Shu (Joy) Jiang, PhD

Primary Academic Title

Associate Professor of Surgery, Division of Public Health Sciences, Washington University School of Medicine

Research Interest

Multi-state models accommodating correlated processes and heterogeneity, design of clinical trials involving personalized medicine

Education

2018: PhD, statistics, University of Waterloo, Canada

Training

2018 - 2019: Postdoctoral fellow, biostatistics, Harvard University, Cambridge, Mass.

Selected Research Publications

Plant Foods Intake and Risk of Premature Aging in Adult Survivors of Childhood Cancer in the St Jude Lifetime Cohort (SJLIFE).

Wang M, Lan T, Williams AM, [...] Jiang S, [...] Park Y
J Clin Oncol 2024

Pectoral muscle removal in mammogram images: A novel approach for improved accuracy and efficiency.

Chen S, Bennett DL, Colditz GA, Jiang S
Cancer Causes Control 2024

Association of Breast Density With Risk of Breast Cancer-Reply.

Jiang S, Colditz GA
JAMA Oncol 2023

Causal mediation analysis using high-dimensional image mediator bounded in irregular domain with an application to breast cancer.

Jiang S, Colditz GA
Biometrics 2023

Association and Prediction Utilizing Craniocaudal and Mediolateral Oblique View Digital Mammography and Long-Term Breast Cancer Risk.

Chen S, Tamimi RM, Colditz GA, Jiang S
Cancer Prev Res (Phila) 2023

Adherence to healthy diet and risk of cardiovascular disease in adult survivors of childhood cancer in the St. Jude Lifetime Cohort: a cross-sectional study.

Lan T, Wang M, Ehrhardt MJ, Jiang S, [...] Park Y
BMC Med 2023

Longitudinal Analysis of Change in Mammographic Density in Each Breast and Its Association With Breast Cancer Risk.

Jiang S, Bennett DL, Rosner BA, Colditz GA
JAMA Oncol 2023

Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data.

Jiang S, Cao J, Rosner B, Colditz GA
Biometrics 2023

Identifying regions of interest in mammogram images.

Jiang S, Cao J, Colditz GA
Stat Methods Med Res 2023

Predicting the onset of breast cancer using mammogram imaging data with irregular boundary.

Jiang S, Cao J, Colditz GA, Rosner B
Biostatistics 2023

Predicting the onset of breast cancer using mammogram imaging data with irregular boundary.

Jiang S, Cao J, Colditz GA, Rosner B
Biostatistics 2023

Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature.

Anandarajah A, Chen Y, Colditz GA, [...] Jiang S
Breast Cancer Res 2022

Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts.

Strand SH, Rivero-Gutiérrez B, Houlahan KE, [...] Jiang S, [...] West RB
Cancer Cell 2022

The polytomous discrimination index for prediction involving multistate processes under intermittent observation.

Jiang S, Cook RJ
Stat Med 2022