Many Models in R: A Tutorial - National Child Development Study: Age 46, Sweep 7, 2004-2005: Synthetic Data, 2023

Wright, Liam (2023). Many Models in R: A Tutorial - National Child Development Study: Age 46, Sweep 7, 2004-2005: Synthetic Data, 2023. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-856610

This project contains data used in the paper, "Many Models in R: A Tutorial". The data are a simplified, synthetic and imputed version of the National Child Development Study. There are variables for 14 biomarkers from the age 46/47 biomedical survey, 4 measures of cognitive ability from tests at ages 11 and 16, and 3 covariates (sex, father's socioeconomic class and BMI at age 11).

Data description (abstract)

The deposit contains a dataset created for the paper, 'Many Models in R: A Tutorial'. ncds.Rds is an R format synthetic dataset created with the synthpop dataset in R using data from the National Child Development Study (NCDS), a birth cohort of individuals born in a single week of March 1958 in Britain. The dataset contains data on fourteen biomarkers collected at the age 46/47 sweep of the survey, four measures of cognitive ability from age 11 and 16, and three covariates, sex, body mass index at age 11 and father's social class. The data is only intended to be used in the tutorial - it is not to be used for drawing statistical inferences.

Data creators:
Creator Name Affiliation ORCID (as URL)
Wright Liam University College London https://orcid.org/0000-0002-6347-5121
Sponsors: N/A
Topic classification: Health
Psychology
Keywords: COGNITIVE PROCESSES, SEX, SOCIAL CLASS, HEALTH
Project title: Many Models in R: A Tutorial
Date published: 31 Jul 2023 08:28
Last modified: 31 Jul 2023 08:29

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