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Paper Citation Record · LEDGER

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2501.03058.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.03058 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:04:35.187075Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation df669084-d297-4710-ac60-1d2957887978 · outbound

This paper cites Applied survival analysis: regression modeling of time-to-event data, volume 618.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Applied survival analysis: regression modeling of time-to-event data, volume 618

Reference 1

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Observation 9740d391-20bf-4ed1-a401-418f7600c644 · outbound

This paper cites Time-to-event analysi s.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Time-to-event analysi s

Reference 2

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This paper cites Frailty in elderly people.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Frailty in elderly people

Reference 3

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This paper cites Frailty in older adult s.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Frailty in older adult s

Reference 4

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Observation 142db679-fec6-40e8-89e9-2a54c331f2fd · outbound

This paper cites Video capture of the circums tances of falls in elderly people residing in long- term care: an observational study.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Video capture of the circums tances of falls in elderly people residing in long- term care: an observational study

Reference 5

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Observation 7cc9ad95-dfcc-4c3d-9cd6-b767a24bac28 · outbound

This paper cites Understanding modifiable and unmodifiable older adult fall risk factors to create effecti ve prevention strategies.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Understanding modifiable and unmodifiable older adult fall risk factors to create effecti ve prevention strategies

Reference 6

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Observation be58a192-53d3-491b-a157-d80dafd37966 · outbound

This paper cites Investigating the biomechanics of falls in older ad ults in long-term care using a video camera: a scoping review.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Investigating the biomechanics of falls in older ad ults in long-term care using a video camera: a scoping review

Reference 7

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Observation 71aec637-8fa7-49a7-827d-7e3dca236be5 · outbound

This paper cites Goodfellow, Y.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Goodfellow, Y

Reference 8

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This paper cites The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Reference 9

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This paper cites Interpretable and explainable machine l earning: a methods-centric overview with concrete examples.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Interpretable and explainable machine l earning: a methods-centric overview with concrete examples

Reference 10

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This paper cites Interpretation of Time-Series Deep Models: A Survey.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Interpretation of Time-Series Deep Models: A Survey

Reference 11

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This paper cites Deep neural networks and tabular data: A survey.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Deep neural networks and tabular data: A survey

Reference 12

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Logistic regressio n

Reference 13

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Observation 151c2828-0d65-4f32-8663-8a03e28eab93 · outbound

This paper cites S urvival analysis and regression models.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis S urvival analysis and regression models

Reference 14

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This paper cites To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets

Reference 15

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Introduction to probability models

Reference 16

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Observation 3b9acec9-59c8-4319-88ca-cb7ca973a7bd · outbound

This paper cites Statistical regression and classification: from linear mod els to machine learning.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Statistical regression and classification: from linear mod els to machine learning

Reference 17

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This paper cites An introduction to generalized linear models.

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis An introduction to generalized linear models

Reference 18

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Regression models and life-tables

Reference 19

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis A bayesian justification of cox’s partial likelihood

Reference 20

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Survival analysis part i: basic concepts and first analyses

Reference 21

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Survival analysis part ii: multivariate data analysis–an introduction to concepts an d methods

Reference 22

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Source-reported events for the cited work

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Survival analysis part iii: multivari- ate data analysis–choosing a model and assessing its adequa cy and fit

Reference 23

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Survival analysis part iv: further concepts and methods in survival analysis

Reference 24

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Source-reported events for the cited work

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Observation 25df5c29-6146-44c2-8910-32bbbca01127 · outbound

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Proportional hazar ds model: a review

Reference 25

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Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis Fifty years of the cox model

Reference 26

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Source-reported events for the cited work

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