obcost is a database contains necessary data relevant to medical costs on obesity throughout the United States. This database, in form of an R package, could output necessary data frames relevant to obesity costs, where the clients could easily manipulate the output using difference parameters, e.g. relative risks for each illnesses.
So far the functions included in the package are:
generate the essential four tables that concerns obesity
load all critical values in a returned list format
update the relative risks (or the constants) when crucial data needs updating
Package: obcost Type: Package Version: 0.1.0 Date: 2022-10-23 License: public LazyData: no
The database is composed of the following main tables:
Risks for a given disease group with a risk factor of obesity.
Supplementary output with all variables related to individual disease groups in a given state and year.
Complete output with all variables used to make cost calculations, as well as cost calculations in a given state and year.
National summary cost calculations in a given year.
Raw data for generating new tables with user input
Please make sure that packages of dplyr and tidyr is applied
Tianyue Selina Zang (zangt2@miamioh.edu)(zangtianyue.312@163.com) Thomas Woods, Tatjana Miljkovic
Maintainer: Tianyue Selina Zang (zangt2@miamioh.edu)(zangtianyue.312@163.com)
This package contributes to parts of our published journal named “Modeling the Economic Cost of Obesity Risk and Its Relation to the Health Insurance Premium in the United States: A State Level Analysis” Please use the following citation for the journal: Woods Thomas, Tatjana Miljkovic. 2022. Modeling the Economic Cost of Obesity Risk and Its Relation to the Health Insurance Premium in the United States: A State Level Analysis. Risks 10: 197. https://doi.org/10.3390/risks 10100197
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