User:Ceeceeful: Difference between revisions
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== Talk Title: | == Talk Title: Measurement error in Epidemiology: a hands-on demonstration of the problem and an introduction to the solutions == | ||
Time: '''Saturday, 3pm-4pm''' | Time: '''Saturday, 3pm-4pm''' | ||
Place: '''Embassy of Nowhere''' | Place: '''Embassy of Nowhere''' | ||
Latest revision as of 15:28, 28 August 2018
| Chris Gray | |
|---|---|
| |
| Talk ~ Sandbox ~ Contributions | |
| Village | Embassy of Nowhere |
| Bringing | [[Bringing::More information about measurement error than you ever wanted to know.|]]More information about measurement error than you ever wanted to know. |
| Arrival | [[Arrival::2018/08/30|]]2018/08/30 |
| Departure | [[Departure::2018/09/02|]]2018/09/02 |
| Contact | |
| Website | cmgray.shinyapps.io |
| [[email::[email address removed]| ]][mailto:[email address removed] [email address removed]] | |
| Interests | |
|
[[Interested in::Interest:Badge|]] Badge,[[Interested in::Interest:BioHacking|]] BioHacking,[[Interested in::Interest:Board Games|]] Board Games,[[Interested in::Interest:Burning|]] Burning,[[Interested in::Interest:Crochet|]] Crochet,[[Interested in::Interest:Hats|]] Hats,[[Interested in::Interest:Lockpicking|]] Lockpicking,[[Interested in::Interest:Maths|]] Maths,[[Interested in::Interest:Open Data|]] Open Data,[[Interested in::Interest:Queer|]] Queer,[[Interested in::Interest:Raspberry Pi|]] Raspberry Pi,[[Interested in::Interest:Tea|]] Tea | |
[[AttendeePagename::Ceeceeful|]]
I will be presenting a talk in the Embassy of Nowhere titled "Measurement error in Epidemiology: a hands-on demonstration of the problem and an introduction to the solutions". This is a glimpse into my PhD thesis in medical statistics. Measurement error in environmental and nutritional exposures are very common. Correction for those errors can be challenging. Most often in epidemiology, such errors are ignored leading to bias in the results. Examples include 1) measurement of blood pressure and the predicted association to later development of cardiovascular disease; and 2) usual alcohol intake and the intriguing J-shaped association with all-cause mortality. While my work is rooted in Bayesian statistics, we'll first ditch the equations and use hands-on demonstrations and real-world explanations to understand the problem. The first 45min of this talk should be relevant and interesting to anyone with any background. Those with more interest in the mathematical side are welcome to stay for the end, and I'll introduce some of the methods I've developed for measurement error correction.
Talk Title: Measurement error in Epidemiology: a hands-on demonstration of the problem and an introduction to the solutions
Time: Saturday, 3pm-4pm Place: Embassy of Nowhere