is height. As explanatory variable for BMI, duration of diabet is an amount of time or a particular time interval which a person take diabet (a metabolic disorder characterized by high blood suger and other signs). another explanatory variable is gender.
Usage
1 |
Format
A data frame with 15 observations on the following 3 variables:DURATION,BMI,GENDER
Source
The medical data set is obtained from an observational study in the Taleghani hospital in Tehran.
References
Bahrami Samani, E., Ganjali, M. and Khodaddadi, A. (2008). A Latent Variable Model for Mixed Continuous and Ordinal Responses. Journal of Statistical Theory and Applications. 7(3):337-349.
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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