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Activity Number: 211 - Disease Prediction
Type: Contributed
Date/Time: Tuesday, August 10, 2021 : 1:30 PM to 3:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #318010
Title: Breast Cancer Among Asian Indian and Pakistani Women in the US: A SEER-Based Study
Author(s): Jaya Satagopan* and Antoinette Stroup and Anita Kinney and Tina Dharamdasani and Shridar Ganesan and Elisa Bandera
Companies: Rutgers University and Rutgers School of Public Health and Rutgers School of Public Health and Rutgers School of Public Health and Rutgers Cancer Institute of New Jersey and Rutgers Cancer Institute of New Jersey
Keywords: incidence; death; follow-up; segmented regression; competing risk

Breast cancer incidence is increasing among Asian Indian and Pakistani American (AIPA) women. We examined age-specific incidence rate for AIPA women by applying segmented Poisson regression to data from the Surveillance, Epidemiology and End Results (SEER) program between 1990 and 2014, and studied factors associated with breast cancer-specific mortality in AIPA women diagnosed between 2000 and 2016. We used data from non-Hispanic White (NHW) women as a benchmark for comparison. I will summarize our inference procedures for incidence rate based on the segmented Poisson regression model, and models based on sub-distribution and cause-specific hazard functions for breast cancer-specific mortality, and how these approaches were implemented for our study. Our analyses show that breast cancer incidence increases rapidly with age in AIPA women, and the rate of increase decreases around age at menopause. While AIPA women have lower hazard for breast cancer-specific death than NHW women, they are followed for a considerably shorter duration. These results provide insights into the kinds of data we need collect to better understand risk and risk factors for breast cancer in AIPA women.

Authors who are presenting talks have a * after their name.

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