TY  - BOOK
AU  - Bland, Martin
ED  - University of Oxford 
TI  - An introduction to medical statistics (Fourth edition)
SN  - 9780199589920
U1  - 610.021 22
PY  - 2015///
CY  - United Kingdom
PB  - Oxford University Press .
KW  - Estadística médica
KW  - Medical Statistics
KW  - Metodología científica(Medicina)
KW  - Scientific methodology(Medicine)
N1  - Contiene: Índice, referencias y apéndice; I. Introduction -- II. The design of experiments -- III. Sampling and observational studies -- IV. Summarizing data -- V. Presenting data -- VI. Probability -- VII. The Normal distribution -- VIII. Estimation -- IX. Significance tests -- X. Comparing the means of small samples -- XI. Regression and correlation -- XII. Methods based on rank order -- XIII. The analysis of cross-tabulations -- XIV. Choosing the statistical method -- XV. Multifactorial methods -- XVI. Time to event data -- XVII. Meta-analysis XVIII. Determination of sample size -- XIX. Missing data -- XX. Clinical measurement -- XXI. Mortality statistics and population structure -- XXII. The Bayesian approach -- Appendix 1: Suggested answers to multiple choice questions and exercises
N2  - If you want to understand some of the statistical ideas important to medicine, but are afraid of being overwhelmed by math, you'll love Introduction to Medical Statistics. It remains a 'must have' textbook for anyone who needs clear logical guidance on the subject. Written in an easy-to-understand style and packed with real-life examples, the text clearly explains the statistical principles used in the medical literature. Using excerpts from actual studies, the author illustrates how data can be used right and wrong in medical research; Si desea comprender algunas de las ideas estadísticas importantes para la medicina, pero teme verse abrumado por las matemáticas, le encantará Introducción a la estadística médica. Continúa siendo un libro de texto 'imprescindible' para cualquier persona que necesite una guía lógica clara sobre el tema. Escrito en un estilo fácil de entender y repleto de ejemplos de la vida real, el texto explica claramente los principios estadísticos utilizados en la literatura médica. Usando extractos de estudios reales, el autor ilustra cómo los datos pueden emplearse correcta e incorrectamente en la investigación médica
ER  -