View in EDS HTML Full Text PDF Full Text

Quantifying the effects of air pollution on respiratory ill health treated in primary care when the locations of the populations at risk are partially unknown.

Saved in:
Bibliographic Details
Title: Quantifying the effects of air pollution on respiratory ill health treated in primary care when the locations of the populations at risk are partially unknown.
Authors: Zhu Q, Lee D; School of Mathematics and Statistics, University of Glasgow, UK., Stoner O; School of Mathematics and Statistics, University of Glasgow, UK.
Source: Statistical methods in medical research [Stat Methods Med Res] 2026 Jun; Vol. 35 (6), pp. 1215-1229. Date of Electronic Publication: 2026 Apr 24.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42029144
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying the effects of air pollution on respiratory ill health treated in primary care when the locations of the populations at risk are partially unknown.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhu+Q%22">Zhu Q</searchLink><br /><searchLink fieldCode="AU" term="%22Lee+D%22">Lee D</searchLink>; School of Mathematics and Statistics, University of Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Stoner+O%22">Stoner O</searchLink>; School of Mathematics and Statistics, University of Glasgow, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2026 Jun; Vol. 35 (6), pp. 1215-1229. <i>Date of Electronic Publication: </i>2026 Apr 24.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42029144
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/09622802261439259
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1215
    Titles:
      – TitleFull: Quantifying the effects of air pollution on respiratory ill health treated in primary care when the locations of the populations at risk are partially unknown.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhu Q
      – PersonEntity:
          Name:
            NameFull: Lee D
      – PersonEntity:
          Name:
            NameFull: Stoner O
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1477-0334
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Statistical methods in medical research
              Type: main
ResultId 1