Medical Statistics and Computer Experiments: (With CD-ROM) – PDF/EPUB Version Downloadable

$49.99

Author(s): Ji-Qian Fang
Publisher: WSPC
ISBN: 9789812561831
Edition:

Important: No Access Code

Delivery: This can be downloaded Immediately after purchasing.

Version: Only PDF Version.

Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)

Quality: High Quality. No missing contents. Printable

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Description

This textbook consists of three parts: basic concepts of statistics, advanced statistical methods, and design and analysis for medical research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more easily understood, there is a section of “computer experiments” in each chapter where some basic statistical phenomena and related concepts are revealed. The statistical software SAS is used to carry out related statistical calculations.

The aim of this book is to make medical students and researchers grasp easily the most useful tools of statistics for their medical research. It is done through various applications to a great number of medical problems, interesting demonstration of well-designed computer experiments and detailed explanation of statistical thinking.
Contents:
Basic Concepts of Statistics:
Descriptive Statistics
Hypothesis Testing for Continuous Variables
Simple Linear Regression
Analysis of Variance
Advanced Statistical Methods:
Multiple Regression and Correlation
Discriminant Analysis
Factor Analysis
Survival Analysis
Design and Analysis for Medical Research:
Analysis of Repeated Continuous-Type Measurements
Design and Analysis of Sequential Experiments
Statistical Methods for Data from Genetic Epidemiological Study
The Systematic Review of Medical Literatures and Meta-Analysis
and others

Readership: Graduate students, lecturers and researchers in medicine, public health and applied statistics.
Key Features:
Emphasizes statistical thinking in teaching the most useful designs and analyses for medical research
Provides rich examples to show applications of statistical theories and methods
Uses the powerful statistical software package SAS throughout the book
Keywords: Statistics; Medical Research; Computer Experiment; SAS