PDQ Statistics, Volume 1

Front Cover
PMPH-USA, 2003 - Medical - 218 pages
3 Reviews
PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. The book covers the major categories - variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples. This third edition includes new chapters on hierarchical and logistic regression, path analysis, and structural equation modeling. PDQ Statistics, Third Edition also helps the reader identify those statistical analyses with basic flaws in design or research. The book's attractive design and humorous writing style make the subject matter accessible and engaging. **Please note that this title is no longer accompanied by CD.
 

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PDQ Statistics

User Review  - schuae07 - Overstock.com

A comprehensive and compact book on basic statistics written in a wry tone that is especially useful for those in the scientific fields. Highly recommended for college students who need to understand and use statistics for their work as well as the work of others in the field. Read full review

User Review - Flag as inappropriate

This book got me through Johns Hopkins School of Hygiene and Public Health, and turned me into a healthy skeptic during my twenty years of international public health program managing.
A must-have for anyone in public health.

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Contents

Names and Numbers Types of Variables
1
Describing Data
5
Parametric Statistics
13
Statistical Inference
14
Comparison of Means of Two Samples The t Test
35
Comparison among Many Means Analysis of Variance
41
Relationship between Interval and Ratio Variables Linear and Multiple Regression
53
Analysis of Covariance
62
Advanced Nonparametric Methods
113
Multivariate Statistics
125
Introduction to Multivariate Statistics
126
Multivariate Analysis of Variance
130
Discriminant Function Analysis
136
Exploratory Factor Analysis
144
Path Analysis and Structural Equation Modeling
156
Cluster Analysis
177

Variations on Linear Regression Logistic Regression General Linear Model and Hierarchical Linear Models
67
Time Series Analysis
78
Nonparametric Statistics
85
Nonparametric Tests of Significance
86
Nonparametric Measures of Association
101
Canonical Correlation
187
Reprise
193
Research Designs
205
Index
210
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About the author (2003)

Geoffrey Norman PhD Professor, Department of Clinical Epidemiology and Biostatics McMaster University Hamilton, Ontario

David Streiner PhD Assistant Vice President, Research Director Kunin-Lunenfeld Applied Research Unit Baycreat Centre of Geriatric Care Professor, Department of Psychiatry University of Toronto Toronto, Ontario

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