birth {EgoCor}

Spatially correlated birthweight data with artificial coordinates

Description

A simulated dataset containing geo-coded birthweight data with covariates. It is provided for exemplary applications of the functions within the EgoCor package.

Usage

birth

Format

A data frame with 903 rows and 8 variables:

x

x-coordinate given in Cartesian format in meters,

y

y-coordinate given in Cartesian format in meters,

birthweight

weight of the child in gram,

primiparous

binary: 1 = first child birth, 0 = not the first child birth,

datediff

difference between due date and birth,

bmi

BMI (body mass index) of the mother at the beginning of pregnancy,

weight

weight of the mother in kg,

inc

income quintiles 0 (low), 1, 2, 3, 4 (high).

Details

The dataset is loosely based on the BaBi study dataset referred to in Spallek et al. (2017). The spatial correlation structure was already modeled using an exponential model in Sauzet et al. (2021).

References

Sauzet O, Breiding JH, Zolitschka KA, Breckenkamp J, Razum O (2021). “An ego-centred approach for the evaluation of spatial effects on health in urban areas based on parametric semi-variogram models: concept and validation.” BMC medical research methodology, 21(1), 1–12.

Spallek J, Grosser A, Höller-Holtrichter C, Doyle I, Breckenkamp J, Razum O (2017). “Early childhood health in Bielefeld, Germany (BaBi study): study protocol of a social-epidemiological birth cohort.” BMJ Open, 7(8). ISSN 2044-6055, doi:10.1136/bmjopen-2017-018398, https://bmjopen.bmj.com/content/7/8/e018398.