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Biostatistics : basic concepts and methodology for the health sciences / Wayne W. Daniel.

By: Material type: TextTextPublication details: Hoboken, N.J. : Wiley, c2010.Edition: 9th ed., International student versionDescription: xi, 783 p. : ill. ; 24 cmISBN:
  • 9780470413333 (pbk.) :
  • 9780470413333
Subject(s): DDC classification:
  • 570.15195 WAY
  • 519.502461 22
Contents:
Preface. 1. Introduction To 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. Descriptive Statistics. 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. Some Basic Probability Concepts. 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 Negative. Summary. Review Questions and Exercises. References. 4. Probability 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. Some Important Sampling Distributions. 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. Estimation. 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. Hypothesis Testing. 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. Analysis Of Variance. 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. Simple Linear Regression And Correlation. 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. Multiple Regression And Correlation. 10.1 Introduction. 10.2 The Multiple Linear Regression Model. 10.3 Obtaining the Multiple Regression Equation. 10.4 Evaluating the Multiple Regression Equation. 10.5 Using the Multiple Regression Equation. 10.6 The Multiple Correlation Model. 10.7 Summary. Review Questions and Exercises. References. 11. Regression Analysis: Some Additional Techniques. 11.1 Introduction. 11.2 Qualitative Independent Variables. 11.3 Variable Selection Procedures. 11.4 Logistic Regression. 11.5 Summary.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone Nursing Collection 570.15195 WAY (Browse shelf(Opens below)) 1 Available 217544

Previous ed.: 2004.

Includes bibliographical references and index.

Preface. 1. Introduction To 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. Descriptive Statistics. 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. Some Basic Probability Concepts. 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 Negative. Summary. Review Questions and Exercises. References. 4. Probability 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. Some Important Sampling Distributions. 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. Estimation. 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. Hypothesis Testing. 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. Analysis Of Variance. 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. Simple Linear Regression And Correlation. 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. Multiple Regression And Correlation. 10.1 Introduction. 10.2 The Multiple Linear Regression Model. 10.3 Obtaining the Multiple Regression Equation. 10.4 Evaluating the Multiple Regression Equation. 10.5 Using the Multiple Regression Equation. 10.6 The Multiple Correlation Model. 10.7 Summary. Review Questions and Exercises. References. 11. Regression Analysis: Some Additional Techniques. 11.1 Introduction. 11.2 Qualitative Independent Variables. 11.3 Variable Selection Procedures. 11.4 Logistic Regression. 11.5 Summary.

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