Name: Statistical Modeling for Biomedical Researchers 2nd Edition Hardback: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Hardcover)) (en Inglés)
Price: 764292.00 COP
Availability: InStock
Author: DuPont, William D.
ISBN: 9780521849524

portada Statistical Modeling for Biomedical Researchers 2nd Edition Hardback: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Hardcover)) (en Inglés)

Formato

Libro Físico

Autor

William D. DuPont

Editorial

Cambridge University Press

Año

2009

Idioma

Inglés

N° páginas

512

Encuadernación

Tapa Dura

Dimensiones

24.4 x 17.8 x 3.0 cm

Peso

1.22 kg.

ISBN

0521849527

ISBN13

9780521849524

N° edición

0002

Categorías

Investigación médica
Epidemiología y estadística médica

Statistical Modeling for Biomedical Researchers 2nd Edition Hardback: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Hardcover)) (en Inglés)

William D. DuPont (Autor) · Cambridge University Press · Tapa Dura

Libro Nuevo

$ 764.292

$ 1.273.819

Ahorras: $ 509.528

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 17 de Junio y el Lunes 01 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Statistical Modeling for Biomedical Researchers 2nd Edition Hardback: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Hardcover)) (en Inglés)"

For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is used to perform the analyses, in this edition employing the intuitive version 10. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available online through Vanderbilt University.