CMH SCIENTIFIC

CTF · Clinical Trial Falsifier

Tests whether an apparent responder subgroup is real by running the identical procedure on patients who received placebo — before a trial is designed around it.
Interactive demo
Adjustable illustrative cohort
CLS validated · ALS PRO-ACT
CTF verdict
claim-test exposure · 0–100 illustrative
Observed mean effect
illustrative endpoint units
Opposed response mass
latent sign contradiction
Placebo calibration gap
same subgroup rule on control
Evidence shortfall
points below this claim’s test threshold
CTF principle: an apparent responder pattern has to survive a placebo negative-control procedure before it should be treated as treatment-specific. The broader claim ladder then shows what the same trial can and cannot support about population benefit, subgroup uniformity, biomarkers, or mechanism. The adjustable cohort is illustrative; the placebo-control falsification evidence is grounded in ALS PRO-ACT.

Trial response field

interactive illustrative cohort
Without CTF · treatment-only story

With CTF · identical rule on placebo

benefit branchnon-benefit / harm branchcontrolsolid line = observed arm mean

Claim ladder

same trial, different claims

Next trial-design actions

trial-design logic

Validation & data provenance

The adjustable cohort on this page is illustrative. The falsification / CLS evidence is grounded in the pooled PRO-ACT ALS placebo-control experiment reported on Research Square.

PRO-ACT ALS clinical-trial validation2,445 patients · 54,007 landmark–horizon pairs
Held-out horizons60, 90, and 180 days; active- and placebo-arm prognostic laws evaluated in held-out patients
Negative-control testThe same apparent responder/harm procedure was applied to placebo patients to measure its false-positive behavior
Boundary: the sliders generate an illustrative response field so a viewer can see the logic move. They are not the validation cohort. The empirical falsification basis is PRO-ACT; no individual treatment effect is inferred from prognostic residuals alone.
Dataset / validation references
  1. Atassi N, Berry J, Shui A, et al. The PRO-ACT database: design, initial analyses, and predictive features. Neurology. 2014;83(19):1719–1725. doi:10.1212/WNL.0000000000000951.
  2. Ewing MA. Prediction Error Masquerades as Individual Treatment Response: A Placebo-Controlled Falsification Study in Pooled ALS Trials. Research Square. 2026. doi:10.21203/rs.3.rs-10898606/v1.