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Paper Citation Record · LEDGER

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model

As of 20 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.09535.

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

pith.paper-citation-record.v1
2607.09535 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:20:40.768843Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

88 of 88 outbound references displayed

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  • verified fuzzy0
  • unresolved88
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation facba0bb-1c20-493b-b5fa-633b5d5bcd17 · outbound

This paper cites Computational statistics & data analysis , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Computational statistics & data analysis , volume=

Reference 1

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Source-reported events for the cited work

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Observation 9b4cb771-df2c-4dcf-9118-4bfe6f437363 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

Reference 2

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Observation 3b44336f-11c2-489e-bf1c-ddbfd8186fe1 · outbound

This paper cites Epigenetics and Complex Traits , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and Complex Traits , pages=

Reference 3

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Observation 1c08d4b3-9a08-4f2a-a502-01eb75fa352d · outbound

This paper cites Biometrics , year=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrics , year=

Reference 4

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Observation 4d611b5e-5d20-4038-aa4b-d93e79b97e38 · outbound

This paper cites Statistical applications in genetics and molecular biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical applications in genetics and molecular biology , volume=

Reference 5

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Observation e36aca3c-2d15-4c3a-94b1-ee57148bd89a · outbound

This paper cites 2017 , school=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , school=

Reference 6

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Observation 458a3e16-1dca-4ee4-bfe7-d1d0998f22c2 · outbound

This paper cites Journal of computational and graphical statistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of computational and graphical statistics , volume=

Reference 7

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Observation 68912557-63c1-430b-8faa-94885aeb85a8 · outbound

This paper cites 2006 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2006 , publisher=

Reference 8

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Observation 2cf79a87-ccc0-47b8-91c2-b4ebe2fba45c · outbound

This paper cites 2009 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2009 , publisher=

Reference 9

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Observation ccf1f187-0050-428b-b509-253fe1b6b64b · outbound

This paper cites Computational Statistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Computational Statistics , volume=

Reference 10

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Observation f194aa00-49e9-4fd5-ae53-bf1a35bd1763 · outbound

This paper cites Biometrika , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=

Reference 11

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Observation f709996a-4ab6-41e4-b66f-f13ee450faec · outbound

This paper cites Statistica Sinica , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistica Sinica , volume=

Reference 12

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Observation 4c3f8139-286f-4ff4-9c7e-e48b80752df6 · outbound

This paper cites 2005 , publisher =.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2005 , publisher =

Reference 13

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Observation a7e34c1e-07e5-4bfd-9254-c0edeb408b37 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=

Reference 14

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Observation 94c3c5d8-3824-4b36-a70f-515b1ffbb641 · outbound

This paper cites Nat Genet , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nat Genet , volume=

Reference 15

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Observation ed998361-f8f2-4ea6-adea-5c8b3d536348 · outbound

This paper cites Diabetes , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Diabetes , volume=

Reference 16

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Observation d5bbb5d6-19f6-4164-b033-a2d8069e1236 · outbound

This paper cites Nature neuroscience , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature neuroscience , volume=

Reference 17

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Observation 337a968d-577e-47d5-9b5a-803c51f7bee0 · outbound

This paper cites Nature biotechnology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature biotechnology , volume=

Reference 18

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Observation e8ce6504-3f7c-4369-9070-3744601ab159 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

Reference 19

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Observation 2d2a09b3-ba6d-4677-bf9f-b523033c0822 · outbound

This paper cites JAMA oncology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model JAMA oncology , volume=

Reference 20

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Observation c7bd7fbb-4c63-4361-9eb5-caa8dd850ba1 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model , author=

Reference 21

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Observation b1d258e9-3cb1-4144-b192-705132b92dae · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

Reference 22

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Observation 7372b770-c316-46c6-a78f-38a9d6adff0a · outbound

This paper cites Nature communications , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature communications , volume=

Reference 23

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Observation bfd2fee0-d909-4832-a2a8-8559e4651f14 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=

Reference 24

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Observation 2b00e9ff-ab43-41c2-9ca0-6b90b40746ab · outbound

This paper cites BMC proceedings , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=

Reference 25

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Observation 883b6939-9dcf-417d-b1bd-5173de9f1889 · outbound

This paper cites science , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model science , volume=

Reference 26

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Observation 24b492f6-bb67-4fdc-8b37-494a23b4dea6 · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

Reference 27

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Observation 196b8cf0-c940-4b25-9f84-4d8dde2da687 · outbound

This paper cites Nature Reviews Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Reviews Genetics , volume=

Reference 28

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Observation a30605a0-45bd-4102-b764-81d16a65fe34 · outbound

This paper cites Nature reviews genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature reviews genetics , volume=

Reference 29

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Observation e8f11c98-885c-4288-8112-041b75b53e0a · outbound

This paper cites BMC genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=

Reference 30

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Observation 79504b84-4c69-4ad0-bd43-bbf35f9cd7fa · outbound

This paper cites Human molecular genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human molecular genetics , volume=

Reference 31

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Observation f8146cc9-c27a-480f-a15c-142ba19aa136 · outbound

This paper cites Clinical chemistry , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical chemistry , volume=

Reference 32

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Observation 533e74a5-665f-4f2a-aff2-9747e7bce7c7 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model elife , volume=

Reference 33

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Observation 6eb56a24-a80b-4f73-97f6-e117d0762660 · outbound

This paper cites Frontiers in Cell and Developmental Biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Cell and Developmental Biology , volume=

Reference 34

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Observation 65621a7e-7b49-4811-8661-a9640a23b66c · outbound

This paper cites Clinical epigenetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical epigenetics , volume=

Reference 35

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Observation a831e64a-0f89-469e-b38e-eae15ba24703 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human genetics , volume=

Reference 36

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Observation f0f24ea5-f1a8-476b-b151-be7cb93de12d · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2003 , publisher=

Reference 37

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Observation aa59cf60-14fa-481a-b8e8-242bd3bf1518 · outbound

This paper cites 2017 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , publisher=

Reference 38

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Observation 29b613b4-1e04-4252-b641-9bf9dc16cf85 · outbound

This paper cites Statistical science , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , volume=

Reference 39

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Observation 87fd8db7-9f57-4757-8ae5-9fd9f98307e1 · outbound

This paper cites Genome medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome medicine , volume=

Reference 40

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Observation 8291289f-ec64-4245-a3ac-f3b60b86a1bd · outbound

This paper cites Cancer epidemiology, biomarkers & prevention , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Cancer epidemiology, biomarkers & prevention , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:a8c3273e110185fbba3d92375b16cf51de45e5fd812639d2723282d56507d189

Observation eb7354f6-08cd-4592-9cde-04e03a6252e1 · outbound

This paper cites BMC proceedings , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8cff6fb6534f3f646c45209b74eed18c66b2af9ae423fc53c37a3f70ec73e8af

Observation d0f12c4d-c391-4918-9ada-d064a6cd03ee · outbound

This paper cites Frontiers in Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:fa6c4270879903d6bb515e1745f121368ff10401b229388135a1ed15907d579f

Observation 1b2a64c3-070f-403d-a294-36bd4c9788a7 · outbound

This paper cites The Lancet , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The Lancet , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:01b42e4bd65050259843526598edd300f08709fc2ce56bf93668646fba942d5a

Observation 6c1891e9-905a-4b8f-a446-afc1325afc6b · outbound

This paper cites Nature Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:aa1e8e957337eec36814a1e9496029c0dd79c78c7cf2eed4cc1d1aa349727c7b

Observation ba52aad1-69f3-480a-878b-723edcd23b35 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the American Statistical Association , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:315cf10c3a2e8755c2f23df4cf7c2bd1e31bf3adea93089ac9a4dbf5cef83607

Observation 77f839c6-99bd-4d06-8378-6eb581ad8392 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:629c51ed402c1812e4a8b0759f7ed2ca3570adac4f169ea50d47bfd1389290a5

Observation 65667993-1880-4fb4-b88d-a808ebbcd2fe · outbound

This paper cites Briefings in bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Briefings in bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:5cf09bb4c241ea59056fa925296356bf94e3f1ff61686a1c67a7f7d5ea6d090d

Observation c470eed9-55eb-4ab5-8fa4-65873daeb376 · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:51217181b1750fd93621b50648c9be2e41eb44e254588e2462db6a158c8f602f

Observation e1fda29b-1f3d-4d66-bca7-0f4fddd355c9 · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:fe9e9267bd375270b62e74d057ae08e77cdd4cbd2d12e1589a2b6c818c02cbf5

Observation a1596e48-3716-4dda-91dd-8f568d7a7cd1 · outbound

This paper cites 2008 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2008 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:cc4935a7daec06e99ec8cdb14db540f7b52923aa07a7f619b6c8a5fd9fabf5eb

Observation 8bcf8993-d298-45db-a8d4-59026775aec8 · outbound

This paper cites Human genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:3b078186ccce83d004330b4a1a1f45986faaaae4cc058649c2ad033989e269ea

Observation 68112a54-e8ae-4e6e-ad3b-964b0cd002bf · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:824a1a36e0ac0158bcf69ac6213ff8ea58cc49d89866caf86c70ffdd9cdf3bd1

Observation f54134d9-5868-44e8-b980-afbc29f3553f · outbound

This paper cites Neuropsychopharmacology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Neuropsychopharmacology , volume=

Reference 54

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:3e00670ae2612424fd37d332756129251048748dfd4c68d44b460b926fb13a32

Observation 962d7473-988d-4f97-82c1-bbdad475f49f · outbound

This paper cites Epigenetics and complex traits , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and complex traits , pages=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:038d377077da726b5a57b133fd376e2f29d343f510fb1250da9221e6d60abbe8

Observation ba46a5fe-f984-465e-9cab-2f05a508693f · outbound

This paper cites Epigenetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics , volume=

Reference 56

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:1e02985cf629c15d4662ac39474594c2d7d3a1efe1ed736fd15fdc5f75f5e875

Observation 260e6851-e51a-4b35-b48e-6525fba10893 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:722e01ec80f8faa12f56bf31103d380558355b575126efa71f97eba8816793ce

Observation 2f2a1269-3240-45db-8ea0-eac5b8dc3a66 · outbound

This paper cites Nature , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:e03fe0989e05130163e8c6b2747bc2f3c52e22057759382e1d6e8722530b6c88

Observation 6c379f22-2044-437e-aa1c-7ffb6cafe4ce · outbound

This paper cites Nature protocols , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature protocols , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:73478eab012394a923e2b34f8048d66180a840132accaa33495427ae033cb12d

Observation b220894e-89a5-4d6b-bdb7-ccb5c4664361 · outbound

This paper cites Biostatistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biostatistics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:5e897a4aee8562f1cc04d53ae404b1a358ba9fafeb8f85eb4e441086aa4c8b2d

Observation cd4428bc-a670-426b-9ae2-3ed432bebafe · outbound

This paper cites Bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:d4432c344229901a93ad841d2b613ec290772b53183b0023ad3fa49956be9e37

Observation e147fb9f-6bb7-4613-9156-b10cadd510fe · outbound

This paper cites Genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:4b92a43236cfa65c308b67e8651e19e938a10e2c44f21c01f4fff955b4716e5b

Observation f8e96db0-a826-4051-8c42-117d3e9e37ef · outbound

This paper cites Nature Reviews Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Reviews Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:5d2cb823522899cee360c89fb8304e07bb6f648dfc56a2911fcc88c96c6f10fc

Observation 52d583b5-be5d-4d8e-bfc9-9dc9ffd83cdd · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:6eb819010c8b82b5eab5a4b1a96b3d47b15fb0e4d0d17337712523d3e7df1a3c

Observation 6e4294f0-6e50-4391-b482-cdca4007c317 · outbound

This paper cites BMC genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:4d08f715f2c4d60c214340e48a21d72dbb68e9cf393af50a92fff3ce757a2f94

Observation 168861e6-8bf3-47bb-9250-fe4d0e321952 · outbound

This paper cites The American journal of human genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The American journal of human genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:113b4651c333dc91198a0a6564e159da986fec044defc264684356a544347a03

Observation 1d399ec3-bd61-4b4f-a805-1444b2236a65 · outbound

This paper cites Nature , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:5cbd02ff7286c49fcfb6977436e28b0f3b1f1172673f799bce81806964fcd8be

Observation b3f28d17-99e9-4fd0-b255-b77084f7c054 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:a903ef5984583e48af8ed915c75cb62ccb101e20339987daea30cead9d2c190c

Observation d793ef98-32ce-413a-bf4a-4d3ce4a84fe3 · outbound

This paper cites PLoS medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model PLoS medicine , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:a903abbb791985f703bc95cb11c934b02e78e487c2039769940d5b10796e9356

Observation 78e5f580-6bff-44f3-b61d-5f5776c4c559 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:65e7c6584569b8732844cb52445fd42d5c12507f6145a69f0c384cf750f6f07b

Observation e9e423ef-eca4-4c54-88cb-81426d90cb6e · outbound

This paper cites Nature methods , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature methods , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:227c85c3ea484effb41db6fdfebc07ecf5078f23dc4c401ef25b776fde46f7d5

Observation 747a3c3a-cd15-4908-a053-23406cddf191 · outbound

This paper cites 2017 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:e5f36fc952565e151bba8c3c1708eecd0ee0f8a1fedb0dce2d3b12926e47e76d

Observation ce217383-bbbf-408f-9db2-aaf6459f787f · outbound

This paper cites 1994 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1994 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:2eca181b58c488b4a28d36d40114f23e69409ba81901b533b170ea5eb283e594

Observation c38f2e2e-cd1e-4aa0-93f8-ac781909ec84 · outbound

This paper cites Bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:81b202aca70c227c2bc25b54e112fc69b43a3a8bb9a5507ff5406343fdbd591b

Observation cfcf02bb-e9a1-4852-9746-3fa09793d202 · outbound

This paper cites R package version , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model R package version , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:7b24d0b5cbcf346d79d9a78ee0457d139858e54871467b192718954e67ccc129

Observation 8d977634-1b01-47df-9ea4-87c61c61b966 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:ef70a87bfd9423668ee3462f4a0f67edd248c43d351f7fd9be821b82bce9c79b

Observation 864b4e7c-d9b6-43f8-a2a6-06c809fa26f1 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the American Statistical Association , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:fc8c9418a86a94f1c33bda83c6dbf35a35fced14e8b8d78d268a529034a38c5f

Observation edeb3584-d572-4623-9412-033d91294e67 · outbound

This paper cites Theory of Probability & Its Applications , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Theory of Probability & Its Applications , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:988a38404314119f25f2b46d2a1edf5b0356d5cdd63856c406fd39d4a870b14c

Observation 08eb049d-7faf-49cf-89a9-99f62012065d · outbound

This paper cites 1978 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1978 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:7cf9091abdf55c1acbe0865f09e159332136e40009a257d5725bc5cf117a7c0b

Observation 3eee9ec1-01eb-4724-8f7b-b800d8b99d22 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:4d4fc2f71b532b48503b7f1a62e59b6c039e4ea09b44ec9a8d620851fd7fc266

Observation 771576c7-3940-411b-8683-d1e46911f89a · outbound

This paper cites Numerische mathematik , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Numerische mathematik , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8ae8120eaefad14d13ba3ab8ee1281ad52224bcc1c099adeb05f244940540c36

Observation 775b73fa-8c05-4797-aef5-d9fce4475c14 · outbound

This paper cites 2024 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2024 , publisher=

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Source-reported events for the cited work

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Observation a79dd5af-731e-4080-95fb-4c766abcefaa · outbound

This paper cites Statistical science , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , pages=

Reference 83

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Observation 15a61a80-52ef-4154-a504-4ade05175642 · outbound

This paper cites 1990 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1990 , publisher=

Reference 84

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no resolver link, observed 2026-07-13T02:20:40.768843Z

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Observation e77ed96c-cd97-4e4f-a7b0-3e747c155c73 · outbound

This paper cites Biometrika , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=

Reference 85

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:e7dd7330bd5250d97595c9734c441d3b6a9fd27271a5893e6f6ac6d20396252b

Observation b518fbdd-0093-4227-8d1f-0bfeaf2ad343 · outbound

This paper cites 2019 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2019 , publisher=

Reference 86

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:48b948c6d0b36eab7e25e0a511c5b726926a5b51f62f16713d6fce26527b8fa2

Observation 7e281e34-3645-410b-8cf5-8378abe79885 · outbound

This paper cites 1989 , edition=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1989 , edition=

Reference 87

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:d5dca47b0c16a26bfdf86a363e4540fbe0e446a42f5abedd11a4872d97e2e4fa

Observation e8abba28-c2b7-45df-a37d-66849e499a7e · outbound

This paper cites Statistics in Medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistics in Medicine , volume=

Reference 88

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Pith citing papers

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