• http://errorstatistics.com/2014/07/26/s-senn-responder-despondency-myths-of-personalized-medicine-guest-post
• Roy Zigelstein JAMA Int Med: Personomics, pub online 2015-04-13
• http://jama.jamanetwork.com/article.aspx?articleID=2488305&utm_source=Silverchair%20Information%20Systems&utm_medium=email&utm_campaign=MASTER%3AJAMALatestIssueTOCNotification02%2F09%2F2016http://jama.jamanetwork.com/article.aspx?articleID=2488305&utm_source=Silverchair%20Information%20Systems&utm_medium=email&utm_campaign=MASTER%3AJAMALatestIssueTOCNotification02%2F09%2F2016
• https://darrendahly.github.io/post/2017-08-11-response-heterogeneity
• https://www.nature.com/articles/d41586-018-07535-2 (Stephen Senn, Nature, 2018)
• https://nam.edu/caring-for-the-individual-patient-special-publication
• https://youtu.be/uiCd9m6tmt0
• https://theoncologist.onlinelibrary.wiley.com/doi/10.1634/theoncologist.2013-0210

High Promise

• https://www.researchgate.net/publication/322341189_Does_evidence_support_the_high_expectations_placed_in_precision_medicine_A_bibliographic_review

High-dimensional HTE - Kaidi Kang

I searched the papers related to PCA & HTE, and I found that the performance of PCA in the detection of HTE hasn’t been studied much yet. I only found a paper talking about using PCA to form (or “to help form”) a composite measure to identify subgroups in terms of HTEs, but it only explored this possibility through an example (so they can only conclude a nearly non-informative conclusion – “it may be helpful”). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769476/I also found a paper talking about estimating HTE in high-dimensional data, but it didn’t cover the method of PCA. https://web.stanford.edu/~hastie/Papers/PM_Powers_SIM.pdf

Quotes

• In my very first publication, I already argued that “individualised” medicine and nutrition is about groups that, with immense innovation, can be made a little smaller. Even most of those selling the promise seem to see the rhetoric as a metaphor. Bart Penders.