Lawrence Joseph
Bayesian statistics
Professor
E-mail: lawrence.joseph@mcgill.ca
Telephone: +1 (514) 934-1934 ext: 44713
FAX: (514) 934-8293
Complete CV
Division of Clinical Epidemiology
McGill University Health Centre
Royal Victoria Hospital
687 Pine Avenue West
V Building, Room V2.10
Montreal, Quebec
Canada, H3A 1A1
Bayesian Sample Size Change-point methods and applications Diagnostic testing
See related software		 Meta analysis Other topics
Complete CV
Research interests
Courses taught
EPIB-607 Principles of Inferential Statistics in Medicine
EPIB-613 Introduction to Statistical Software
EPIB-621 Data Analysis in the Health Sciences
EPIB-651 Bayesian Analysis in Medicine
EPIB-675 Bayesian Analysis in the Health Sciences
Publications
Methodological publications
Bayesian Sample Size
Change-point methods and applications
Diagnostic testing
Meta analysis
Other topics
Medical publications
Allergy and immunology
Asthma
Cardiology
Gastroenterology
Osteoporosis
Quality of Life
Rheumatology
Other
Book
Bayesian software
Bayesian Sample Size
Change-point methods and applications
Diagnostic testing
Diagnostic testing in Genetics
Links
Barnabe C, Joseph L, Bélisle P, Labrecque J, Edworthy S, Barr S, Fritzler M, Svenson L, Hemmelgarn B, Bernatsky S.
Increased prevalence of systemic lupus erythematosus and systemic sclerosis in Alberta's First Nations population
Arthritis Care and Research 2012;64(1):138-143
Ladouceur M, Rahme E, Scott A, Schwartzman K, Joseph L.
Modeling continuous diagnostic test data using approximate Dirichlet process distributions
Statistics in Medicine 2011;30(21):2648-2662
Bernatsky S, Lix L, Hanly J, Hudson M, Badley E, Peschken C, Pineau C, Clarke A, Fortin P, Smith M, Bélisle P, Lagace C, Bergeron L, Joseph L.
Surveillance of systemic autoimmune rheumatic diseases using administrative data
Rheumatology International 2011;31(4):549-554
Tarafder M, Carabin H, McGarvey S, Joseph L, Balolong E, Olveda R.
Assessing the impact of measurement error on an epidemiological association between two helminthic infections
PLOS Neglected Tropical Diseases 2011;5(3):1-7
Lu Y, Dendukuri N, Schiller I, Joseph L.
A Bayesian approach to simultaneously adjusting for verification bias and reference standard bias in diagnostic test studies
Statistics in Medicine 2010;29(24):2532-2543
Tarafder M, Carabin H, Joseph L, Balolong E, Olveda R, McGarvey S.
Estimating the sensitivity and specificity of Kato-Katz stool examination technique for detection of hookworms, Ascaris lumbricoides, and Trichuris trichiura infections in humans in the absence of a gold standard
International Journal for Parasitology 2010;40(4):399-404
Weichenthal S, Joseph L, Bélisle P, Dufresne A.
Bayesian estimation of the probability of asbestos exposure from lung fibre counts
Biometrics 2010;66(2):603-612
Bernatsky S, Joseph L, Pineau C, Bélisle P, Lix, L, Banerjee D, Clarke A.
Polymyalgia rheumatic prevalence in a population-based sample
Arthritis Care and Research 2009;61(9):1264-1267
Bernatsky S, Joseph L, Pineau C, Bélisle P, Hudson M, Clarke A.
Scleroderma prevalence: Demographic variations in a population-based sample
Annals of the Rheumatic Diseases 2009;61(3):400-404
Scott A, Joseph L, Bélisle P, Behr M, Schwartzman K.
Bayesian estimation of tuberculosis clustering rates from DNA sequence data
Statistics in Medicine 2008;27(1):140-156
Ladouceur M, Rahme E, Pineau C, Joseph L.
Robustness of prevalence estimates derived from misclassified data from administrative databases
Biometrics 2007;63:272-279
Benitoa A, Carmena D, Joseph L, Martineza J, Guisantesa J.
Dog echinococcosis in northern Spain: comparison of coproantigen and serum antibody assays with coprological exam
Veterinary Parasitology 2006;142:102-111
Bernatsky S, Joseph L, Bélisle P, Boivin J, Rajan R, Moore A, Clarke A.
A Bayesian hierarchical model for estimating the properties of cancer ascertainment methods in cohort studies
Statistics in Medicine 2005;24:2365-2379
Carabin H, Marshall C, Joseph L, Riley S, Olveda R, McGarvey S.
Estimating and modelling the dynamics of the intensity of infection with Schistosoma japonicum in villagers of Leyte, Philippines. Part I: A Bayesian cumulative logit model
American Journal of Tropical Medicine and Hygiene 2005;72(6):745-753
Carabin H, Balolong E, Joseph L, McGarvey S, Johansen M, Fernandez T, Willingham A, Olveda R.
Estimating sensitivity and specificity of a faecal examination method for Schistosoma japonicum infection in cats, dogs, water buffaloes, pigs and rats in Western Samar and Sorsogon Provinces, The Philippines
International Journal of Parasitology 2005;35:1517-1524
Dendukuri N, Joseph L.
Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests
Biometrics 2001;57(1):158-167
Rahme E, Joseph L.
Estimating the prevalence of a rare disease: adjusted maximum likelihood
The Statistician 1998;47(1):149-158
Demissie K, White N, Joseph L, Ernst P.
Bayesian estimation of asthma prevalence, and comparison of exercise and questionnaire diagnostics in the absence of a gold standard
Annals of Epidemiology 1998;8(3):201-208
Hajian-Tilaki K, Hanley J, Joseph L, Collet J-P.
A comparison of parametric and non-parametric approaches to ROC analysis of the accuracy of quantitative diagnostic tests
Medical Decision Making 1997;17(1):94--102
Hajian-Tilaki K, Hanley J, Joseph L, Collet J-P.
An extension of Receiver Operating Characteristic analysis to data concerning multiple signal detection tasks
Academic Radiology 1997;4(3):222-229
Joseph L, Gyorkos T.
Inferences for likelihood ratios in the absence of a gold standard
Medical Decision Making 1996;16(4):412--417
Joseph L, Gyorkos T, Coupal L.
Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard
American Journal of Epidemiology 1995;141(3):263-272