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Spatial and Spatio-Temporal Epidemiology|November 30, 2024
Similarity- and neighbourhood-based dynamic models for infection data: Uncovering the complexities of the COVID-19 infection risksHelena Baptista, Jorge M Mendes, Ying C MacNabThe Journal of Pain|February 20, 2026
Item response theory modeling and confirmatory factor analysis of the Geriatric Pain Measure (GPM-24) with a North American sampleKylie A Arsenault, Ying C MacNab, Thomas HadjistavropoulosGerontology|May 27, 2009
Caregiver fear of falling and functional ability among seniors residing in long-term care facilitiesTheresa G Dever Fitzgerald, Thomas Hadjistavropoulos, Ying C MacNabStatistics in Medicine|February 25, 2006
An innovative application of Bayesian disease mapping methods to patient safety research: a Canadian adverse medical event studyYing C MacNab, Andrew Kmetic, Paul Gustafson, et al.Spatial and Spatio-Temporal Epidemiology|June 12, 2012
Mapping gender variation in the spatial pattern of alcohol-related mortality: a Bayesian analysis using data from South Yorkshire, United KingdomMark Strong, Tim Pearson, Ying C MacNab, et al.Biometrics|December 21, 2004
Estimation in Bayesian disease mappingYing C MacNab, Patrick J Farrell, Paul Gustafson, et al.The Annals of Occupational Hygiene|July 3, 2009
Determinants of use of hearing protection devices in Canadian lumber mill workersHind Sbihi, Kay Teschke, Ying C MacNab, et al.The Annals of Occupational Hygiene|March 19, 2010
An investigation of the adjustment of retrospective noise exposure for use of hearing protection devicesHind Sbihi, Kay Teschke, Ying C MacNab, et al.Spatial and Spatio-Temporal Epidemiology|July 4, 2012
Review of methods for space-time disease surveillanceColin Robertson, Trisalyn A Nelson, Ying C MacNab, et al.American Journal of Public Health|June 16, 2012
Unemployment and mortality: a comparative study of Germany and the United StatesChristopher B McLeod, John N Lavis, Ying C MacNab, et al.Pageof 5