Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:17.570208Z
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 8 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
Reference resolution
27 of 27 outbound references displayed
- verified exact2
- verified fuzzy24
- unresolved1
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External citation measurements
No source-named external measurement is stored.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.159017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.134915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.113626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 35b7f0a8-792a-4e6a-9cc8-d4e551898856 · outbound
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.093577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.073686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cbbd5bc6-1ff6-49d5-a3a9-6d3034432298 · outbound
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.053863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9194e060-6309-4d7f-8b28-43cd13ae2897 · outbound
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.033535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:18.011437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.991798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.971643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.951192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d1dcd72f-20ad-4ecf-897c-49f7cdd84798 · outbound
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T10:40:17.648434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.930607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.911484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a200d204-72c4-41f1-9b47-3e2c454b9b51 · outbound
This paper cites pmsampsize: Sample Size for Development of a 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: Sample Size for Development of a Prediction Model
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.891316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b3e1acb8-6b79-46c1-9e24-5dc65f64a06b · outbound
This paper cites Adaptive sample size determination for the development of clinical prediction models.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.871287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fe0274b6-ec40-4816-b0f9-b4105a26a46a · outbound
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.852062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 06d425d3-1111-4764-89f0-33a10561c3f4 · outbound
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.830294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 948033f9-c1a5-4bcf-8ee6-3eb34edcd788 · outbound
This paper cites Predictors of high central blood pressure in young with isolated systolic hypertension.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.809788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c3366433-7baa-4a04-a603-7d13305f32b2 · outbound
This paper cites Ethnicity and blood pressure.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.790376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c6190af-226a-4dcb-9e67-6f4abad52e97 · outbound
This paper cites Sex differences in systolic blood pressure response to exercise testing: a real-world clinical 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 Sex differences in systolic blood pressure response to exercise testing: a real-world clinical analysis
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.769584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 331421b5-3937-418b-b0d9-e7fed9138bef · outbound
This paper cites Fundamentals of biostatistics.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.745905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cba0cfcc-c26f-4cdf-8b00-ed818f280b58 · outbound
This paper cites Determinants of lung function across childhood in the Severe Asthma Research Program (SARP) 3.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.725402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0d1ae2e5-661c-497f-81a1-c727c47d5281 · outbound
This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and 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 Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:40:17.705639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.