Determinants of Longevity and Ageing in Good Health (DELAG) is a research project, led by Dr. Marc Luy, at the Vienna Institute of Demography. Views are our own
@HeLoDelag Research Group Leader Marc Luy featured in the series Lab Stories by @oeaw ! Follow the trajectory that motivated him to become a researcher and awarded an @ERC_Research Consolidator Grant @LETHE_ERC. @WiCVienna 👇👇👇📢📢
https://t.co/X8h0CL81tJ
@m_muszynska_s investigated the bias related to panel attrition in the Healthy Life Years (HLY), the official indicator for monitoring the health status of Europeans. An important paper with policy implications. Part of @LETHE_ERC ! full paper 👇https://t.co/hBQSoWSkEX
We find no systematic bias related to panel attrition in the Healthy Life Years based on the cross-sectional samples of the EU-SILC for most countries. Nevertheless, its existence in some countries should be acknowledged @LETHE_ERC, @HeLoDelag, @WiCVienna https://t.co/NS73HS5Mvl
We find no systematic bias related to panel attrition in the Healthy Life Years based on the cross-sectional samples of the EU-SILC for most countries. Nevertheless, its existence in some countries should be acknowledged @LETHE_ERC, @HeLoDelag, @WiCVienna https://t.co/NS73HS5Mvl
Amazing work on how people rate the same health state differently. More work on the sensitivity of health surveys by my colleague @PatLazarevic and how we should be more cautious when inferring health from people´s ratings. @cpos_journal@LETHE_ERC@HeLoDelag@WiCVienna
To the extent that "health" is covered in this model, residuals represent non-health biases. This is because it removes indirect non-health effects on SRH via health indicators, leaving only direct effects of non-health on SRH: non-health biases. (3/8)
Are cross-sectional samples drawn from panel studies representative? Not always, this new publication from @m_muszynska_s shows. Attrition may be an important bias in health studies based on SHARE. @LETHE_ERC@WiCVienna@HorizonEU@HeLoDelag
🚨New Publication from @HeLoDelag team member @m_muszynska_s! In this important piece, she shows how cross-sectional sample drawn from panel studies might be biased by attrition, which can affect health studies based on SHARE @SHARE_MEA surveys 👇 @WiCVienna@LETHE_ERC@tu_wien
When a cross-sectional sample comes from panel studies, it might be biased by attrition and hence not representative. Is this a problem in health studies based on SHARE? https://t.co/2AvwG9e8mJ
@LETHE_ERC@HeLoDelag@HorizonEU@WiCVienna
@HeLoDelag team member @PatLazarevic investigated the contribution of five health domains to self-rated health (SRH) cross-sectionally and longitudinally and whether these contributions differ by gender or age. The full paper is on 🔗:
https://t.co/DT7TQPBHzo
@oeaw@WiCVienna
New @LETHE_ERC publication! @PatLazarevic and @amelieqv investigated the contribution of five health domains to self-rated health (SRH) cross-sectionally and longitudinally and whether these contributions differ by gender or age! @HorizonEU@ERC_Research https://t.co/nBoXk0EJl9
If you are attending the EPC, you can already check out my poster on "The Necessity, Feasibility, and Utility of Using the Minimum European Health Module to Measure Generic Health" as poster A2 in room 3. Looking forward to talk to you there on Thursday 17:45 to 19:15!
@LETHE_ERC@ERC_Research@HorizonEU
On Saturday, Session 73 Issues in health data analysis, at the EPC in Groningen, we will demonstarte how attrition on health survey affects healthy life years estimates based on SILC and SHARE cross-sectional datasets
@HeLoDelag@WiCVienna
The study by Jinjing Wu, Samir KC @kcsamir and Marc Luy looks into major causes of death that drive gender differences in mortality in urban and rural China between 2013–2018. Check out their study 👇👇 @HeLoDelag@WiCVienna@IIASAVienna https://t.co/orn3DvtBHP
@MarkusSauerberg we wish you a lot of success in your new position! We look forward to following this new phase of your career and your research results! All the best and thanks for such fruitful 4 years!!🎉🥳🪅🍾
After 4 years in Vienna @WiCVienna in a great research team @HeLoDelag@LETHE_ERC , I am happy to inform that I have recently joined @bib_bund to work on regional mortality differences in Europe (REDIM) https://t.co/4uaLgX2wal Thanks to everyone!
📚ICYMI! Marc Luy, @MarkusSauerberg, @m_muszynska_s & @v_dilego look at lifespan inequality & mortality in Germany during #COVID19. They show that men from Eastern Germany experienced the biggest decline in life expectancy at birth in 2020.
🔗https://t.co/OnGnOfXxDr
#poptwitter
We are heating up the engines again with the activities of the formal demography working group! Join our next session on 28 Jan, this time at 1pm ET or 7 pm CET! Sign up for the zoom details in the link below👇 @PopulationEU @WiCVienna
@HeLoDelag PI Marc Luy uses indirect estimation techniques to assess the disadvantage in life expectancy for Roma and Travellers on session 166 - Methods and Data for Demographic Analysis at #IPC2021! The report can be found here👇 https://t.co/kVxl5Dw4uZ