pith:JHUS6MZN
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
Stratified average causal effects combined with restricted mean survival time provide a more complete characterisation of treatment effects when death truncates longitudinal outcomes.
arxiv:2604.26410 v2 · 2026-04-29 · stat.ME · stat.AP
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\pithnumber{JHUS6MZN2JDRFGAEWRPRP3JKS4}
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Record completeness
Claims
The stratified average causal effect, combined with restricted mean survival time, provides a more complete characterisation of treatment effects.
The lack of a natural notion of ordering and distance for outcomes truncated by death leads to an inherently multifactorial problem; assumptions required for identification of the reviewed estimands.
Framework clarifying causal estimands for longitudinal outcomes truncated by death, with Bayesian estimators; stratified average causal effect plus restricted mean survival time gives a more complete treatment effect characterisation.
Receipt and verification
| First computed | 2026-07-07T03:18:56.384927Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49e92f332dd247129804b45f17ed2a9711d024d3b3ab8e534d66d75e92e09efc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JHUS6MZN2JDRFGAEWRPRP3JKS4 \
| 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: 49e92f332dd247129804b45f17ed2a9711d024d3b3ab8e534d66d75e92e09efc
Canonical record JSON
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