Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study
| العنوان: | Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study |
|---|---|
| المؤلفون: | Carl Bonander, Ulf Strömberg, Jonas Björk, Göran Bergström, Anton Nilsson |
| المصدر: | Journal of clinical epidemiology. 108 |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Male, Epidemiology, Research Subjects, Population, Pilot Projects, Logistic regression, External validity, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Pulmonary Heart Disease, Odds Ratio, Prevalence, Medicine, Humans, Non-response bias, 030212 general & internal medicine, Registries, education, Sweden, education.field_of_study, Participation bias, business.industry, Inverse probability weighting, Patient Selection, Reproducibility of Results, Odds ratio, Middle Aged, Logistic Models, Socioeconomic Factors, Female, business, 030217 neurology & neurosurgery, Demography, Cohort study |
| الوصف: | Objective To investigate whether inverse probability of participation weighting (IPPW) using register data on sociodemographic and disease history variables can improve external validity in a cohort study with selective participation. Study Design and Setting We fitted various IPPW models by logistic regression using register data for the participants (n = 1,111) and nonparticipants (n = 1,132) of a Swedish cohort study. For each of six diagnostic groups, we then estimated (1) weighted disease prevalence proportions and (2) weighted cross-sectional associations (odds ratios) between sociodemographic variables and disease prevalence. Using register data on the remaining individuals of the entire study population of men and women aged 50-64 years (n = 22,259), we addressed how the choice of variables used for IPPW influenced estimation errors. Results Disease prevalence proportions were generally underestimated in the absence of IPPW but became markedly closer to population values after IPPW using sociodemographic variables. We found limited evidence of selective participation bias in association estimates, but IPPW improved external validity when bias was present. Conclusions IPPW using sociodemographic register data can improve the external validity of disease prevalence estimates in cohort studies with selective participation. The performance of IPPW for association estimates merits further investigations in longitudinal settings and larger cohorts. |
| تدمد: | 1878-5921 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd8b43b611a72c04e6c4501619b4da6Test https://pubmed.ncbi.nlm.nih.gov/30562543Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....1fd8b43b611a72c04e6c4501619b4da6 |
| قاعدة البيانات: | OpenAIRE |
| ResultId |
1 |
|---|---|
| Header |
edsair OpenAIRE edsair.doi.dedup.....1fd8b43b611a72c04e6c4501619b4da6 829 3 unknown 829.467407226563 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....1fd8b43b611a72c04e6c4501619b4da6&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
|
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Carl+Bonander%22">Carl Bonander</searchLink><br /><searchLink fieldCode="AR" term="%22Ulf+Strömberg%22">Ulf Strömberg</searchLink><br /><searchLink fieldCode="AR" term="%22Jonas+Björk%22">Jonas Björk</searchLink><br /><searchLink fieldCode="AR" term="%22Göran+Bergström%22">Göran Bergström</searchLink><br /><searchLink fieldCode="AR" term="%22Anton+Nilsson%22">Anton Nilsson</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => <i>Journal of clinical epidemiology</i>. 108 ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2018 ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Male%22">Male</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Subjects%22">Research Subjects</searchLink><br /><searchLink fieldCode="DE" term="%22Population%22">Population</searchLink><br /><searchLink fieldCode="DE" term="%22Pilot+Projects%22">Pilot Projects</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression%22">Logistic regression</searchLink><br /><searchLink fieldCode="DE" term="%22External+validity%22">External validity</searchLink><br /><searchLink fieldCode="DE" term="%22Cohort+Studies%22">Cohort Studies</searchLink><br /><searchLink fieldCode="DE" term="%2203+medical+and+health+sciences%22">03 medical and health sciences</searchLink><br /><searchLink fieldCode="DE" term="%220302+clinical+medicine%22">0302 clinical medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Pulmonary+Heart+Disease%22">Pulmonary Heart Disease</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+Ratio%22">Odds Ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Prevalence%22">Prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine%22">Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%22Non-response+bias%22">Non-response bias</searchLink><br /><searchLink fieldCode="DE" term="%22030212+general+%26+internal+medicine%22">030212 general & internal medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Registries%22">Registries</searchLink><br /><searchLink fieldCode="DE" term="%22education%22">education</searchLink><br /><searchLink fieldCode="DE" term="%22Sweden%22">Sweden</searchLink><br /><searchLink fieldCode="DE" term="%22education%2Efield%5Fof%5Fstudy%22">education.field_of_study</searchLink><br /><searchLink fieldCode="DE" term="%22Participation+bias%22">Participation bias</searchLink><br /><searchLink fieldCode="DE" term="%22business%2Eindustry%22">business.industry</searchLink><br /><searchLink fieldCode="DE" term="%22Inverse+probability+weighting%22">Inverse probability weighting</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+Selection%22">Patient Selection</searchLink><br /><searchLink fieldCode="DE" term="%22Reproducibility+of+Results%22">Reproducibility of Results</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+Aged%22">Middle Aged</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+Models%22">Logistic Models</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+Factors%22">Socioeconomic Factors</searchLink><br /><searchLink fieldCode="DE" term="%22Female%22">Female</searchLink><br /><searchLink fieldCode="DE" term="%22business%22">business</searchLink><br /><searchLink fieldCode="DE" term="%22030217+neurology+%26+neurosurgery%22">030217 neurology & neurosurgery</searchLink><br /><searchLink fieldCode="DE" term="%22Demography%22">Demography</searchLink><br /><searchLink fieldCode="DE" term="%22Cohort+study%22">Cohort study</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Objective To investigate whether inverse probability of participation weighting (IPPW) using register data on sociodemographic and disease history variables can improve external validity in a cohort study with selective participation. Study Design and Setting We fitted various IPPW models by logistic regression using register data for the participants (n = 1,111) and nonparticipants (n = 1,132) of a Swedish cohort study. For each of six diagnostic groups, we then estimated (1) weighted disease prevalence proportions and (2) weighted cross-sectional associations (odds ratios) between sociodemographic variables and disease prevalence. Using register data on the remaining individuals of the entire study population of men and women aged 50-64 years (n = 22,259), we addressed how the choice of variables used for IPPW influenced estimation errors. Results Disease prevalence proportions were generally underestimated in the absence of IPPW but became markedly closer to population values after IPPW using sociodemographic variables. We found limited evidence of selective participation bias in association estimates, but IPPW improved external validity when bias was present. Conclusions IPPW using sociodemographic register data can improve the external validity of disease prevalence estimates in cohort studies with selective participation. The performance of IPPW for association estimates merits further investigations in longitudinal settings and larger cohorts. ) Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 1878-5921 ) Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd8b43b611a72c04e6c4501619b4da6" linkWindow="_blank">https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd8b43b611a72c04e6c4501619b4da6</link><br /><link linkTarget="URL" linkTerm="https://pubmed.ncbi.nlm.nih.gov/30562543" linkWindow="_blank">https://pubmed.ncbi.nlm.nih.gov/30562543</link> ) Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => CLOSED ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsair.doi.dedup.....1fd8b43b611a72c04e6c4501619b4da6 ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Languages] => Array
(
[0] => Array
(
[Text] => Undetermined
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => Male
[Type] => general
)
[1] => Array
(
[SubjectFull] => Epidemiology
[Type] => general
)
[2] => Array
(
[SubjectFull] => Research Subjects
[Type] => general
)
[3] => Array
(
[SubjectFull] => Population
[Type] => general
)
[4] => Array
(
[SubjectFull] => Pilot Projects
[Type] => general
)
[5] => Array
(
[SubjectFull] => Logistic regression
[Type] => general
)
[6] => Array
(
[SubjectFull] => External validity
[Type] => general
)
[7] => Array
(
[SubjectFull] => Cohort Studies
[Type] => general
)
[8] => Array
(
[SubjectFull] => 03 medical and health sciences
[Type] => general
)
[9] => Array
(
[SubjectFull] => 0302 clinical medicine
[Type] => general
)
[10] => Array
(
[SubjectFull] => Pulmonary Heart Disease
[Type] => general
)
[11] => Array
(
[SubjectFull] => Odds Ratio
[Type] => general
)
[12] => Array
(
[SubjectFull] => Prevalence
[Type] => general
)
[13] => Array
(
[SubjectFull] => Medicine
[Type] => general
)
[14] => Array
(
[SubjectFull] => Humans
[Type] => general
)
[15] => Array
(
[SubjectFull] => Non-response bias
[Type] => general
)
[16] => Array
(
[SubjectFull] => 030212 general & internal medicine
[Type] => general
)
[17] => Array
(
[SubjectFull] => Registries
[Type] => general
)
[18] => Array
(
[SubjectFull] => education
[Type] => general
)
[19] => Array
(
[SubjectFull] => Sweden
[Type] => general
)
[20] => Array
(
[SubjectFull] => education.field_of_study
[Type] => general
)
[21] => Array
(
[SubjectFull] => Participation bias
[Type] => general
)
[22] => Array
(
[SubjectFull] => business.industry
[Type] => general
)
[23] => Array
(
[SubjectFull] => Inverse probability weighting
[Type] => general
)
[24] => Array
(
[SubjectFull] => Patient Selection
[Type] => general
)
[25] => Array
(
[SubjectFull] => Reproducibility of Results
[Type] => general
)
[26] => Array
(
[SubjectFull] => Odds ratio
[Type] => general
)
[27] => Array
(
[SubjectFull] => Middle Aged
[Type] => general
)
[28] => Array
(
[SubjectFull] => Logistic Models
[Type] => general
)
[29] => Array
(
[SubjectFull] => Socioeconomic Factors
[Type] => general
)
[30] => Array
(
[SubjectFull] => Female
[Type] => general
)
[31] => Array
(
[SubjectFull] => business
[Type] => general
)
[32] => Array
(
[SubjectFull] => 030217 neurology & neurosurgery
[Type] => general
)
[33] => Array
(
[SubjectFull] => Demography
[Type] => general
)
[34] => Array
(
[SubjectFull] => Cohort study
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Carl Bonander
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Ulf Strömberg
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Jonas Björk
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Göran Bergström
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Anton Nilsson
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 24
[M] => 09
[Type] => published
[Y] => 2018
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 18785921
)
[1] => Array
(
[Type] => issn-locals
[Value] => edsair
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 108
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Journal of clinical epidemiology
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |