Introductory Biostatistics

ISBN-10: 0471418161

ISBN-13: 9780471418160

Edition: 2003

Authors: Chap T. Le

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Description:

Written for professional and beginning graduate students in human health disciplines, this is a user-friendly and real data-based text that makes a difficult and dry subject accessible. It presents statistics as a way of thinking about ways to gather and analyse data so as to be of benefit.
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Book details

List price: $183.00
Copyright year: 2003
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/28/2003
Binding: Hardcover
Pages: 552
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.936
Language: English

Preface
Descriptive Methods for Categorical Data
Proportions
Comparative Studies
Screening Tests
Displaying Proportions
Rates
Changes
Measures of Morbidity and Mortality
Standardization of Rates
Ratios
Relative Risk
Odds and Odds Ratio
Generalized Odds for Ordered 2 x k Tables
Mantel Haenszel Method
Standardized Mortality Ratio
Notes on Computations
Exercises
Descriptive Methods for Continuous Data
Tabular and Graphical Methods
One-Way Scatter Plots
Frequency Distribution
Histogram and the Frequency Polygon
Cumulative Frequency Graph and Percentiles
Stem-and-Leaf Diagrams
Numerical Methods
Mean
Other Measures of Location
Measures of Dispersion
Box Plots
Special Case of Binary Data
Coefficients of Correlation
Pearson's Correlation Coefficient
Nonparametric Correlation Coefficients
Notes on Computations
Exercises
Probability and Probability Models
Probability
Certainty of Uncertainty
Probability
Statistical Relationship
Using Screening Tests
Measuring Agreement
Normal Distribution
Shape of the Normal Curve
Areas under the Standard Normal Curve
Normal Distribution as a Probability Model
Probability Models for Continuous Data
Probability Models for Discrete Data
Binomial Distribution
Poisson Distribution
Brief Notes on the Fundamentals
Mean and Variance
Pair-Matched Case-Control Study
Notes on Computations
Exercises
Estimation of Parameters
Basic Concepts
Statistics as Variables
Sampling Distributions
Introduction to Confidence Estimation
Estimation of Means
Confidence Intervals for a Mean
Uses of Small Samples
Evaluation of Interventions
Estimation of Proportions
Estimation of Odds Ratios
Estimation of Correlation Coefficients
Brief Notes on the Fundamentals
Notes on Computations
Exercises
Introduction to Statistical Tests of Significance
Basic Concepts
Hypothesis Tests
Statistical Evidence
Errors
Analogies
Trials by Jury
Medical Screening Tests
Common Expectations
Summaries and Conclusions
Rejection Region
p Values
Relationship to Confidence Intervals
Brief Notes on the Fundamentals
Type I and Type II Errors
More about Errors and p Values
Exercises
Comparison of Population Proportions
One-Sample Problem with Binary Data
Analysis of Pair-Matched Data
Comparison of Two Proportions
Mantel-Haenszel Method
Inferences for General Two-Way Tables
Fisher's Exact Test
Ordered 2 x k Contingency Tables
Notes on Computations
Exercises
Comparison of Population Means
One-Sample Problem with Continuous Data
Analysis of Pair-Matched Data
Comparison of Two Means
Nonparametric Methods
Wilcoxon Rank-Sum Test
Wilcoxon Signed-Rank Test
One-Way Analysis of Variance
Brief Notes on the Fundamentals
Notes on Computations
Exercises
Correlation and Regression
Simple Regression Analysis
Simple Linear Regression Model
Scatter Diagram
Meaning of Regression Parameters
Estimation of Parameters
Testing for Independence
Analysis-of-Variance Approach
Multiple Regression Analysis
Regression Model with Several Independent Variables
Meaning of Regression Parameters
Effect Modifications
Polynomial Regression
Estimation of Parameters
Analysis-of-Variance Approach
Testing Hypotheses in Multiple Linear Regression
Notes on Computations
Exercises
Logistic Regression
Simple Regression Analysis
Simple Logistic Regression Model
Measure of Association
Effect of Measurement Scale
Tests of Association
Use of the Logistic Model for Different Designs
Overdispersion
Multiple Regression Analysis
Logistic Regression Model with Several Covariates
Effect Modifications
Polynomial Regression
Testing Hypotheses in Multiple Logistic Regression
Receiver Operating Characteristic Curve
ROC Curve and Logistic Regression
Brief Notes on the Fundamentals
Exercise
Methods for Count Data
Poisson Distribution
Testing Goodness of Fit
Poisson Regression Model
Simple Regression Analysis
Multiple Regression Analysis
Overdispersion
Stepwise Regression
Exercise
Analysis of Survival Data and Data from Matched Studies
Survival Data
Introductory Survival Analyses
Kaplan Meier Curve
Comparison of Survival Distributions
Simple Regression and Correlation
Model and Approach
Measures of Association
Tests of Association
Multiple Regression and Correlation
Proportional Hazards Model with Several Covariates
Testing Hypotheses in Multiple Regression
Time-Dependent Covariates and Applications
Pair-Matched Case-Control Studies
Model
Analysis
Multiple Matching
Conditional Approach
Estimation of the Odds Ratio
Testing for Exposure Effect
Conditional Logistic Regression
Simple Regression Analysis
Multiple Regression Analysis
Exercises
Study Designs
Types of Study Designs
Classification of Clinical Trials
Designing Phase I Cancer Trials
Sample Size Determination for Phase II Trials and Surveys
Sample Sizes for Other Phase II Trials
Continuous Endpoints
Correlation Endpoints
About Simon's Two-Stage Phase II Design
Phase II Designs for Selection
Continuous Endpoints
Binary Endpoints
Toxicity Monitoring in Phase II Trials
Sample Size Determination for Phase III Trials
Comparison of Two Means
Comparison of Two Proportions
Survival Time as the Endpoint
Sample Size Determination for Case-Control Studies
Unmatched Designs for a Binary Exposure
Matched Designs for a Binary Exposure
Unmatched Designs for a Continuous Exposure
Exercises
Bibliography
Appendices
Answers to Selected Exercises
Index
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