from that cancer and other causes in the presence of competing risks are optimal measures of prognosis and of mortality across demographic groups. We used data on breast cancer patients from the Surveillance, Epidemiol-ogy, and End Results (SEER) Program in a competing-risk analysis. Methods: We determined vital status and cause of death for 395 251 white and 35 259 black female patients with breast cancer diagnosed from January 1, 1973, through December 31, 2000, by use of SEER data. We calculated probabilities of death from breast cancer and other causes according to stage, race, and age at diagnosis; for cases diagnosed from January 1, 1990, to December 31, 2000, we also calculated some such proba-bilities according to tumor size and est...
African-American women have a higher lifetime risk of fatal breast cancer than do White women. Recen...
BACKGROUND: Although rates of survival for women with breast cancer have improved, the survival disp...
In this study we used the parametric survival approach to analyze the survival time of African Ameri...
Currently, there are an estimated 2.8 million breast cancer survivors in the United States. Due to m...
Background: Understanding the burden of competing (non-breast cancer) mortality is important for the...
BACKGROUND: In the United States, a black-to-white disparity in age-standardized breast cancer morta...
Background: Understanding the burden of competing (non-breast cancer) mortality is important for the...
Background:Relative survival is the most common method used for measuring survival from population-b...
Background: Race and ethnicity are significant factors in predicting survival time of breast cancer ...
Background: Breast cancer is a worldwide public health concern and is the most prevalent type of can...
The objective of the present study is to investigate key aspects of ovarian and breast cancers, ...
Abstract Background Evaluating the cost-effectiveness...
Background To isolate progress against cancer from changes in competing causes of death, population ...
In this paper we test the statistical probability models for breast cancer survival data for race an...
Background: Breast cancer is the second leading cause of cancer death for women in the United States...
African-American women have a higher lifetime risk of fatal breast cancer than do White women. Recen...
BACKGROUND: Although rates of survival for women with breast cancer have improved, the survival disp...
In this study we used the parametric survival approach to analyze the survival time of African Ameri...
Currently, there are an estimated 2.8 million breast cancer survivors in the United States. Due to m...
Background: Understanding the burden of competing (non-breast cancer) mortality is important for the...
BACKGROUND: In the United States, a black-to-white disparity in age-standardized breast cancer morta...
Background: Understanding the burden of competing (non-breast cancer) mortality is important for the...
Background:Relative survival is the most common method used for measuring survival from population-b...
Background: Race and ethnicity are significant factors in predicting survival time of breast cancer ...
Background: Breast cancer is a worldwide public health concern and is the most prevalent type of can...
The objective of the present study is to investigate key aspects of ovarian and breast cancers, ...
Abstract Background Evaluating the cost-effectiveness...
Background To isolate progress against cancer from changes in competing causes of death, population ...
In this paper we test the statistical probability models for breast cancer survival data for race an...
Background: Breast cancer is the second leading cause of cancer death for women in the United States...
African-American women have a higher lifetime risk of fatal breast cancer than do White women. Recen...
BACKGROUND: Although rates of survival for women with breast cancer have improved, the survival disp...
In this study we used the parametric survival approach to analyze the survival time of African Ameri...