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Paper Citation Record · LEDGER

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.23548.

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

pith.paper-citation-record.v1
2507.23548 v1

Coverage vector

measured 27 of 27 reference resolution

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation cd93caf8-ad02-445a-a868-1d740015eeef · outbound

This paper cites Development and validation of a prognostic model to predict birth weight: individual participant data meta- analysis.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Development and validation of a prognostic model to predict birth weight: individual participant data meta- analysis

Reference 1

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Observation 6bc8d35c-c7fa-4631-aa3e-71eb73afbde8 · outbound

This paper cites Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches

Reference 2

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Observation 2ad09f7a-9894-48ea-9c7e-0bb237edc419 · outbound

This paper cites Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating [Internet].

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating [Internet]

Reference 3

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Observation b8f1e4a2-3c40-4a3e-87b3-dc2cb8f4b5e9 · outbound

This paper cites Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient

Reference 4

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Observation c7654fef-8f17-4c17-b263-a1ca767c3aad · outbound

This paper cites Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review

Reference 5

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This paper cites Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

Reference 6

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Source-reported events for the cited work

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Observation 1c4ed8f5-df28-4eda-bba6-ad56366e4482 · outbound

This paper cites Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

Reference 7

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Source-reported events for the cited work

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This paper cites Stability of clinical prediction models developed using statistical or machine learning methods.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Stability of clinical prediction models developed using statistical or machine learning methods

Reference 8

Resolution
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Source-reported events for the cited work

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This paper cites Clinical prediction models and the multiverse of madness.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Clinical prediction models and the multiverse of madness

Reference 9

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Source-reported events for the cited work

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Observation 241a2e67-1b1a-467f-bead-df954f21aaf5 · outbound

This paper cites Importance of sample size on the quality and utility of AI-based prediction models for healthcare.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Importance of sample size on the quality and utility of AI-based prediction models for healthcare

Reference 10

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Source-reported events for the cited work

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Observation f4c6a17d-e11f-4f36-ad30-c39231c77913 · outbound

This paper cites TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Reference 11

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verified fuzzy
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Source-reported events for the cited work

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Observation 68c5df57-9f2e-4ae0-b38b-da0739e457b3 · outbound

This paper cites Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Reference 12

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Source-reported events for the cited work

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Observation a33938af-a895-4554-8011-4e3dca0fe2b1 · outbound

This paper cites Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease

Reference 13

Resolution
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Source-reported events for the cited work

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Observation abb18ffa-7fb5-4ddf-b743-c114294ee7e6 · outbound

This paper cites A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes

Reference 14

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This paper cites A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes

Reference 15

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Observation df0b867a-d3eb-42ea-9418-d5b366f58b0c · outbound

This paper cites Calculating the sample size required for developing a clinical prediction model.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Calculating the sample size required for developing a clinical prediction model

Reference 16

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Source-reported events for the cited work

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Observation 47f3cf3f-8983-4ec3-8935-73b03e8740e1 · outbound

This paper cites PMSAMPSIZE: Stata module to calculate the minimum sample size required for developing a multivariable prediction model.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes PMSAMPSIZE: Stata module to calculate the minimum sample size required for developing a multivariable prediction model

Reference 17

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes pmsampsize: Sample Size for Development of a Prediction Model

Reference 18

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Adaptive sample size determination for the development of clinical prediction models

Reference 19

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This paper cites A guide to systematic review and meta-analysis of prognostic factor studies.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes A guide to systematic review and meta-analysis of prognostic factor studies

Reference 20

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This paper cites Predictors of systolic blood pressure response to treadmill exercise: the Lipid Research Clinics Program Prevalence Study.

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Predictors of systolic blood pressure response to treadmill exercise: the Lipid Research Clinics Program Prevalence Study

Reference 21

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Predictors of high central blood pressure in young with isolated systolic hypertension

Reference 22

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Ethnicity and blood pressure

Reference 23

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Sex differences in systolic blood pressure response to exercise testing: a real-world clinical analysis

Reference 24

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Fundamentals of biostatistics

Reference 25

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Source-reported events for the cited work

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Determinants of lung function across childhood in the Severe Asthma Research Program (SARP) 3

Reference 26

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Source-reported events for the cited work

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

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