Ying MacNab, University of British Columbia

Research

Read how they describe their research on their University of British Columbia profile.

Latest papers

Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020-2022 pandemic.
Spatial and spatio-temporal epidemiology · 2024 · senior author
Editorial.
Statistical methods in medical research · 2016 · senior author
Longitudinal analysis of respiratory symptoms in population studies with a focus on dyspnea in marine transportation workers.
International archives of occupational and environmental health · 2009

All 3 publications

Latest funding

Modeling and inference for large and complex data on spatial lattices
NSERC · 2013 · Principal investigator
$75,000
The Bridge Program: CIHR Strategic Training Program bridging public health, engineering and policy research.
CIHR · 2008 · Co-investigator
$1,941,340
Statistical methods for disease mapping disease surveillance population health studies and health services
NSERC · 2005 · Principal investigator
$65,000

All 4 grants and awards

3 publications.

01

Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020-2022 pandemic.

Lei J, MacNab Y

Spatial and spatio-temporal epidemiology2024Senior author

DOI: 10.1016/j.sste.2024.100658 PMID: 38876569

02

Editorial.

Lawson AB, Lee D, MacNab Y

Statistical methods in medical research2016Senior author

DOI: 10.1177/0962280216660410 PMID: 27566766

03

Longitudinal analysis of respiratory symptoms in population studies with a focus on dyspnea in marine transportation workers.

Arrandale VH, Koehoorn M, MacNab Y, Kennedy SM

International archives of occupational and environmental health200918 citations

DOI: 10.1007/s00420-009-0412-y PMID: 19288268

Modeling and inference for large and complex data on spatial lattices

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: MacNab, Ying

$75,000

The Bridge Program: CIHR Strategic Training Program bridging public health, engineering and policy research.

Co-investigatorCIHR2008Training Grant

Principal investigators: Brauer, Michael; Mcdaniels, Timothy L

Keywords: Environmental Health; Health Policy; Knowledge Translation; Occupational Health; Public Health; Transdisciplinary Training

$1,941,340

Statistical methods for disease mapping disease surveillance population health studies and health services

Principal investigatorNSERC2005Discovery Grants Program - Individual

Principal investigators: MacNab, Ying

$65,000

Statistical methodology for disease mapping, disease surveillance, and health services research

Principal investigatorNSERC2001Discovery Grants Program - Individual

Principal investigators: MacNab, Ying

$40,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Frequent collaborators

Mieke Koehoorn

School of Population and Public Health

1 shared papers, latest 2009

Victoria Arrandale

Occupational and Environmental Health

1 shared papers, latest 2009

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Subject: Prospective PhD student Dear Professor MacNab, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020-2022 pandemic." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]