Justin Slater
Justin Slater
Verified email at mail.utoronto.ca
Title
Cited by
Cited by
Year
Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine
P Arora, D Boyne, JJ Slater, A Gupta, DR Brenner, MJ Druzdzel
Value in Health 22 (4), 439-445, 2019
472019
BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses
A Béliveau, DJ Boyne, J Slater, D Brenner, P Arora
BMC medical research methodology 19 (1), 1-13, 2019
372019
The risk of infective endocarditis among people who inject drugs: a retrospective, population-based time series analysis
MA Weir, J Slater, R Jandoc, S Koivu, AX Garg, M Silverman
CMAJ 191 (4), E93-E99, 2019
272019
Hydromorphone and the risk of infective endocarditis among people who inject drugs: a population-based, retrospective cohort study
M Silverman, J Slater, R Jandoc, S Koivu, AX Garg, MA Weir
The Lancet Infectious Diseases 20 (4), 487-497, 2020
162020
Incidence, Treatment, and Implications of Kidney Stones During Pregnancy: A Matched Population-Based Cohort Study
M Ordon, J Dirk, J Slater, J Kroft, S Dixon, B Welk
Journal of Endourology 34 (2), 215-221, 2020
102020
The frequency of routine blood sampling and patient outcomes among maintenance hemodialysis recipients
A Thomas, SA Silver, J Perl, M Freeman, JJ Slater, DM Nash, M Vinegar, ...
American Journal of Kidney Diseases 75 (4), 471-479, 2020
82020
Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method
A Gupta, JJ Slater, D Boyne, N Mitsakakis, A Béliveau, MJ Druzdzel, ...
Medical Decision Making 39 (8), 1032-1044, 2019
52019
Risk of hospital encounters with kidney stones in autosomal dominant polycystic kidney disease: a cohort study
V Kalatharan, B Welk, DM Nash, SN Dixon, J Slater, Y Pei, S Sarma, ...
Canadian Journal of Kidney Health and Disease 8, 20543581211000227, 2021
12021
Inter-hospital Transfer and Outcomes in Patients with Acute Kidney Injury: A Population-based Cohort Study
A Kitchlu, J Shapiro, J Slater, KS Brimble, JS Dirk, N Jeyakumar, ...
Kidney360, 2020
12020
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model
JJ Slater, PE Brown, JS Rosenthal
Stat 10 (1), e328, 2021
2021
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data
JJ Slater, PE Brown, JS Rosenthal, J Mateu
Spatial Statistics, 100540, 2021
2021
Stability of diagnostic rate in a cohort of 38,813 colorectal polyp specimens and implications for histomorphology and statistical process control
M Bonert, A Naqvi, M Rahman, JK Marshall, T Xenodemetropoulos, ...
Scientific Reports 11 (1), 1-18, 2021
2021
SARS-CoV-2 Seroprevalence During the First and Second Pandemic Waves in Canada
X Tang, A Sharma, M Pasic, P Brown, K Colwill, H Gelband, C Birnboim, ...
2021
Complications in Patients With Autosomal Dominant Polycystic Kidney Disease Undergoing Ureteroscopy: A Cohort Study
V Kalatharan, B Welk, DM Nash, E McArthur, J Slater, S Sarma, Y Pei, ...
Canadian Journal of Kidney Health and Disease 7, 2054358120972830, 2020
2020
Error propagation in simulated treatment comparisons for multiple myeloma: Results from a simulation.
E Mackay, J Slater, P Arora, K Thorlund, A Beliveau, DJ Boyne, D Brenner
Journal of Clinical Oncology 38 (15_suppl), e20523-e20523, 2020
2020
MD4 ERROR PROPAGATION FOR SIMULATED TREATMENT COMPARISONS
E Mackay, J Slater, P Arora, K Thorlund, A Beliveau, D Boyne, ...
Value in Health 23, S8, 2020
2020
PCV99 BAYESIAN NETWORKS AS AN EMERGING TOOL FOR DISEASE RISK ESTIMATION AND CLINICAL DECISION-MAKING: A REAL-WORLD EXAMPLE IN CORONARY ARTERY DISEASE
A Gupta, J Slater, N Mitsakakis, DJ Boyne, MJ Druzdzel, DR Brenner, ...
Value in Health 22, S136, 2019
2019
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Articles 1–17