Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:14:04.690164Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2411.14542.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:14:04.690164Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b29935ae-b886-4a25-9130-56a8b7f45502 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
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Combining missing data imputation and internal validation in clinical risk prediction models Marshall, D
Reference 3
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Combining missing data imputation and internal validation in clinical risk prediction models Marshall, D
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 5
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Combining missing data imputation and internal validation in clinical risk prediction models mice: Multivariate imputation by chained equations in r
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
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Combining missing data imputation and internal validation in clinical risk prediction models Sperrin, G
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Combining missing data imputation and internal validation in clinical risk prediction models D’Agostino McGowan, S
Reference 9
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Combining missing data imputation and internal validation in clinical risk prediction models Fletcher Mercaldo and J
Reference 10
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 11
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 12
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 13
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Observation 252c5447-10dc-42c0-a5ff-bf7be219fcb3 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Schomaker and C
Reference 14
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Combining missing data imputation and internal validation in clinical risk prediction models R: A Language and Environment for Statistical Computing
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 16
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 17
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 18
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Observation cba8a634-5559-4aba-ac9a-a99ce631bb61 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Harrell, F
Reference 19
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 20
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Combining missing data imputation and internal validation in clinical risk prediction models Efron and R
Reference 21
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Combining missing data imputation and internal validation in clinical risk prediction models Gerds and M.W
Reference 22
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 23
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Combining missing data imputation and internal validation in clinical risk prediction models van Buuren
Reference 24
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Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 25
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Combining missing data imputation and internal validation in clinical risk prediction models purrr: Functional Programming Tools, 2023
Reference 26
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Observation 4df30998-0aed-4fcb-971a-5d3b2b486a3e · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 27
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Observation 0dd9cc9b-487d-4fbd-9601-281f2f053750 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks, 2023
Reference 28
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Observation 8d67e69a-3f9c-44a2-8752-e38eff4cb141 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models A Package for Survival Analysis in R, 2024
Reference 29
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Observation de71fd32-580e-47c7-93ec-ef559cc157c7 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Therneau and Patricia M
Reference 30
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Observation 94826a70-466b-45c3-a06d-3f5eec9ad486 · outbound
Combining missing data imputation and internal validation in clinical risk prediction models Unresolved cited work
Reference 31
Source-reported events for the cited work
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No inbound Pith citation observations are available.