 |
Introductory biostatistics / Chap T. Le, Lynn E. Eberly. -- Second edition. -- Hoboken, New Jersey : John Wiley & Sons, Inc., 2016. – (58.1057 /L433 /2nd ed.) |
Contents
Preface to the Second Edition
Preface to the First Edition
About the Companion Website
1
Descriptive Methods for Categorical Data
1.1
Proportions
1.2 Rates
1.3 Ratios
1.4 Notes on Computations
Exercises
2 Descriptive
Methods for Continuous Data
2.1 Tabular and Graphical Methods
2.2 Numerical Methods
2.3 Special Case of Binary Data
2.4 Coefficients of Correlation
2.5 Notes on Computations
Exercises
3
Probability and Probability Models
3.1 Probability
3.2 Normal Distribution
3.3 Probability Models for Continuous Data
3.4 Probability Models for Discrete Data
3.5 Brief Notes on the Fundamentals
3.6 Notes on Computations
Exercises
4 Estimation
of Parameters
4.1 Basic Concepts
4.2 Estimation of Means
4.3 Estimation of Proportions
4.4 Estimation of Odds Ratios
4.5 Estimation of Correlation Coefficients
4.6 Brief Notes on the Fundamentals
4.7 Notes on Computations
Exercises
5 Introduction
to Statistical Tests of Significance
5.1 Basic Concepts
5.2 Analogies
5.3 Summaries and Conclusions
5.4 Brief Notes on the Fundamentals
Exercises
6 Comparison
of Population Proportions
6.1 One-Sample Problem with Binary Data
6.2 Analysis of Pair-Matched Data
6.3 Comparison of Two Proportions
6.4 Mantel-Haenszel Method
6.5 Inferences for General Two-Way Tables
6.6 Fisher's Exact Test
6.7 Ordered 2 x K Contingency Tables
6.8 Notes on Computations
Exercises
7 Comparison
of Population Means
7.1
One-Sample Problem with Continuous Data
7.2 Analysis of Pair-Matched Data
7.3 Comparison of Two Means
7.4 Nonparametric Methods
7.5 One-Way Analysis of Variance
7.6 Brief
Notes on the Fundamentals
7.7 Notes on
Computations
Exercises
8 Analysis
of Variance
8.1
Factorial Studies
8.2 Block
Designs
8.3
Diagnostics
Exercises
9 Regression
Analysis
9.1 Simple
Regression Analysis
9.2 Multiple
Regression Analysis
9.3
Graphical and Computational Aids
10 Logistic
Regression
10.1 Simple Regression Analysis
10.2
Multiple Regression Analysis
10.3 Brief
Notes on the Fundamentals
10.4 Notes on Computing
Exercises
ll Methods
for Count Data
11.1 Poisson
Distribution
11.2 Testing Goodness of Fit
11.3 Poisson
Regression Model
Exercises
12 Methods
for Repeatedly Measured Responses
12.1
Extending Regression Methods Beyond Independent Data
12.2
Continuous Responses
12.3 Binary Responses
12.4 Count
Responses
12.5
Computational Notes
Exercises
13 Analysis
of Survival Data and Data from Matched Studies
13.1
Survival Data
13.2 Introductory Survival Analyses
13.3 Simple
Regression and Correlation
13.4
Multiple Regression and Correlation
13.5
Pair-Matched Case-Control Studies
13.6
Multiple Matching
13.7
Conditional Logistic Regression
Exercises
14 Study
Designs
14.1 Types
of Study Designs
14.2
Classification of Clinical Trials
14.3
Designing Phase I Cancer Trials
14.4 Sample
Size Determination for Phase II Trials and Surveys
14.5 Sample
Sizes for Other Phase II Trials
14.6 About
Simon's Two-Stage Phase II Design
14.7 Phase
II Designs for Selection
14.8 Toxicity
Monitoring in Phase II Trials
14.9 Sample
Size Determination for Phase III Trials
14.10 Sample
Size Determination for Case-Control Studies
Exercises
References
Appendices
Answers to Selected Exercises
Index
