# 9 lessons from failure mode analysis of critical care syndrome RCT

**URL:** <https://discourse.datamethods.org/t/9-lessons-from-failure-mode-analysis-of-critical-care-syndrome-rct/28923>\
**Category:** modeling strategy\
**Created:** [November 9, 2026, 1:47am UTC](https://discourse.datamethods.org/t/9-lessons-from-failure-mode-analysis-of-critical-care-syndrome-rct/28923 "2026-11-09T01:47:36Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![llynn](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/llynn/32/2827_2.png) [@llynn](https://discourse.datamethods.org/u/llynn)\
**Post date:** [November 9, 2026, 1:47am UTC](https://discourse.datamethods.org/t/9-lessons-from-failure-mode-analysis-of-critical-care-syndrome-rct/28923/1 "2026-11-09T01:47:36Z")

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My quest to reform critical care RCT science dates back more than a decade. My first RCT failure mode analysis paper was a great success and the others recently published. The topic is quite popular. Yet a simple educational means for clinicians has been needed. I provide that here. I felt some heat since I am not a statistician but here I divide the RCT into “structure and statistics” and stay in my lane. I would welcome critique.

> **[CAR / CIR — Trial Design Studio](https://car-cir-teaching-lynn.sproutingibis.chatgpt.site/)**
>
> Lawrence A. Lynn’s teaching workspace for gates, estimands and transportability.