Discussion of ‘Statistical inference for streamed longitudinal data’ Article Swipe
Yang Ning
,
Jingyi Duan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/biomet/asad043
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/biomet/asad043
Journal Article Discussion of 'Statistical inference for streamed longitudinal data' Get access Yang Ning, Yang Ning Department of Statistics and Data Science, Cornell University, 1188 Comstock Hall, Ithaca, New York 14853, U.S.A Email: [email protected] Search for other works by this author on: Oxford Academic Google Scholar Jingyi Duan Jingyi Duan Department of Statistics and Data Science, Cornell University, 1188 Comstock Hall, Ithaca, New York 14853, U.S.A., [email protected] Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 110, Issue 4, December 2023, Pages 867–869, https://doi.org/10.1093/biomet/asad043 Published: 15 November 2023 Article history Received: 26 June 2023 Editorial decision: 28 June 2023 Published: 15 November 2023
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/biomet/asad043
- OA Status
- green
- Cited By
- 4
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388688191
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388688191Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/biomet/asad043Digital Object Identifier
- Title
-
Discussion of ‘Statistical inference for streamed longitudinal data’Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-15Full publication date if available
- Authors
-
Yang Ning, Jingyi DuanList of authors in order
- Landing page
-
https://doi.org/10.1093/biomet/asad043Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10651177/pdf/asad043.pdfDirect OA link when available
- Concepts
-
Statistical inference, Inference, Library science, Mathematics, Statistics, Computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388688191 |
|---|---|
| doi | https://doi.org/10.1093/biomet/asad043 |
| ids.doi | https://doi.org/10.1093/biomet/asad043 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/37981957 |
| ids.openalex | https://openalex.org/W4388688191 |
| fwci | 2.55423681 |
| type | article |
| title | Discussion of ‘Statistical inference for streamed longitudinal data’ |
| biblio.issue | 4 |
| biblio.volume | 110 |
| biblio.last_page | 869 |
| biblio.first_page | 867 |
| topics[0].id | https://openalex.org/T10243 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9990000128746033 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Statistical Methods and Bayesian Inference |
| topics[1].id | https://openalex.org/T10136 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.998199999332428 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2613 |
| topics[1].subfield.display_name | Statistics and Probability |
| topics[1].display_name | Statistical Methods and Inference |
| topics[2].id | https://openalex.org/T11798 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9915000200271606 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Optimal Experimental Design Methods |
| funders[0].id | https://openalex.org/F4320306076 |
| funders[0].ror | https://ror.org/021nxhr62 |
| funders[0].display_name | National Science Foundation |
| funders[1].id | https://openalex.org/F4320332161 |
| funders[1].ror | https://ror.org/01cwqze88 |
| funders[1].display_name | National Institutes of Health |
| is_xpac | False |
| apc_list.value | 2582 |
| apc_list.currency | GBP |
| apc_list.value_usd | 3167 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C134261354 |
| concepts[0].level | 2 |
| concepts[0].score | 0.572555661201477 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q938438 |
| concepts[0].display_name | Statistical inference |
| concepts[1].id | https://openalex.org/C2776214188 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5561262965202332 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q408386 |
| concepts[1].display_name | Inference |
| concepts[2].id | https://openalex.org/C161191863 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4539891481399536 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q199655 |
| concepts[2].display_name | Library science |
| concepts[3].id | https://openalex.org/C33923547 |
| concepts[3].level | 0 |
| concepts[3].score | 0.43832167983055115 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[3].display_name | Mathematics |
| concepts[4].id | https://openalex.org/C105795698 |
| concepts[4].level | 1 |
| concepts[4].score | 0.40828412771224976 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[4].display_name | Statistics |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.2615441679954529 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.18120646476745605 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| keywords[0].id | https://openalex.org/keywords/statistical-inference |
| keywords[0].score | 0.572555661201477 |
| keywords[0].display_name | Statistical inference |
| keywords[1].id | https://openalex.org/keywords/inference |
| keywords[1].score | 0.5561262965202332 |
| keywords[1].display_name | Inference |
| keywords[2].id | https://openalex.org/keywords/library-science |
| keywords[2].score | 0.4539891481399536 |
| keywords[2].display_name | Library science |
| keywords[3].id | https://openalex.org/keywords/mathematics |
| keywords[3].score | 0.43832167983055115 |
| keywords[3].display_name | Mathematics |
| keywords[4].id | https://openalex.org/keywords/statistics |
| keywords[4].score | 0.40828412771224976 |
| keywords[4].display_name | Statistics |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.2615441679954529 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.18120646476745605 |
| keywords[6].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.1093/biomet/asad043 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S172180718 |
| locations[0].source.issn | 0006-3444, 1464-3510 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0006-3444 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Biometrika |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Biometrika |
| locations[0].landing_page_url | https://doi.org/10.1093/biomet/asad043 |
| locations[1].id | pmid:37981957 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Biometrika |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/37981957 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10651177 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10651177/pdf/asad043.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Biometrika |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10651177 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5070406375 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6877-9231 |
| authorships[0].author.display_name | Yang Ning |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I205783295 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Statistics and Data Science, Cornell University, 1188 Comstock Hall, Ithaca, New York 14853, U.S.A |
| authorships[0].institutions[0].id | https://openalex.org/I205783295 |
| authorships[0].institutions[0].ror | https://ror.org/05bnh6r87 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I205783295 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Cornell University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yang Ning |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Statistics and Data Science, Cornell University, 1188 Comstock Hall, Ithaca, New York 14853, U.S.A |
| authorships[1].author.id | https://openalex.org/A5111328482 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Jingyi Duan |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I205783295 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Statistics and Data Science, Cornell University , 1188 Comstock Hall , Ithaca, New York 14853, ., [email protected] |
| authorships[1].institutions[0].id | https://openalex.org/I205783295 |
| authorships[1].institutions[0].ror | https://ror.org/05bnh6r87 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I205783295 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Cornell University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Jingyi Duan |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Department of Statistics and Data Science, Cornell University , 1188 Comstock Hall , Ithaca, New York 14853, ., [email protected] |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10651177/pdf/asad043.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Discussion of ‘Statistical inference for streamed longitudinal data’ |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10243 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9990000128746033 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Statistical Methods and Bayesian Inference |
| related_works | https://openalex.org/W1979597421, https://openalex.org/W2007980826, https://openalex.org/W4245490552, https://openalex.org/W4225152035, https://openalex.org/W2061531152, https://openalex.org/W137830373, https://openalex.org/W3000984192, https://openalex.org/W4286952477, https://openalex.org/W4321348134, https://openalex.org/W2103073163 |
| cited_by_count | 4 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 3 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:pubmedcentral.nih.gov:10651177 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764455111 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | PubMed Central |
| best_oa_location.source.host_organization | https://openalex.org/I1299303238 |
| best_oa_location.source.host_organization_name | National Institutes of Health |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1299303238 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10651177/pdf/asad043.pdf |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Biometrika |
| best_oa_location.landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10651177 |
| primary_location.id | doi:10.1093/biomet/asad043 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S172180718 |
| primary_location.source.issn | 0006-3444, 1464-3510 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0006-3444 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Biometrika |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Biometrika |
| primary_location.landing_page_url | https://doi.org/10.1093/biomet/asad043 |
| publication_date | 2023-11-15 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2308122693, https://openalex.org/W2567292713, https://openalex.org/W3087345600, https://openalex.org/W6679265385, https://openalex.org/W4321471209, https://openalex.org/W2963958165, https://openalex.org/W2964331163, https://openalex.org/W2401757692, https://openalex.org/W2078411132, https://openalex.org/W2069119359, https://openalex.org/W4388688191, https://openalex.org/W2128235479, https://openalex.org/W3099550161 |
| referenced_works_count | 13 |
| abstract_inverted_index.15 | 90, 105 |
| abstract_inverted_index.26 | 96 |
| abstract_inverted_index.28 | 101 |
| abstract_inverted_index.4, | 83 |
| abstract_inverted_index.by | 38, 71 |
| abstract_inverted_index.of | 3, 17, 51 |
| abstract_inverted_index.Get | 10 |
| abstract_inverted_index.New | 28, 62 |
| abstract_inverted_index.and | 19, 53 |
| abstract_inverted_index.for | 6, 35, 68 |
| abstract_inverted_index.on: | 41, 74 |
| abstract_inverted_index.110, | 81 |
| abstract_inverted_index.1188 | 24, 58 |
| abstract_inverted_index.2023 | 92, 98, 103, 107 |
| abstract_inverted_index.Data | 20, 54 |
| abstract_inverted_index.Duan | 47, 49 |
| abstract_inverted_index.June | 97, 102 |
| abstract_inverted_index.Ning | 15 |
| abstract_inverted_index.Yang | 12, 14 |
| abstract_inverted_index.York | 29, 63 |
| abstract_inverted_index.this | 39, 72 |
| abstract_inverted_index.2023, | 85 |
| abstract_inverted_index.Hall, | 26, 60 |
| abstract_inverted_index.Issue | 82 |
| abstract_inverted_index.Ning, | 13 |
| abstract_inverted_index.Pages | 86 |
| abstract_inverted_index.U.S.A | 31 |
| abstract_inverted_index.data' | 9 |
| abstract_inverted_index.other | 36, 69 |
| abstract_inverted_index.works | 37, 70 |
| abstract_inverted_index.14853, | 30, 64 |
| abstract_inverted_index.Email: | 32 |
| abstract_inverted_index.Google | 44, 77 |
| abstract_inverted_index.Jingyi | 46, 48 |
| abstract_inverted_index.Oxford | 42, 75 |
| abstract_inverted_index.Search | 34, 67 |
| abstract_inverted_index.Volume | 80 |
| abstract_inverted_index.access | 11 |
| abstract_inverted_index.author | 40, 73 |
| abstract_inverted_index.Article | 1, 93 |
| abstract_inverted_index.Cornell | 22, 56 |
| abstract_inverted_index.Ithaca, | 27, 61 |
| abstract_inverted_index.Journal | 0 |
| abstract_inverted_index.Scholar | 45, 78 |
| abstract_inverted_index.U.S.A., | 65 |
| abstract_inverted_index.history | 94 |
| abstract_inverted_index.Academic | 43, 76 |
| abstract_inverted_index.Comstock | 25, 59 |
| abstract_inverted_index.December | 84 |
| abstract_inverted_index.November | 91, 106 |
| abstract_inverted_index.Science, | 21, 55 |
| abstract_inverted_index.streamed | 7 |
| abstract_inverted_index.Editorial | 99 |
| abstract_inverted_index.Received: | 95 |
| abstract_inverted_index.decision: | 100 |
| abstract_inverted_index.inference | 5 |
| abstract_inverted_index.867–869, | 87 |
| abstract_inverted_index.Department | 16, 50 |
| abstract_inverted_index.Discussion | 2 |
| abstract_inverted_index.Published: | 89, 104 |
| abstract_inverted_index.Statistics | 18, 52 |
| abstract_inverted_index.Biometrika, | 79 |
| abstract_inverted_index.University, | 23, 57 |
| abstract_inverted_index.'Statistical | 4 |
| abstract_inverted_index.longitudinal | 8 |
| [email protected] | 33 |
| [email protected] | 66 |
| abstract_inverted_index.https://doi.org/10.1093/biomet/asad043 | 88 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5111328482 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I205783295 |
| citation_normalized_percentile.value | 0.85547467 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |