healthsurvey: Artificially generated health survey data

In MaciejDanko/gotm: Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity

Artificially generated health survey data

Description

A dataset containing artificially generated survey data

Usage

healthsurvey

Format

A data frame with 10000 rows and 11 variables:

ID

personal identification number.

health

reported health, 5 levels.

diabetes

has diabetes? "yes" or "no".

obese

is obese? "yes" or "no".

IADL_problems

has problems with Instrumental Activities of Daily Living? "yes" or "no".

hypertension

has hypertension? "yes" or "no".

high_cholesterol

has high cholesterol? "yes" or "no".

respiratory_problems

has respiratory problems? "yes" or "no".

heart_attack_or_stroke

had a stroke or a heart attack? "yes" or "no".

poor_mobility

has poor mobility? "yes" or "no".

very_poor_grip

cannot perform grip strength test? "yes" or "no".

depression

has depression? "yes" or "no".

other_diseases

has other diseases? "yes" or "no".

sex

sex/gender: "woman" or "man".

ageclass

categorized age: [50,60), [60,70), [70,80), [80,120).

education

two levels of education: primary or lower ("prim-") and secondary or higher ("sec+".

country

country: "X", "Y", or "Z".

csw

cross-sectional survey weights.

psu

primary statistical unit.

Source

healthsurvey is a completely artificial data set simulated using distributions of some major health and socio-demographic characteristics. The distributions and the data structure are roughly based on the WAVE1 SHARE database (DOIs: 10.6103/SHARE.w1.600); see \insertCiteBorsch2013hopit for technical details. None of the records represent any part of the true data.

The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org).

References

\insertAllCited

Examples

# load *healthsurvey* dataset
data(healthsurvey)

# horizontal view of the dataset (omitting ID)
print(t(healthsurvey[1:6,-1]), quote=FALSE, na.print='NA', right=TRUE)

MaciejDanko/gotm documentation built on Oct. 1, 2022, 12:59 p.m.