pith:CYJBHKBY
Trust Me, I'm a Doctor?
Combined randomized and observational data yield sharp bounds on how many physicians outperform the trial's best fixed treatment.
arxiv:2605.01050 v3 · 2026-05-01 · stat.AP
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\pithnumber{CYJBHKBYTRE5MP4SKF5ST4VG2V}
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Record completeness
Claims
We define a gain score to formalize this comparison and derive sharp bounds on the proportion of physicians whose personal strategies perform at least as well as, or better than, always choosing the better performing treatment from the trial.
The randomized trial is nested within an observational cohort from the same target population so that outcomes are observed under treatment, control, and usual care.
Sharp bounds are derived on the proportion of physicians whose personal strategies perform at least as well as the trial's better average treatment, using nested randomized and observational data from the same population.
Formal links
Receipt and verification
| First computed | 2026-05-29T02:05:45.520595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
161213a8389c49d63f92517b29f2a6d57f69a0d3a6f4789247294a2bec4d2885
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CYJBHKBYTRE5MP4SKF5ST4VG2V \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 161213a8389c49d63f92517b29f2a6d57f69a0d3a6f4789247294a2bec4d2885
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2026-05-01T19:25:32Z",
"title_canon_sha256": "5eb1155423c5b2c673ac4071dbf9380e7dd90016599b645652a89b1f28be1502"
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