BIOSTATISTICS

by
Edition: 3rd
Format: Paperback
Pub. Date: 2008-01-01
Publisher(s): MCGRAW HILL RYERSON
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Summary

This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike applaud Biostatistics: as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra. The new Bare Essentials reflects recent advances in statistics, as well as time-honored methods. For example hierarchical linear modeling, which first appeared in psychology journals and only now is seen in medical literature, is described. Also new is a chapter on testing for equivalence and non-inferiority, and another on getting started with the computer statistics program, SPSS. Free of calculations and jargon, Bare Essentials speak so plainly that you won t need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients. Throughout the guide, you'll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these C.R.A.P. Detectors (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics.

Table of Contents

The Nature of Data and Statistics
The Basics
Looking at the Data: A First look at Graphing Data
Describing the Data with Numbers: Measures of Central Tendency and Dispersion
The Normal Distribution
Probability
Elements of Statistical Inference
C.R.A.P. DETECTORS
Analysis of Variance
Comparing Two Groups: The t-Test
More than Two Groups: One-Way ANOVA
Factorial ANOVA
Two Repeated Observations: he Paired t-Test and Alternatives
Repeated-Measures ANOVA
Multivariate ANOVA (MANOVA)
C.R.A.P. DETECTORS
Regression and Correlation
Simple Regression and Correlation
Multiple Regression
Logistic Regression
Advanced Topics in Regression and ANOVA
Measuring Change
Analysis of Longitudinal Data: Hierarchical Linear Models
Principal Components and Factor Analysis: Fooling Around with Factors
Path Analysis and Structural Equation Modeling
C.R.A.P. DETECTORS
Nonparametric Statistics
Tests of Significance for Categorical Frequency Data
Measures of Association for Categorical Data
Tests of Significance for Ranked Data
Measures of Association for Ranked Data
Survival Analysis
C.R.A.P. DETECTORS
Reprise
Equivalence and Non-Inferiority Testing
Screwups, Oddballs, and other Vagaries of Science
Locating Outliers, Handling Missing Data, and Transformations
Putting it All Together
Getting Started with SPSS
Test Yourself (Being a Compendium of Questions and Answers)
Answers to Chapter Exercises
References and Further Reading
Unabashed Glossary
Appendices
Index
Table of Contents provided by Publisher. All Rights Reserved.

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