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Record W1971799927 · doi:10.1080/1059924x.2012.686381

Self-Selection Bias in an Epidemiological Study of Respiratory Health of a Rural Population

2012· article· en· W1971799927 on OpenAlex
Punam Pahwa, Chandima Karunanayake, Louise Hagel, Bonnie Janzen, Donna Rennie, Joshua Lawson, William Pickett, James A. Dosman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agromedicine · 2012
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsQueen's UniversitySaskatchewan Health AuthorityUniversity of Saskatchewan
Fundersnot available
KeywordsEpidemiologyEnvironmental healthSelection (genetic algorithm)Rural populationPopulationSelection biasMedicineGeographyComputer science

Abstract

fetched live from OpenAlex

A common source of bias in epidemiological studies is self-selection or volunteer bias. The self-selection into cohorts for further investigation or for participation in a substudy may be an important source of selection bias. The objectives of this paper were to identify differences in selected demographic characteristics, individual and contextual factors, and variables related to respiratory health between study participants who were willing to participate in subsequent clinical and allergy testing and those who were not willing to participate. One hundred and fourteen households (207 individuals) from a small town and 54 households (99 individuals) from a nearby rural municipality participated in this study. One key informant from each household provided information about each adult in that household. The question being studied was: "We wish to find out more about respiratory health of rural people. We would like to invite you to perform breathing and allergy tests. Would you be willing to be contacted for breathing and allergy tests in a nearby location?" One hundred and four participants said "Yes" they would participate in the clinical studies, 144 said "No" they would not participate in the clinical studies, and 52 said "Would like more information" about the clinical studies. More than one half (53.8%) of male participants and 46.2% of female participants indicated that they would like to participate in breathing and allergy tests. A higher proportion of study participants (26.1% males, 30.8% females) in the lowest income category requested more information compared to those answering either "Yes" (15.7% for males, 20.5% for females) or "No" (18.5% males, 23.3% females) to the question being studied. Study participants who were willing to participate in further breathing and allergy tests had a higher proportion of self-reported chronic phlegm and ever had allergic reaction to things eaten than those who either said "No" or "Would like more information." Among male study participants who said "Yes" to further participation, a higher proportion was exposed to one of the occupational exposures of interest compared to those who said either "No" or "Would like more information." This pattern was not observed for females.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.211
GPT teacher head0.479
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it