S. Bull

S. Bull, A. Logan, A. Tislér, 2002, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Cumulative Meta-Analysis for Genetic Association: When Is a New Study Worthwhile?

Shelley B Bull, Michael A Rotondi, S. Bull, 2012, Human Heredity.

Tumoral BRD4 expression in lymph node-negative breast cancer: association with T-bet+ tumor-infiltrating lymphocytes and disease-free survival

S. Bull, I. Andrulis, A. Mulligan, 2018, BMC Cancer.

Analysis of compositional bone density data using log ratio transformations.

S. Bull, P. Bracci, M. Grynpas, 1998, Biometrics.

Analysis of incidence and prognostic factors for ipsilateral breast tumour recurrence and its impact on disease-specific survival of women with node-negative breast cancer: a prospective cohort study

S. Bull, I. Andrulis, M. Blackstein, 2006, Breast Cancer Research.

Detecting changes in functional ability in women with premenstrual syndrome.

S. Bull, J. Nisker, B. Posthuma, 1987, American journal of obstetrics and gynecology.

Hypertension aggregates in families of kidney stone patients with high urinary excretion of uric acid.

S. Bull, A. Logan, A. Pierratos, 1999, Journal of hypertension.

DNA methylation age calculators reveal association with diabetic neuropathy in type 1 diabetes

Angelo J. Canty, J. Keith Jones, A. Paterson, 2020, Clinical Epigenetics.

BR-squared: a practical solution to the winner’s curse in genome-wide scans

Shelley B. Bull, Daryl Waggott, Apostolos Dimitromanolakis, 2011, Human Genetics.

A flexible genome‐wide bootstrap method that accounts for rankingand threshold‐selection bias in GWAS interpretation and replication study design

Shelley B Bull, Apostolos Dimitromanolakis, S. Bull, 2011, Statistics in medicine.

Integrating epigenetic, genetic, and phenotypic data to uncover gene-region associations with triglycerides in the GOLDN study

S. Bull, O. Espin-Garcia, R. Romanescu, 2018, BMC Proceedings.

Longitudinal data analysis in pedigree studies

S. John, S. Bull, Shaoqi Rao, 2003, Genetic epidemiology.

Genome-wide association analyses of North American Rheumatoid Arthritis Consortium and Framingham Heart Study data utilizing genome-wide linkage results

Yun Joo Yoo, Shelley B Bull, Daryl Waggott, 2009, BMC proceedings.

Recursive partitioning models for linkage in COGA data

M. Corey, C. Greenwood, S. Bull, 2005, BMC Genetics.

Acute Hypoxemia Does Not Affect the Umbilical Artery Flow Velocity Waveform in Fetal Sheep

S. Bull, S. Adamson, R. Morrow, 1990, Obstetrics and gynecology.

Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini‐exome data

Heping Zhang, Ying Liu, Joan E Bailey-Wilson, 2011, Genetic epidemiology.

High urinary calcium excretion and genetic susceptibility to hypertension and kidney stone disease.

S. Bull, A. Logan, A. Mente, 2006, Journal of the American Society of Nephrology : JASN.

Oxidative Stress and Cardiovascular Risk in Type 1 Diabetes Mellitus: Insights From the DCCT/EDIC Study

J. Keith Jones, A. Paterson, S. Mudaliar, 2018, Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease.

Using an age-at-onset phenotype with interval censoring to compare methods of segregation and linkage analysis in a candidate region for elevated systolic blood pressure

S. Bull, L. Briollais, F. Demenais, 2003, BMC Genetics.

Fresh Cut Versus Stored Cut Paraffin-embedded Tissue: Effect on Immunohistochemical Staining for Common Breast Cancer Markers

S. Bull, I. Andrulis, A. Mulligan, 2019, Applied immunohistochemistry & molecular morphology : AIMM.

Fall in mean arterial pressure and fetal growth restriction in pregnancy hypertension: a meta-analysis

G Koren, S. Bull, G. Koren, 2000, The Lancet.

Evidence of linkage to chromosome 1 for early age of onset of rheumatoid arthritis and HLA marker DRB1 genotype in NARAC data

C. Greenwood, S. Bull, P. Hu, 2007, BMC proceedings.

Tumor microsatellite instability and clinical outcome in young patients with colorectal cancer.

S. Bull, S. Gallinger, S. Gallinger, 2000, The New England journal of medicine.

gpart: human genome partitioning and visualization of high-density SNP data by identifying haplotype blocks

Yun Joo Yoo, Delnaz Roshandel, Shelley B Bull, 2019, Bioinform..

The Efficiency of Multinomial Logistic Regression Compared with Multiple Group Discriminant Analysis

S. Bull, A. Donner, 1987 .

BR-squared: a practical solution to the winner's curse in genome-wide scans.

A. Paterson, S. Bull, D. Waggott, 2011, Human Genetics.

Two-stage study designs combining genome-wide association studies, tag single-nucleotide polymorphisms, and exome sequencing: accuracy of genetic effect estimates

S. Bull, L. Faye, 2011, BMC proceedings.

Locus-Specific Heritability Estimation via the Bootstrap in Linkage Scans for Quantitative Trait Loci

Shelley B. Bull, Long Yang Wu, S. Bull, 2006, Human Heredity.

Are quantitative trait-dependent sampling designs cost-effective for analysis of rare and common variants?

S. Bull, Yildiz E. Yilmaz, 2011, BMC proceedings.

A tree‐based model for allele‐sharing‐based linkage analysis in human complex diseases

F. McMahon, T. Schulze, S. Bull, 2006, Genetic epidemiology.

Regression models, scan statistics and reappearance probabilities to detect regions of association between gene expression and copy number

Irene L Andrulis, Shelley B Bull, Jennifer L Asimit, 2011, Statistics in medicine.

Transmission-ratio distortion in the Framingham Heart Study

A. Paterson, S. Bull, Y. J. Yoo, 2009, BMC proceedings.

Corrections to the parameterization of constraints on allele sharing in sibling pairs alter covariate-parameter estimates but not sharing-probability estimates or power of tests for linkage.

S. Bull, C. Greenwood, 2005, American Journal of Human Genetics.

Genetic Epidemiology

S. Bull, I. Andrulis, R. Romanescu, 2020 .

Validity, efficiency, and robustness of a family‐based test of association

S. Bull, J. Lewinger, 2006, Genetic epidemiology.

Using cancer registry data: agreement in cause-of-death data between the Ontario Cancer Registry and a longitudinal study of breast cancer patients.

S. Bull, D. Brenner, I. Andrulis, 2009, Chronic diseases in Canada.

Modeling Complex Disease with Demographic and Environmental Covariates and a Candidate Gene Marker

D Tritchler, S. Bull, D. Tritchler, 2001, Genetic epidemiology.

The generalizability of trial data; a comparison of β-blocker trial participants with a prospective cohort of women taking β-blockers in pregnancy

S. Bull, A. Logan, G. Koren, 2001 .

The generalizability of trial data; a comparison of beta-blocker trial participants with a prospective cohort of women taking beta-blockers in pregnancy.

S. Bull, G. Koren, L. Magee, 2001, European journal of obstetrics, gynecology, and reproductive biology.

Dynamic modularity in protein interaction networks predicts breast cancer outcome

David Warde-Farley, Q. Morris, T. Pawson, 2009, Nature Biotechnology.

Gene network modular-based classification of microarray samples

Hui Jiang, Pingzhao Hu, Shelley B. Bull, 2012, BMC Bioinformatics.

Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data

Hui Jiang, Pingzhao Hu, Shelley B. Bull, 2011, ISBRA.

Use of Laplace transform analysis to describe the effect of placental embolisation on umbilical arterial Doppler waveforms in fetal sheep.

S. Bull, R. Morrow, S. Macphail, 1994, Ultrasound in medicine & biology.

A Bayesian segmentation approach to ascertain copy number variations at the population level

H. Chipman, S. Bull, L. Briollais, 2009, Bioinform..

Strategies for genetic association analyses combining unrelated case-control individuals and family trios.

S. Bull, C. Infante-Rivard, L. Mirea, 2012, American journal of epidemiology.

Genome-Wide Association Identifies the ABO Blood Group as a Major Locus Associated With Serum Levels of Soluble E-Selectin

A. Paterson, S. Bull, R. Carter, 2009, Arteriosclerosis, thrombosis, and vascular biology.

Two‐phase sample selection strategies for design and analysis in post‐genome‐wide association fine‐mapping studies

Radu V. Craiu, S. Bull, O. Espin-Garcia, 2021, medRxiv.

Disease‐marker associations: Power and heterogeneity in independent population samples

S. Bull, L. Mirea, Camil Toma, 1999, Genetic epidemiology.

Human leucocyte antigen risk alleles for psoriatic arthritis among patients with psoriasis

S. Bull, D. Gladman, V. Chandran, 2011, Annals of the rheumatic diseases.