Жанры
Авторы
Контакты
О сайте
Книжные новинки
Популярные книги
Найти
Главная
Авторы
Richard J. Rossi
Applied Biostatistics for the Health Sciences
Читать книгу Applied Biostatistics for the Health Sciences - Richard J. Rossi - Страница 1
Оглавление
Предыдущая
Следующая
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
...
79
Оглавление
Купить и скачать книгу
Вернуться на страницу книги Applied Biostatistics for the Health Sciences
Оглавление
Страница 1
APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES
Страница 3
Contents
List of Illustrations
List of Tables
Guide
Pages
PREFACE
Topic Coverage
Special Features
Pedagogical Features
Teaching from this Book
Website
Acknowledgments
CHAPTER
1
INTRODUCTION TO BIOSTATISTICS
1.1 What is Biostatistics?
1.2 Populations, Samples, and Statistics
1.2.1 The Basic Biostatistical Terminology
Example 1.1
Example 1.2
1.2.2 Biomedical Studies
Example 1.3
Example 1.4
Example 1.5
Example 1.6
Example 1.7
1.2.3 Observational Studies Versus Experiments
Example 1.8
Example 1.9
Example 1.10
1.3 Clinical Trials
1.3.1 Safety and Ethical Considerations in a Clinical Trial
1.3.2 Types of Clinical Trials
1.3.3 The Phases of a Clinical Trial
1.4 Data Set Descriptions
1.4.1 Birth Weight Data Set
1.4.2 Body Fat Data Set
1.4.3 Coronary Heart Disease Data Set
1.4.4 Prostate Cancer Study Data Set
1.4.5 Intensive Care Unit Data Set
1.4.6 Mammography Experience Study Data Set
1.4.7 Benign Breast Disease Study
1.4.8 Exerbike Data Sets
Glossary
Exercises
CHAPTER
2
DESCRIBING POPULATIONS
2.1 Populations and Variables
2.1.1 Qualitative Variables
2.1.2 Quantitative Variables
2.1.3 Multivariate Data
2.2 Population Distributions and Parameters
2.2.1 Distributions
2.2.2 Describing a Population with Parameters
2.2.3 Proportions and Percentiles
2.2.4 Parameters Measuring Centrality
2.2.5 Measures of Dispersion
THE EMPIRICAL RULES
2.2.6 The Coefficient of Variation
2.2.7 Parameters for Bivariate Populations
2.3 Probability
THE AXIOMS OF PROBABILITY
2.3.1 Basic Probability Rules
2.3.2 Conditional Probability
2.3.3 Independence
INDEPENDENT EVENTS
2.3.4 The Relative Risk and the Odds Ratio
2.4 Probability Models
2.4.1 The Binomial Probability Model
THE BINOMIAL CONDITIONS
2.4.2 The Normal Probability Model
PROPERTIES OF A NORMAL DISTRIBUTION
COMPUTING STANDARD NORMAL PROBABILITIES
THE RELATIONSHIPS BETWEEN A STANDARD NORMAL AND A NON-STANDARD NORMAL
NON-STANDARD NORMAL PROBABILITIES
2.4.3
Z
Scores
Glossary
Exercises
{buyButton}
Подняться наверх
