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pith:Q47KNYFT

pith:2026:Q47KNYFTD2MI2ZOMJNMKLOJ3V5
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Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores

Siyu Heng, Yanxin Shen, Zijian Guo

Propensity score propagation achieves nominal coverage for design-based inference when propensity scores are unknown and estimated from data.

arxiv:2601.13150 v3 · 2026-01-19 · stat.ME

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\pithnumber{Q47KNYFTD2MI2ZOMJNMKLOJ3V5}

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4 Citations open
5 Replications open
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Claims

C1strongest claim

Theoretical and simulation studies show that the proposed framework achieves nominal coverage, even in settings where conventional approaches exhibit substantial under-coverage.

C2weakest assumption

That the regeneration-and-union procedure correctly propagates uncertainty from propensity score estimation into the design-based inference without violating the finite-population properties or introducing bias that the theory does not account for.

C3one line summary

Propensity score propagation is a general framework that achieves nominal coverage for design-based inference by propagating uncertainty from both parametric and nonparametric propensity score estimates via a regeneration-and-union procedure.

Receipt and verification
First computed 2026-06-05T01:14:33.287629Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

873ea6e0b31e988d65cc4b58a5b93baf7b80a92f365bb0ecf0a11185d216b036

Aliases

arxiv: 2601.13150 · arxiv_version: 2601.13150v3 · doi: 10.48550/arxiv.2601.13150 · pith_short_12: Q47KNYFTD2MI · pith_short_16: Q47KNYFTD2MI2ZOM · pith_short_8: Q47KNYFT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q47KNYFTD2MI2ZOMJNMKLOJ3V5 \
  | 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: 873ea6e0b31e988d65cc4b58a5b93baf7b80a92f365bb0ecf0a11185d216b036
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-01-19T15:32:09Z",
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