Biostatistics: Basic Concepts and Methodology for the Health Sciences,International Student Version
Höfundur:
Wayne W. Daniel (Útgáfa: 10)
Kaup valmöguleikar
This Tenth Edition of Biostatistics maintains its predecessors’ comprehensive approach to biostatistics as it is used in the biological sciences. Successfully utilized by both statisticians and practitioners, Biostatistics is an algebra-based text geared towards the advanced undergraduate and graduate student. This new edition has been revised to more closely align with the modern practice of biostatics, teaching methods, and technologies.
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- Wiley Global Education US
- 9781118652916
- 9781118362204
- Page Fidelity (PDF)
- 10
- Wayne W. Daniel
- English
- 01/2013
- 100
- 10
- 2
Kaflar
- TITLE PAGE
- COPYRIGHT
- DEDICATION
- PREFACE
- CONTENTS
- 1 GETTING ACQUAINTED WITH BIOSTATISTICS
- 1.1 Introduction
- 1.2 Some Basic Concepts
- 1.3 Measurement and Measurement Scales
- 1.4 Sampling and Statistical Inference
- 1.5 The Scientific Method and the Design of Experiments
- 1.6 Computers and Biostatistical Analysis
- 1.7 Summary
- Review Questions and Exercises
- References
- 2 STRATEGIES FOR UNDERSTANDING THE MEANINGS OF DATA
- 2.1 Introduction
- 2.2 The Ordered Array
- 2.3 Grouped Data: The Frequency Distribution
- 2.4 Descriptive Statistics: Measures of Central Tendency
- 2.5 Descriptive Statistics: Measures of Dispersion
- 2.6 Summary
- Review Questions and Exercises
- References
- 3 PROBABILITY: THE BASIS OF STATISTICAL INFERENCE
- 3.1 Introduction
- 3.2 Two Views of Probability: Objective and Subjective
- 3.3 Elementary Properties of Probability
- 3.4 Calculating the Probability of an Event
- 3.5 Bayes’ Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and N
- 3.6 Summary
- Review Questions and Exercises
- References
- 4 PROBABILISTIC FEATURES OF CERTAIN DATA DISTRIBUTIONS
- 4.1 Introduction
- 4.2 Probability Distributions of Discrete Variables
- 4.3 The Binomial Distribution
- 4.4 The Poisson Distribution
- 4.5 Continuous Probability Distributions
- 4.6 The Normal Distribution
- 4.7 Normal Distribution Applications
- 4.8 Summary
- Review Questions and Exercises
- References
- 5 PROBABILISTIC FEATURES OF THE DISTRIBUTIONS OF CERTAIN SAMPLE STATISTICS
- 5.1 Introduction
- 5.2 Sampling Distributions
- 5.3 Distribution of the Sample Mean
- 5.4 Distribution of the Difference Between Two Sample Means
- 5.5 Distribution of the Sample Proportion
- 5.6 Distribution of the Difference Between Two Sample Proportions
- 5.7 Summary
- Review Questions and Exercises
- References
- 6 USING SAMPLE DATA TO MAKE ESTIMATES ABOUT POPULATION PARAMETERS
- 6.1 Introduction
- 6.2 Confidence Interval for a Population Mean
- 6.3 The t Distribution
- 6.4 Confidence Interval for the Difference Between Two Population Means
- 6.5 Confidence Interval for a Population Proportion
- 6.6 Confidence Interval for the Difference Between Two Population Proportions
- 6.7 Determination of Sample Size for Estimating Means
- 6.8 Determination of Sample Size for Estimating Proportions
- 6.9 Confidence Interval for the Variance of a Normally Distributed Population
- 6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations
- 6.11 Summary
- Review Questions and Exercises
- References
- 7 USING SAMPLE STATISTICS TO TEST HYPOTHESES ABOUT POPULATION PARAMETERS
- 7.1 Introduction
- 7.2 Hypothesis Testing: A Single Population Mean
- 7.3 Hypothesis Testing: The Difference Between Two Population Means
- 7.4 Paired Comparisons
- 7.5 Hypothesis Testing: A Single Population Proportion
- 7.6 Hypothesis Testing: The Difference Between Two Population Proportions
- 7.7 Hypothesis Testing: A Single Population Variance
- 7.8 Hypothesis Testing: The Ratio of Two Population Variances
- 7.9 The Type II Error and the Power of a Test
- 7.10 Determining Sample Size to Control Type II Errors
- 7.11 Summary
- Review Questions and Exercises
- References
- 8 STATISTICAL INFERENCE AND THE ANALYSIS OF DATA VARIABILITY
- 8.1 Introduction
- 8.2 The Completely Randomized Design
- 8.3 The Randomized Complete Block Design
- 8.4 The Repeated Measures Design
- 8.5 The Factorial Experiment
- 8.6 Summary
- Review Questions and Exercises
- References
- 9 STATISTICAL INFERENCE AND THE RELATIONSHIP BETWEEN TWO VARIABLES
- 9.1 Introduction
- 9.2 The Regression Model
- 9.3 The Sample Regression Equation
- 9.4 Evaluating the Regression Equation
- 9.5 Using the Regression Equation
- 9.6 The Correlation Model
- 9.7 The Correlation Coefficient
- 9.8 Some Precautions
- 9.9 Summary
- Review Questions and Exercises
- References
- 10 STATISTICAL INFERENCE AND THE RELATIONSHIPS AMONG THREE OR MORE VARIABLES
- 10.1 Introduction
- 10.2 The Multiple Linear Regression Model
- 10.3 Obtaining theMultipleRegression Equation
- 10.4 Evaluating theMultiple Regression Equation
- 10.5 Using the Multiple Regression Equation
- 10.6 The Multiple Correlation Model
- 10.7 Summary
- Review Questions and Exercises
- References
- 11 ADDITIONAL TECHNIQUES FOR THE ANALYSIS OF RELATIONSHIPS AMONG VARIABLES
- 11.1 Introduction
- 11.2 Qualitative Independent Variables
- 11.3 Variable Selection Procedures
- 11.4 Logistic Regression
- 11.5 Summary
- Review Questions and Exercises
- References
- 12 ANALYSIS OF FREQUENCY DATA: AN INTRODUCTION TO THE CHI-SQUARE DISTRIBUTION
- 12.1 Introduction
- 12.2 The Mathematical Properties of the Chi-Square Distribution
- 12.3 Tests of Goodness-of-Fit
- 12.4 Tests of Independence
- 12.5 Tests of Homogeneity
- 12.6 The Fisher Exact Test
- 12.7 Relative Risk, Odds Ratio, and the Mantel–Haenszel Statistic
- 12.8 Summary
- Review Questions and Exercises
- References
- 13 SPECIAL TECHNIQUES FOR USE WHEN POPULATION PARAMETERS AND/OR POPULATION DISTRIBUTIONS ARE UNKNOWN
- 13.1 Introduction
- 13.2 Measurement Scales
- 13.3 The Sign Test
- 13.4 The Wilcoxon Signed-Rank Test for Location
- 13.5 The Median Test
- 13.6 The Mann–Whitney Test
- 13.7 The Kolmogorov–Smirnov Goodness-of-Fit Test
- 13.8 The Kruskal–Wallis One-Way Analysis of Variance by Ranks
- 13.9 The Friedman Two-Way Analysis of Variance by Ranks
- 13.10 The Spearman Rank Correlation Coefficient
- 13.11 Nonparametric Regression Analysis
- 13.12 Summary
- Review Questions and Exercises
- References
- 14 EVALUATING THE HEALTH OF HUMAN GROUPS: VITAL STATISTICS
- 14.1 Introduction
- 14.2 Time-to-Event Data and Censoring
- 14.3 The Kaplan–Meier Procedure
- 14.4 Comparing Survival Curves
- 14.5 Cox Regression: The Proportional Hazards Model
- 14.6 Summary
- Review Questions and Exercises
- References
- APPENDIX: STATISTICAL TABLES
- ANSWERS TO ODD-NUMBERED EXERCISES
- INDEX