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Paper Citation Record · LEDGER

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2512.02182.

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

pith.paper-citation-record.v1
2512.02182 v3

Coverage vector

measured 46 of 46 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 4da6becb-db8f-4868-9030-d6823fecaf4c · outbound

This paper cites Use of EHRs data for clinical research: historical progress and current applications.Learning Health Systems.2019;3(1):e10076.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Use of EHRs data for clinical research: historical progress and current applications.Learning Health Systems.2019;3(1):e10076

Reference 1

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Observation d3f2daf9-fa27-4be7-9523-18321ae01c2d · outbound

This paper cites Electronic Health Records in Epidemiology: Appropriate Questions, Common Biases, and Potential Sensitivity Analyses.Current Epidemiology Results.2025;12(11).

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Electronic Health Records in Epidemiology: Appropriate Questions, Common Biases, and Potential Sensitivity Analyses.Current Epidemiology Results.2025;12(11)

Reference 2

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Observation 04004ca0-0913-44e6-a6a0-b82d39451fda · outbound

This paper cites The impact of data quality and source data verification on epidemio- logic inference: a practical application using HIV observational data.BMC Public Health.2019;19(1):1748.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases The impact of data quality and source data verification on epidemio- logic inference: a practical application using HIV observational data.BMC Public Health.2019;19(1):1748

Reference 3

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Observation 1019fcac-8e45-49a8-9fb6-28b9f7954aa8 · outbound

This paper cites Measuring the quality of observational study data in an international HIV research network.PloS One.2012;7(4):e33908.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Measuring the quality of observational study data in an international HIV research network.PloS One.2012;7(4):e33908

Reference 4

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Source-reported events for the cited work

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Observation eb27a43f-61b2-4fed-bb87-44908ddbab85 · outbound

This paper cites Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa.Journal of Clinical and Translational Science.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa.Journal of Clinical and Translational Science

Reference 5

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Observation 579d6e1c-ccc3-4342-9636-a4335fc616fe · outbound

This paper cites Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records.Journal of Biomedical Informatics.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records.Journal of Biomedical Informatics

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7c741276-6098-43f3-bc0c-d5d4bc7ccb97 · outbound

This paper cites Multiwave validation sampling for error-prone electronic health records.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Multiwave validation sampling for error-prone electronic health records

Reference 7

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Source-reported events for the cited work

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Observation 4efd55e9-a88e-4d08-8c86-350e8b13ed80 · outbound

This paper cites Systems of protocol review, quality assurance, and data audit.Cancer Chemotherapy and Pharmacology.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Systems of protocol review, quality assurance, and data audit.Cancer Chemotherapy and Pharmacology

Reference 8

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Observation 0b63951a-6cb1-442b-8c6f-236f21d03b94 · outbound

This paper cites Two-phase analysis and study design for survival models with error-prone exposures.Statistical Methods in Medical Research.2020;30(3):857-874.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Two-phase analysis and study design for survival models with error-prone exposures.Statistical Methods in Medical Research.2020;30(3):857-874

Reference 9

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Observation 7c1176fb-c302-4d2a-909e-4d8ed1513e90 · outbound

This paper cites Validation data-based adjustments for outcome misclassification in logistic regression: An illustration.Epidemiology.2011;22(4):589-597.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Validation data-based adjustments for outcome misclassification in logistic regression: An illustration.Epidemiology.2011;22(4):589-597

Reference 10

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Source-reported events for the cited work

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Observation 8037664e-567d-492b-8450-43d18cfda176 · outbound

This paper cites Binary Regression with Differentially Misclassified Response and Exposure Variables.Statistics in Medicine.2015;34(9):1605-1620.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Binary Regression with Differentially Misclassified Response and Exposure Variables.Statistics in Medicine.2015;34(9):1605-1620

Reference 11

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This paper cites A two stage design for the study of the relationship between a rare exposure and a rare disease.American Journal of Epidemiology.1982;115(1):119–128.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases A two stage design for the study of the relationship between a rare exposure and a rare disease.American Journal of Epidemiology.1982;115(1):119–128

Reference 12

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Observation e8e4a725-8e6f-433a-b4db-a30aeec072b8 · outbound

This paper cites an unresolved cited work.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Unresolved cited work

Reference 13

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Observation d20fd91b-3cc8-490d-afba-1e6f591b718e · outbound

This paper cites Optimal multiwave validation of secondary use data with outcome and exposure misclassification.Canadian Journal of Statistics.2023.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Optimal multiwave validation of secondary use data with outcome and exposure misclassification.Canadian Journal of Statistics.2023

Reference 14

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Observation 5f6ba9a7-8b2a-4fe7-bfa1-61063c4e81ff · outbound

This paper cites Response-dependent two-phase sampling designs for biomarker studies.Canadian Journal of Statistics.2014;42(2):268–284.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Response-dependent two-phase sampling designs for biomarker studies.Canadian Journal of Statistics.2014;42(2):268–284

Reference 15

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Observation 46bd0035-0344-4779-b665-4e86503a41c0 · outbound

This paper cites Optimal designs of two-phase studies.Journal of the American Statistical Association.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Optimal designs of two-phase studies.Journal of the American Statistical Association

Reference 16

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Observation fcb6441b-9448-4e7a-9a34-f86caf3b597c · outbound

This paper cites The use of extreme groups in assessing relationships.Psychometrika.1975;40(4):563– 572.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases The use of extreme groups in assessing relationships.Psychometrika.1975;40(4):563– 572

Reference 17

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Observation 0c4fc7fd-01d9-481d-9eb6-be6188b02cef · outbound

This paper cites Transmission-disequilibrium tests for quantitative traits..American Journal of Human Genetics.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Transmission-disequilibrium tests for quantitative traits..American Journal of Human Genetics

Reference 18

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Observation 1f0345de-7ed9-4fb2-ac7c-69b08cd35b04 · outbound

This paper cites The use of extreme groups to test for the presence of a relationship.Psychometrika.1961;26(3):307–316.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases The use of extreme groups to test for the presence of a relationship.Psychometrika.1961;26(3):307–316

Reference 19

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Observation 83e37b6d-b1cb-4c33-9161-0d1b46b89e7f · outbound

This paper cites Quantitative trait analysis in sequencing studies under trait-dependent sampling.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Quantitative trait analysis in sequencing studies under trait-dependent sampling

Reference 20

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Observation 61c3e667-15c2-4629-af21-748ea7503c35 · outbound

This paper cites Extreme discordant sib pairs for mapping quantitative trait loci in humans.Science.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Extreme discordant sib pairs for mapping quantitative trait loci in humans.Science

Reference 21

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Observation 16d664ed-068c-455d-8ab5-5e07c9d29688 · outbound

This paper cites Optimal allocation in stratified cluster-based outcome-dependent sampling designs.Statistics in Medicine.2021;40(18):4090–4107.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Optimal allocation in stratified cluster-based outcome-dependent sampling designs.Statistics in Medicine.2021;40(18):4090–4107

Reference 22

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Source-reported events for the cited work

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Observation 213e9673-2632-4ae4-adec-4837968c7874 · outbound

This paper cites Outcome-dependent sampling: an efficient sampling and inference procedure for studies with a continuous outcome..Epidemiology.2007;18(4):461–468.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Outcome-dependent sampling: an efficient sampling and inference procedure for studies with a continuous outcome..Epidemiology.2007;18(4):461–468

Reference 23

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Observation 50835545-444b-4c7f-8c01-6764114e53c5 · outbound

This paper cites Efficient designs and analysis of two-phase studies with longitudinal binary data.Biometrics.2024;80(1):ujad010.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Efficient designs and analysis of two-phase studies with longitudinal binary data.Biometrics.2024;80(1):ujad010

Reference 24

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This paper cites Two-phase designs with current status data.Statistics in Medicine.2023;42(8):1207–1232.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Two-phase designs with current status data.Statistics in Medicine.2023;42(8):1207–1232

Reference 25

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This paper cites Multi-objective optimization.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Multi-objective optimization

Reference 26

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Source-reported events for the cited work

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Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Unresolved cited work

Reference 27

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Observation 8fce3639-6f4d-4694-ac9a-f25d4db714c6 · outbound

This paper cites Chapter 1 - Dietary Assessment Methodology.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Chapter 1 - Dietary Assessment Methodology

Reference 28

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Observation 9f479701-fdab-41d0-83a4-325e5bd41a42 · outbound

This paper cites Regression with missing X’s: A review.Journal of the American Statistical Association.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Regression with missing X’s: A review.Journal of the American Statistical Association

Reference 29

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Observation a0c73817-5b58-41da-81ab-9e5313b34f1e · outbound

This paper cites A semiparametric empirical likelihood method for data from an outcome-dependent sampling scheme with a continuous outcome.Biometrics.2002;58(2):413–421.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases A semiparametric empirical likelihood method for data from an outcome-dependent sampling scheme with a continuous outcome.Biometrics.2002;58(2):413–421

Reference 30

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Observation 80b4157f-cfbc-4824-b1fd-e7d7c97fb264 · outbound

This paper cites Optimal experiment design with applications to Pharmacokinetic modeling.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Optimal experiment design with applications to Pharmacokinetic modeling

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.155907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:4b366439f257a31e69436ab3423cddd5d9acd1d580d90ce4b9332fc9c9cee8f0

Observation 4e756030-d795-4301-8e84-098c66a93d73 · outbound

This paper cites Adaptive sampling in two-phase designs: a biomarker study for progression in arthritis.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Adaptive sampling in two-phase designs: a biomarker study for progression in arthritis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.153035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:68ba71245c825fcb5325bb57077b20d5882a4acddb1e964095c5d171b2971e85

Observation 151295c9-c76d-4cfc-b26a-39a5bc1aa1be · outbound

This paper cites The ‘Why’ behind including ‘Y’ in your imputation model.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases The ‘Why’ behind including ‘Y’ in your imputation model

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.150763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:f13084409c5aabd2be8359ccc1afb1fb73751e6ca77240bc666f75e3e2df8052

Observation ecf31a34-2716-463f-9194-df494b257075 · outbound

This paper cites mice: Multivariate Imputation by Chained Equations in R.Journal of Statistical Software.2011;45(3):1-67.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases mice: Multivariate Imputation by Chained Equations in R.Journal of Statistical Software.2011;45(3):1-67

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.145377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:fce7e4f3ef2f41e4d1cbfc41f5390245e1ddd1b5a4981b8781cc0dbd218de43f

Observation 6115cd42-0920-4bb6-be4a-5ac05a1b2f85 · outbound

This paper cites Using the outcome for imputation of missing predictor values was preferred.Journal of Clinical Epidemiology.2006;59(10):1092–1101.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Using the outcome for imputation of missing predictor values was preferred.Journal of Clinical Epidemiology.2006;59(10):1092–1101

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.148570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:295c2e554ab5bc07b19ef2a2abf5d72aea3351d20fef68645e82127980df35cc

Observation e818ba35-2f1b-4fd1-84fb-856c330b884e · outbound

This paper cites an unresolved cited work.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:24:17.145874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:1bae5d44719c258c65020b6ed88a2043c6ee2f04eb61a487c1143df1e95d2b4c

Observation 4b37dff2-1c03-420d-bfcd-98e8760fc52c · outbound

This paper cites Two Methods to Estimate Fruit and Vegetable Intake of Adults, What We Eat in America, NHANES 2009-2010.The FASEB Journal.2015;29(S1):597.6.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Two Methods to Estimate Fruit and Vegetable Intake of Adults, What We Eat in America, NHANES 2009-2010.The FASEB Journal.2015;29(S1):597.6

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.144089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:ceda9420a95d58e51dbd422f413845b5a98b4bfd9a0d3cc745910c091ccf3249

Observation d046d4aa-6f64-4cfd-bda0-9203305dd83f · outbound

This paper cites Department of Agriculture, Agricultural Research Service.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Department of Agriculture, Agricultural Research Service

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.139194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:7e876d2493c9e066153340b0494badb2a7202e1deacba4e725327b7c1726c3d7

Observation 0ca2c1ea-7f4f-4a96-8e92-76f721fb6327 · outbound

This paper cites Vitamin D and intestinal calcium absorption.Molecular and Cellular Endocrinology.2011;347(1):25-29.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Vitamin D and intestinal calcium absorption.Molecular and Cellular Endocrinology.2011;347(1):25-29

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.142174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:0ad457b67ac484debda8fcc818d0db4a8d447ff3756f0dc071c3f19a39ddd77c

Observation 8f9a1cdc-2d72-42cb-99be-e8a4ab242ea7 · outbound

This paper cites Caffeine and cardiovascular health.Regulatory Toxicology and Pharmacology.2017;89:165-185.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Caffeine and cardiovascular health.Regulatory Toxicology and Pharmacology.2017;89:165-185

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.139817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:67e86068f5c8e7797dbbd259a04135b31d08b55a62e9a5e748875fb8317bd4bd

Observation ffcaab89-351c-4342-97f2-237e7446680e · outbound

This paper cites A low-fat diet decreases high density lipoprotein (HDL) cholesterol levels by decreasing HDL apolipoprotein transport rates.The Journal of Clinical Investigation.1990;85(1):144–151.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases A low-fat diet decreases high density lipoprotein (HDL) cholesterol levels by decreasing HDL apolipoprotein transport rates.The Journal of Clinical Investigation.1990;85(1):144–151

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.137599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:7d3854a5424f02546161c6a9d059cf267947aa4227802d5ecdad00c790a1bff5

Observation 7d057fd5-16fd-4261-89ca-de4c7ba7a1c3 · outbound

This paper cites The effect of alcohol consumption on insulin sensitivity and glycemic status: a systematic review and meta-analysis of intervention studies.Diabetes Care.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases The effect of alcohol consumption on insulin sensitivity and glycemic status: a systematic review and meta-analysis of intervention studies.Diabetes Care

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.135545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:5d632234c9e8586f799cd9cbd52a5fd168ab9f5edbd6fb4cd1fce89836bb8fa6

Observation 90aaf266-43e0-41a1-8663-27bdb2371ee8 · outbound

This paper cites an unresolved cited work.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:24:17.133528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:8aaa44203c711f0f215da61f53ff5cb0609d8fd741df11edb9781cfee73a20af

Observation a610872b-fe7d-4cf8-b83c-d96b77a3bc26 · outbound

This paper cites Oxford university press.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Oxford university press

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.131864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:d911e3c410c3ae5a0241319a7874e28c4a6a0f631216c4d85b69ec60920ce3d9

Observation c1a1247f-e38c-4eb7-a63f-5b3d9657c97f · outbound

This paper cites Model selection and model averaging after multiple imputation.Computational Statistics & Data Analysis.2014;71:758–770.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Model selection and model averaging after multiple imputation.Computational Statistics & Data Analysis.2014;71:758–770

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:24:17.130430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:0aa148a9217c1d4425f12b6d3658718fb02a2cf949e5c77aed0f5e394b658de3

Observation 32144349-c82d-422a-999d-655a84d5c0fc · outbound

This paper cites Efficient semiparametric inference for two-phase studies with outcome and covariate measurement errors.Statistics in Medicine.2021;40(3):725-738.

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases Efficient semiparametric inference for two-phase studies with outcome and covariate measurement errors.Statistics in Medicine.2021;40(3):725-738

Reference 46

Resolution
malformed identifier
raw_fallback, observed 2026-05-21T17:24:17.128429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T17:23:42.014483Z digest=sha256:954b8b2a7f6f8e00df064a83a51322a45ab57b93421da524a021cff04bf7a482

Pith citing papers

No inbound Pith citation observations are available.