Project: IDA for longitudinal data

Project description

The objective is to provide an example of initial data anlysis for longitudinal data.

Lara Lusa, Frank Lawrence, Carsten Schmidt, Mark Baillie, Saskia le Cessie, Marianne Huebner

Project status: ACTIVE

Project outcomes:

  1. R code for IDA for longitudinal data

  2. Manuscript with IDA workflow in the example of SHARE data

Supplementary material

The Survey of Health Ageing and Retirement in Europe (SHARE) consists of data on health and socioeconomic variables of non-institutionalized individuals aged 50 and older across several European countries. The data sets includes about 140 000 men and women, ages 50 or older, collected in years 2004 to 2018. The questionnaires include questions on demographics, health (physical, and mental health, cognitive function, grip strength and behavioral risks), and socio-economic status.

Poster presentation at Annual Conference of the International Society of Clinical Biostatistics (ISCB) 2020.