Introductory Biostatistics 2nd edition by Chap le, Lynn Eberly 9781118596074 1118596072
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Authors:Chap T. le; Lynn E. Eberly , Series:Community Medicine [5] , Tags:Medical; Biostatistics; Mathematics; Probability & Statistics; Stochastic Processes , Author sort:Le, Chap T. & Eberly, Lynn E. , Ids:9780470905401 , Languages:Languages:eng , Published:Published:May 2016 , Publisher:John Wiley & Sons , Comments:Comments:Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.
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ISBN 10: 1118596072
ISBN 13: 9781118596074
Author: Chap T. le; Lynn E. Eberly
Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields.
Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes:
• A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs
• A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes
• R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software
• Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts
• Notes on Computations sections to provide further guidance on the use of software
• A related website that hosts the large data sets presented throughout the book
Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.
Introductory Biostatistics 2nd Table of contents:
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 × 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
Exercises
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
11. 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
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