Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Janet E Olson

Biographic Data

ID6167752
NAMEJanet E Olson
GIVEN NAMESJanet E
FAMILY NAMEOlson
SIGNATUREOLSON J E
AFFILIATIONSMayo Clinic
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Characteristics Associated With Recruitment and Re-contact in Mayo Clinic Biobank

    Open Access•Matthew A Hathcock, Matthew Hathcock et al.•ARTICLE•Frontiers in Public Health•2020

    Objective: To better understand the characteristics associated with a participant’s willingness to consent to the Mayo Clinic Biobank (MCB) and examine factors associated with willingness to participate in follow-up studies embedded within MCB that require re-contact and participant approval. Participants and Methods: Consent rates were compared across patient demographics to the MCB. Rates of participation to follow-up studies were also compared…

  • Mini-Review of Laboratory Operations in Biobanking

    Open Access•Mine S Cicek, Janet E Olson•ARTICLE•Frontiers in Public Health•2020

  • A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population

    Paul Y Takahashi, Euijung Ryu et al.•ARTICLE•Journal of Epidemiology and…•2016•Cited by: 2•References: 36

    BACKGROUND: Socioeconomic status (SES) is an important predictor for outcomes of chronic diseases. However, it is often unavailable in clinical data. We sought to determine whether an individual housing-based SES index termed HOUSES can influence the likelihood of multiple chronic conditions (MCC) and hospitalisation in a community population. METHODS: Participants were residents of Olmsted County, Minnesota, aged >18 years, who were enrolled in …

  • Validation of a population coronary disease predictive system

    Cindy A Kermott, Kent R Bailey et al.•ARTICLE•Journal of Epidemiology and…•2014

    Accurate prediction allows us to plan. This prediction capability has been made possible through the understanding of epidemiological principles of causation, while relying on statistical tools, or models, using an unbiased sample from a representative population in order to make an accurate claim. In the research work of Grau et al , an attempt had been undertaken to validate a prediction tool to estimate the disease burden, or risk, of coronary…

  • A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population

    Paul Y Takahashi, Euijung Ryu et al.•ARTICLE•Journal of Epidemiology and…•2016•Cited by: 2•References: 36

    BACKGROUND: Socioeconomic status (SES) is an important predictor for outcomes of chronic diseases. However, it is often unavailable in clinical data. We sought to determine whether an individual housing-based SES index termed HOUSES can influence the likelihood of multiple chronic conditions (MCC) and hospitalisation in a community population. METHODS: Participants were residents of Olmsted County, Minnesota, aged >18 years, who were enrolled in …

  • Validation of a population coronary disease predictive system

    Cindy A Kermott, Kent R Bailey et al.•ARTICLE•Journal of Epidemiology and…•2014

    Accurate prediction allows us to plan. This prediction capability has been made possible through the understanding of epidemiological principles of causation, while relying on statistical tools, or models, using an unbiased sample from a representative population in order to make an accurate claim. In the research work of Grau et al , an attempt had been undertaken to validate a prediction tool to estimate the disease burden, or risk, of coronary…

  • A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population

    Paul Y Takahashi, Euijung Ryu et al.•ARTICLE•Journal of Epidemiology and…•2016•Cited by: 2•References: 36

    BACKGROUND: Socioeconomic status (SES) is an important predictor for outcomes of chronic diseases. However, it is often unavailable in clinical data. We sought to determine whether an individual housing-based SES index termed HOUSES can influence the likelihood of multiple chronic conditions (MCC) and hospitalisation in a community population. METHODS: Participants were residents of Olmsted County, Minnesota, aged >18 years, who were enrolled in …

  • Characteristics Associated With Recruitment and Re-contact in Mayo Clinic Biobank

    Open Access•Matthew A Hathcock, Matthew Hathcock et al.•ARTICLE•Frontiers in Public Health•2020

    Objective: To better understand the characteristics associated with a participant’s willingness to consent to the Mayo Clinic Biobank (MCB) and examine factors associated with willingness to participate in follow-up studies embedded within MCB that require re-contact and participant approval. Participants and Methods: Consent rates were compared across patient demographics to the MCB. Rates of participation to follow-up studies were also compared…

  • Mini-Review of Laboratory Operations in Biobanking

    Open Access•Mine S Cicek, Janet E Olson•ARTICLE•Frontiers in Public Health•2020

Medicine (3 works) · Demography (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Population (2 works) · Alternative medicine (1 work) · Biobank (1 work) · Biomedical Ethics and Regulation (1 work) · Blood Pressure and Hypertension Studies (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae