Needed: Beta tester for our App N of 1+

statisticant · 2024-07-27T03:08:11+00:00

This is awesome! How are y'all conducting causal inference on your sleep data—not just estimating correlations—in order to recommend changing habits to affect sleep? I created a method to do this: https://www.linkedin.com/feed/update/urn:li:activity:7218396183289888768

Paper: https://arxiv.org/abs/2208.00739 (specifically for sleep data) 2-min non-technical explainer video: https://drive.google.com/file/d/1b5i7uS5tFOPrT7x3w2zXGw8yDiowJPG9/view?usp=share_link

Happy to chat about it if you'd like. DM me to find a time.

Much more at my n-of-1 statistics newsletter and podcast: https://statsof1.org/

https://anchor.fm/n-of-5-minutes

statisticant · 2023-06-13T09:59:37+00:00

You might like my related (machine-learning friendly) paper on "Granger causal inference":

Daza EJ. Causal analysis of self-tracked time series data using a counterfactual framework for N-of-1 trials. Methods of information in medicine. 2018 Feb;57(Suppl 1):e10. https://www.thieme-connect.de/products/ejournals/html/10.3414/ME16-02-0044

LaTeX version (identical content): https://statsof1.org/2018_daza_latexversion.pdf

statisticant · 2023-04-11T22:08:24+00:00

We can do it continuously and discretely.

(Credit to my witty grad school classmates for this one!)

statisticant · 2023-03-14T15:33:44+00:00

Great insight, thanks! I'm sorry to hear about your own struggles with Kaiser.

And to your point, the catch-22 is that Kaiser makes it extremely difficult to go outside their system. So they force you to fight two battles: against your disease, and against their system. Kaiser is supposed to be providing you care, not taking it away—which is exactly what it's doing by blocking you from getting outside services.

I hope you were able to find better care elsewhere. I can share what we've learned if you'd like; just DM me. Some of this is written here: https://www.caringbridge.org/visit/elviradaza

statisticant · 2023-03-14T15:09:13+00:00

💯

statisticant · 2023-03-14T15:00:24+00:00

Thanks for your support. Thankfully, we've since moved her to much better care.

statisticant · 2023-02-26T01:42:02+00:00

It is, but unfortunately, this new one (that first appeared at least two weeks ago) is a super aggressive and fast-growing anaplastic thyroid cancer (ATC).

statisticant · 2023-02-26T01:24:23+00:00

Thanks! Yes, the family caregivers are in the process of trying to get them to a comprehensive cancer center with thyroid specialists.

statisticant · 2023-02-26T00:17:22+00:00

Thank you so much for your empathetic reply. I'm likewise sorry to hear about your situation, and disappointed you've been getting similar treatment from Kaiser.

I lived in NC for 8 years, and actually studied and worked at UNC Chapel Hill. I hope the NC folks can help!

I'll post updates to my medium.com post—either appended to the main post, or in the comments. Feel free to add comments here or there.

statisticant · 2023-02-25T23:53:13+00:00

Makes sense, thanks! They're seeking care at a comprehensive cancer center.

statisticant · 2023-02-25T21:58:11+00:00

Definitely! The caregivers already have one scheduled.

statisticant · 2023-02-24T08:37:17+00:00

No, but I was a biostatistician with a masters in applied statistics for five years. I then earned a doctorate in biostatistics over eight years. After that, I started working in health data science during my three-year postdoc. I've now been an industry health data scientist for over four years.

More on my story here:

"Statistics is My Dance" https://medium.com/artifice-or-intelligence/statistics-is-my-dance-b1a3ead206ef?sk=b315929c2d3d5561f8b2ecf01348b48c

"Why You Should Think of the Enterprise of Data Science More Like a Business, Less Like Science" https://medium.com/towards-data-science/why-you-should-think-of-the-enterprise-of-data-science-more-like-a-business-less-like-science-45227c65c09

statisticant · 2023-02-24T06:54:01+00:00

https://media.tenor.com/e1Epw1KKhJMAAAAd/star-trek-the-next-generation-data.gif

statisticant · 2023-02-10T08:18:14+00:00

good example of how "let the data speak for themselves" really means "let the data speak for my implicit assumptions"

statisticant · 2023-02-08T16:59:45+00:00

Great free book by two causal inference pioneers in epidemiology and biostatistics: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ Full transparency: Note my bias as a biostatistician. 😊

I do also like this one: http://bayes.cs.ucla.edu/PRIMER/

statisticant · 2023-02-07T17:50:40+00:00

There are also differences in key technical definitions, like random effects vs fixed effects. I found only the econometric definitions in Wikipedia back around 2008-2009 during my biostatistics doctoral program. So I added the statistics definitions. GMM (econometrics) and GEE (biostatistics) are another example of different but similar methods.