BIOSTATISTICS

by Geoffrey R. Norman and David L. Streiner

• ISBN13: 9781550093476
• ISBN10: 1550093479
• Edition: 3rd
• Format: Paperback
• Copyright: 2008-01-01
• Publisher: MCGRAW HILL RYERSON

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.