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Meredith Phillips Profile
Meredith Phillips

@mlreid

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T32 PostDoc in Population Neuroscience at Pitt, research interests: neuroimaging, cognitive decline, social epidemiology, health disparities. Mom to 2 boys

Indianapolis, IN
Joined November 2008
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@mlreid
Meredith Phillips
7 months
I am headed to Capitol Hill with @geronsociety! We are advocating for science and aging research funding through @NIH and @NIHAging. This is a new experience for me, and I'm excited to talk about my work in aging research and the impact it has on all people.
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@mlreid
Meredith Phillips
7 months
I am headed to Capitol Hill with @geronsociety! We are advocating for science and aging research funding through @NIH and @NIHAging. This is a new experience for me, and I'm excited to talk about my work in aging research and the impact it has on all people.
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@mlreid
Meredith Phillips
1 year
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@mlreid
Meredith Phillips
1 year
They were able to connect the HAALSA cohort back to the underlying census data in Agincourt, South Africa to identify people who would have been eligible to enroll had they survived to baseline. They were able to identify 9000+ premature deaths in the source population #SER2024
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@mlreid
Meredith Phillips
1 year
We can use different methods to addresss censoring from death during a study, from prebaseline mortality, but what can we do about pre-selection mortality? #SER2024
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@mlreid
Meredith Phillips
1 year
Erika Beidelman is presenting a talk at #SER2024 entitled "Using target population data to address selective survival in an aging cohort: Findings from the HAALSI study" @epiresearch
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@mlreid
Meredith Phillips
1 year
@epiresearch There are some identifiability assumptions for death. 1. Exchangability, 2. Positivity, 3. Consistency. #SER2024
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@mlreid
Meredith Phillips
1 year
@epiresearch What are competing events? Ones that preclude the outcome of interest #SER2024 @epiresearch
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@mlreid
Meredith Phillips
1 year
L. Paloma Rojas-Saunero is presenting "When survival bias is not truly a bias, but rather the correct answer to the wrong question" #SER2024 @epiresearch
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@mlreid
Meredith Phillips
1 year
Is there evidence of selective survival by race? It depends on demographics! Evidence presented from HRS #SER2024 @epiresearch
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@mlreid
Meredith Phillips
1 year
Alexis Reeves is talking about Black-White Differences in “Weathering”: Examining the Cross-Over Phenomenon for Disparities Research at #SER2024 @epiresearch
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@mlreid
Meredith Phillips
1 year
Solutions survival bias? 1. Conduct a trial, a target trial, or instrumental variable 2. Start study before events have occurred, 3. Take advantage of pops with different structure of competing risks, 4. Use assoc with age at recruitment, 5. Don't do it #SER2024 @epiresearch
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@mlreid
Meredith Phillips
1 year
Dr. Schooling is at #SER2024 talking about making survival bias explicit in our DAGs, selection diagrams, and in our wording. @epiresearch
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@mlreid
Meredith Phillips
1 year
I'm excited to hear about #selectivesurvival at #SER2024. There are still some seats available in waterloo 1/2
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@mlreid
Meredith Phillips
2 years
Honored to be recognized by @iusphb at the awards gala tonight. Thank you so much for this opportunity, and all the others I've received since starting my PhD.
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@mlreid
Meredith Phillips
2 years
So lucky to have @JarekHarezlak on my committee. He makes me a better scientist (he is also incredibly kind!)
@PTenigma
Paul Thompson
3 years
Brilliant lecture TODAY by @JarekHarezlak using brain connectivity to guide predictive models; use cortical measures to predict outcomes but, if your dataset is small, you can encourage connected or close regions to have similar coefficients; more here: https://t.co/DSX6xcYTGP
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@mlreid
Meredith Phillips
3 years
Having a great first day at #PAA2023 with @c_rishika, Erika, and Janet. It's also been quite busy, as the three of them presented their awesome work (unfortunately at the same time...I wish I could be in three places at once!)
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@mlreid
Meredith Phillips
3 years
Just landed in New Orleans for #PAA2023 with @c_rishika (and others without twitter) So excited to engage with some great population science (also, come see my poster on Friday!)
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@GidMK
Health Nerd
3 years
The primary analysis of meta-analyses should be based on only studies rated as high quality/low risk of bias. If there are no such studies in the review, the primary finding should be "no high-quality evidence exists to address this question" Discuss
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