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Culture War Roundup for the week of April 8, 2024

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You will sometimes see a medical study described as a "blinded randomized controlled trial" and other medical studies as an "open label randomized controlled trial". Whether a study is blinded or open-label is a separate issue from having a control group and separate again from having random assignment to treatment. The Wikipedia page on GRADE doesn't mention blinding. Checking the website of the National Institute for Clinical Excellence (NICE) the reference to randomized controlled trials does not mention blinding.

A study on breast augmentation can qualify as a randomized controlled trial, generating top quality evidence, with the following design: recruit 200 subjects. Randomly assign 100 to have the operation. The others are the control group. Researchers must keep in touch with the all 200 to find out how things worked out for them.

Keeping in touch with all 200 might be tricky. Some of those in the trial group might be disappointed with the results of the surgery and feeling disillusioned with medical intervention may reject further contact with the trial. Some of those in the control group may interpret being rejected for surgery as being rejected from the trial and disappear. Such people are lost to follow up. How to analyse a trial with large loses to follow up is controversial. Do we blandly say "we don't know"? Should we interpret losses from the trial group as bad outcomes? One might vary the design. 100 breast augmentations. 50 get psychotherapy that aims to persuade them that they don't need breast augmentation. 50 get regular contact to keep in touch, but bland contact, merely reminding then that they also serve who only stand and wait.

Scott's deep dive into Alcoholics Anonymous is my goto article for the practical importance of having a control group. Or should that be the disappointing effect of control groups?

If a trial does not have randomization, it is vulnerable to Simpson's Paradox. One may find that a medical treatment is beneficial, but partitioning the data into two exhaustive and mutually exclusive subgroups, find that the treatment is harmful to one of the subgroups and also harmful to the other subgroup. Wut? The analysis may collapse into baffling incoherence. Actually it is worse than that. The laws of arithmetic are chaotic evil, and permit that a conclusion that has been reversed by one partition may yet be swapped back by a finer one (if the Chrome browser objects to a faulty certificate, using incognito mode will work.)

The two issues, of needing a control group, and of needing randomization, are widely understood; I would not expect Dr Hilary Cass to restate the arguments in her report.

Edited to fix link to Simpsons Paradox, spotted error way too late :-(