Patrick Lazarevic

@[email protected]
24 Followers
35 Following
36 Posts
Social scientist focusing on survey methodology and the measurement of health
Head Survey Methodologist at Austrian Socio-Economic Panelhttps://statistik.at/asep
My dissertationhttps://tinyurl.com/DissLazarevic
Twitterhttps://tinyurl.com/TwitterLazarevic
ResearchGatehttps://tinyurl.com/RGLazarevic
Patrick LazarevicDec 4, 2024

Das ASEP sucht Verstärkung!

Zur Verstärkung unseres Daten-Teams suchen wir jemanden an der Schnittstelle Data Science und Sozialwissenschaft.

Interessiert an einem Job in Wien? Details gibt es hier: https://www.statistik.at/fileadmin/extensions/career/807.pdf

Patrick LazarevicDec 3, 2024
Patrick LazarevicNov 25, 2024

Der 17. Workshop der Panelsurveys im deutschsprachigen Raum wird am 13. und 14. März 2025 in Wien stattfinden!

Den Call mit allen Infos findet Ihr anbei, die Deadline ist der 07.01.2025.

Einsendungen und Rückfragen bitte an [email protected]. Wir freuen uns auf Euch!

Patrick LazarevicNov 25, 2024

Der 17. Workshop der Panelsurveys im deutschsprachigen Raum wird am 13. und 14. März 2025 in Wien stattfinden!

Den Call mit allen Infos findet Ihr anbei, die Deadline ist der 07.01.2025.

Einsendungen und Rückfragen bitte an [email protected]. Wir freuen uns auf Euch!

Patrick LazarevicDec 15, 2023
@kjhealy Thanks for talking about the problems with stacked bar graphs - major pet peeve of mine!
Show threadPatrick LazarevicDec 14, 2023
I gratefully acknowledge the funding provided by the European Research Council for the project LETHE as well as the support by ÖAW and WIC for the research group Health and Longevity! They are who made the publication, especially as open access, possible! (11/11)
Show threadPatrick LazarevicDec 14, 2023
Summing up (thanks for bearing with me!): MEHM-data are widely available and using GSEM to combine them into a single, interval-scaled indicator of health is possible and results in a less biases health estimate than SRH. (10/11)
Show threadPatrick LazarevicDec 14, 2023
Anything above the red line(s) are significant 'biases'. We see that education and age biases were not significant for men using MEHM(+) but for SRH. Nominally, this is also true for women. Also generally for income and optimism. Great! (9/11)
Show threadPatrick LazarevicDec 14, 2023
That's great - but a little unidimensional. To dig a little deeper, I chose an approach I already used for a different paper: controlling as much health information as possible, then analyzing the residuals to identify biases: https://twitter.com/PatLazarevic/status/1627718290146570240 (8/11)
Patrick Lazarevic (@PatLazarevic) on X

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)

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Show threadPatrick LazarevicDec 14, 2023

Great, but are these indicators any good?

At least they seem to reduce age biases. Using the same subjective question, younger people tend to underestimate their 'objective' health, older people overestimate. MEHM(+) reduces this, making the responses more comparable. (7/11)

Show threadPatrick LazarevicDec 14, 2023

It does! I extracted an indicator from MEHM and MEHM+. MEHM +also includes pain and multimorbidity, which are also important for rating one's health: https://twitter.com/PatLazarevic/status/1604802411561984000

GSEM is flexible for adding more variables if you have them! (6/11)

Patrick Lazarevic (@PatLazarevic) on X

Finally, I'm happy to announce that @amelieqv 's and my article on the determinants of self-rated health and its changes is open access! #SelfRatedHealth #epitwitter https://t.co/jViAI51ZaY

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