Hasil untuk "Statistics"

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S2 Open Access 2020
Cancer statistics for adolescents and young adults, 2020

K. Miller, M. Fidler-Benaoudia, T. Keegan et al.

Cancer statistics for adolescents and young adults (AYAs) (aged 15‐39 years) are often presented in aggregate, masking important heterogeneity. The authors analyzed population‐based cancer incidence and mortality for AYAs in the United States by age group (ages 15‐19, 20‐29, and 30‐39 years), sex, and race/ethnicity. In 2020, there will be approximately 89,500 new cancer cases and 9270 cancer deaths in AYAs. Overall cancer incidence increased in all AYA age groups during the most recent decade (2007‐2016), largely driven by thyroid cancer, which rose by approximately 3% annually among those aged 20 to 39 years and 4% among those aged 15 to 19 years. Incidence also increased in most age groups for several cancers linked to obesity, including kidney (3% annually across all age groups), uterine corpus (3% in the group aged 20‐39 years), and colorectum (0.9%‐1.5% in the group aged 20‐39 years). Rates declined dramatically for melanoma in the group aged 15 to 29 years (4%‐6% annually) but remained stable among those aged 30 to 39 years. Overall cancer mortality declined during 2008 through 2017 by 1% annually across age and sex groups, except for women aged 30 to 39 years, among whom rates were stable because of a flattening of declines in female breast cancer. Rates increased for cancers of the colorectum and uterine corpus in the group aged 30 to 39 years, mirroring incidence trends. Five‐year relative survival in AYAs is similar across age groups for all cancers combined (range, 83%‐86%) but varies widely for some cancers, such as acute lymphocytic leukemia (74% in the group aged 15‐19 years vs 51% in the group aged 30‐39 years) and brain tumors (77% vs 66%), reflecting differences in histologic subtype distribution and treatment. Progress in reducing cancer morbidity and mortality among AYAs could be addressed through more equitable access to health care, increasing clinical trial enrollment, expanding research, and greater alertness among clinicians and patients for early symptoms and signs of cancer. Further progress could be accelerated with increased disaggregation by age in research on surveillance, etiology, basic biology, and survivorship.

998 sitasi en Medicine
S2 Open Access 2019
High-Dimensional Statistics

M. Wainwright

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.

646 sitasi en Computer Science

Halaman 9 dari 97812