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Klappentext The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand-and appropriately use-probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference. Inhaltsverzeichnis PREFACE vii 1 INTRODUCTION TO BIOSTATISTICS 1 1.1 Introduction, 2 1.2 Basic Concepts and Definitions, 2 1.3 Measurement and Measurement Scales, 5 1.4 Sampling and Statistical Inference, 7 Exercises, 12 1.5 The Scientific Method, 13 Exercises, 15 1.6 Computers and Technology, 15 1.7 Summary, 16 Review Questions and Exercises, 16 References, 17 2 DESCRIPTIVE STATISTICS 18 2.1 Introduction, 19 2.2 The Ordered Array, 19 2.3 Frequency Tables, 21 Exercises, 25 2.4 Measures of Central Tendency, 29 2.5 Measures of Dispersion, 34 Exercises, 41 2.6 Visualizing Data, 43 Exercises, 51 2.7 Summary, 51 Summary of Formulas for Chapter 2, 51 Review Questions and Exercises, 53 References, 56 3 SOME BASIC PROBABILITY CONCEPTS 57 3.1 Introduction, 57 3.2 Two Views of Probability: Objective and Subjective, 58 3.3 Elementary Properties of Probability, 60 3.4 Calculating the Probability of an Event, 61 Exercises, 68 3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative, 69 Exercises, 73 3.6 Summary, 74 Summary of Formulas for Chapter 3, 75 Review Questions and Exercises, 76 References, 79 4 PROBABILITY DISTRIBUTIONS 80 4.1 Introduction, 81 4.2 Probability Distributions of Discrete Variables, 81 Exercises, 86 4.3 The Binomial Distribution, 87 Exercises, 95 4.4 The Poisson Distribution, 96 Exercises, 100 4.5 Continuous Probability Distributions, 101 4.6 The Normal Distribution, 103 Exercises, 109 4.7 Normal Distribution Applications, 109 Exercises, 113 4.8 Summary, 114 Summary of Formulas for Chapter 4, 114 Review Questions and Exercises, 115 References, 117 5 SOME IMPORTANT SAMPLING DISTRIBUTIONS 119 5.1 Introduction, 119 5.2 Sampling Distributions, 120 5.3 Distribution of the Sample Mean, 121 Exercises, 128 5.4 Distribution of the Difference between Two Sample Means, 129 Exercises, 133 5.5 Distribution of the Sample Proportion, 134 Exercises, 136 5.6 Distribution of the Difference between Two Sample Proportions, 137 Exercises, 139 5.7 Summary, 139 Summary of Formulas for Chapter 5, 140 Review Questions and Exercises, 140 References, 141 6 ESTIMATION 143 ...
