PhD (Statistics), MSc (Statistics), BSc(Mathematics)
Room 134B, 2206 East Mall
Vancouver, BC V6T1Z3
phone: 6048225593

Dr. MacNab is an Associate Professor of Statistics in the UBC School of Public and Population Health, an Associate Member in the UBC Department of Statistics, and a Scientist at the BC Child and Family Research Institute.

Dr. MacNab’s research interests are Bayesian disease mapping, Bayesian paradigm, foundations of statistics, space-time statistics, structured statistical models, taxonomic models, item response theory, inductive reasoning, Bayesian burden of disease methodology, Geometics, Health service and population health geoinformation system, and meta-data innovation in medical and health research.

Selected papers

MacNab YC. On Gaussian Markov Random Fields and Bayesian disease mapping. Statistics Methods in Medical Research (to appear).

MacNab YC. On Bayesian shared component disease mapping and ecological regression with errors in covariates. Statistics in Medicine 2010; 29(11):1239-49.

MacNab YC, Malloy DC, Hadjistavropoulos T, Sevigny PR, McCarthy EF, Murakami M, Paholpak S. Shalani N, Liu P L. Idealism and relativism across cultures: A cross cultural examination of the factor structure of the Ethics Position Questionnaire among physicians. Journal of Cross-Cultural Psychology (to appear).

Sbihi H, Teschke K, MacNab YC, Davies HW. An investigation of the adjustment of retrospect. ive noise exposure for use of hearing protection devices. Annals of Occupational Hygiene 2010;54(3):329-39

Sbihi H, Teschke K, MacNab YC, Davies HW. Adjusting for hearing protection devices use in a sawmill cohort: methods for historical noise exposure re-assessment and validation. Annals of Occupational Hygiene 2010;54(3):319-28.

MacNab YC. Bayesian multivariate disease mapping and ecological regression with errors in covariates. Statistics in Medicine 2009; 28(9):1369-85.

MacNab YC and Lin Y. On empirical Bayes penalized quasilikelihood inference in GLMMs and in disease mapping and ecological modeling. Computational Statistics & Data Analysis 2009; 53:2950-2967.

Nosyk B, MacNab YC, Sun H, Marsh DC, Fischer B, Schechter MT, Anis AH. Proportional hazards frailty models for recurrent methadone maintenance treatment. American Journal of Epidemiology, 2009; 170(6):783-92.

Lee SK, Aziz K, Singhal N, Cronin CM, James A, Lee DS, Matthew D, Ohlsson A, Sankaran K, Seshia M, Synnes A, Walker R, Whyte R, Langley J, MacNab YC, Stevens B, von Dadelszen P. Improving the quality of care for infants: a cluster randomized controlled trial. Canadian Medical Association Journal 2009; 181(8):469-76.

Baird R, MacNab YC, Skarsgard ED; Canadian Pediatric Surgery Network. Mortality prediction in congenital diaphragmatic hernia. Journal of Pediatric Surgery. 2008 May; 43(5):783-7.

Mitton C, MacNab YC, Smith N, Foster L. Transferring Injury data to decision makers in British Columbia. International Journal of Injury Control and Safety Promotion 2008; 15(1):41-3.

MacNab YC. Spline smoothing in Bayesian disease mapping. Environmetrics 2007; 18(7); 727-744.

MacNab YC, Gustafson P. Regression B-spline smoothing in Bayesian disease mapping: with an application to patient safety surveillance. Statistics in Medicine 2007; 26(24):4455-74.

Janssen PA, Thiessen P, Klein MC, Whitfield M, MacNab YC, Cullis-Kuhl S. Standards for the measurements of newborns at term in neonates of European, Chinese, and South Asian ancestry. Open Medicine 2007; 1(2): 74-88.

Menzies J, Magee LA, MacNab YC, Ansermino JM, Li J, Douglas MJ, Gruslin A, Kyle P, Lee SK, Moore MP, Moutquin JM, Smith GN, Walker JJ, Walley KR, Russell JA, von Dadelszen P. Current CHS and NHBPEP criteria of severe preeclampsia do not uniformly predict adverse maternal or perinatal outcomes.
Hypertension in Pregnancy. 2007; 26(4):447-62.

Friesen MC, MacNab YC, Davies HW, Teschke K, Marion SA, and Demers P. Mixed models and empirical Bayes estimation for retrospective exposure assessment of dust exposures in Canadian sawmills. Annals of Occupational Hygiene 2006; 50(3):281-288.

Synnes AR, MacNab YC, Qiu Z, Lee SK, Ohlsson A, Dean C, Gustafson P. Neonatal Intensive Care Unit characteristics affect the incidence of severe intraventricular hemorrhage. Medical Care 2006; 44(8):754-9.

Skarsgard ED, MacNab YC, Qiu Z, Little R, and Lee SK. SNAP-II predicts mortality and need for extracorporeal membrane oxygenation among infants with congenital diaphragmatic hernia. Journal of Perinatology 2005; 5(5):315-9.

MacNab YC, Farrell P, Gustafson P, and Wen S. Estimation in Bayesian disease mapping. Biometrics 2004; 60: 865-873.

Gustafson P, MacNab YC, and Wen S. The Value of derivatives and random walk suppression in Markov chain Monte Carlo algorithms. Statistics and Computing 2004; 14: 23-37.

MacNab YC, Qiu Z, Gustafson P, Dean C, Ohlsson A and Lee SK. Hierarchical Bayes analysis of multilevel health services Data: A Canadian neonatal mortality study. Health Services and Outcomes Research Methodology 2004; 5(1): 5-26.

MacNab YC. Hierarchical Bayesian modelling of spatially correlated health service outcome and utilization rates. Biometrics 2003; 59(2):305-16.

MacNab YC. Hierarchical Bayesian spatial modelling of small-area rates of non-rare disease. Statistics in Medicine 2003; 22(10):1761-73.

MacNab YC. A Bayesian hierarchical model for accident and injury surveillance. Accident Analysis and Prevention 2003; 35(1):91-102.

Chen L, MacNab YC, Aziz K, Newman C, McMillan DD, and Lee SK. Variations in Central Venous Catheter Related Infection Risks among Canadian Neonatal Intensive Care Units. Pediatric Infectious Disease Journal 2002; 21:505-511.

MacNab YC and Dean CB. Autoregressive spatial smoothing and temporal spline smoothing for mapping rates. Biometrics 2001; 57(3):949-56.

MacNab YC and Dean CB. Parametric bootstrap and penalized quasilikelihood
inference in conditional autoregressive models, Statistics in Medicine 2000; 19(15/16): 15-30.

SPPH 501 Analysis of Longitudinal Data from Epidemiological Studies
SPPH 580 Statistical Methods in Spatial Epidemiology
SPPH 580 Bayesian Methods for Correlated Data
SPPH 580 Bayesian disease mapping & GIS
SPPH 580 Bayesian Biostatistics

Dr. MacNab’s research projects are funded by NSERC, CIHR, MSFHR, and BCCFRI