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Abstract A078: Cancer Incidence in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) – The Onco-SOL Ancillary Study
No full textAbstract This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR015) of the Conference Program/Proceedings. Citation Format: Humberto Parada, Ilir Agalliu, Daniela Sotres-Alvarez, Andrew F. Olshan, Kelly R. Evenson, Thomas E. Rohan, Robert C. Kaplan, Caroline A. Thompson, Linda C. Gallo, Frank J. Penedo, Jianwen Cai, Sylvia Wassertheil-Smoller, Bharat Thyagarajan, Stefani N. Thomas, Olga L. Garcia-Bedoya, Gregory A. Talavera. Cancer Incidence in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) – The Onco-SOL Ancillary Study [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A078
Biostatistics and epidemiology: a primer for health and biomedical professionals
No full textSince the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it."a philosophical explanation of the logic of science, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.
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