Main description:

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive". This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.

Contents:

Medical Uncertainties Role of Biostatistics Uncertainties in Health and Disease Uncertainties in Medical Research Uncertainties in Health Planning and Evaluation Management of Uncertainties: About This Book Basics of Medical Studies Study Protocol Types of Medical Studies Data Collection Nonsampling Errors and Other Biases Sampling Methods Sampling Concepts Common Methods of Random Sampling Some Other Methods of Sampling Designs for Observational Studies Some Basic Concepts Prospective Studies Retrospective Studies. Cross-Sectional Studies Comparative Performance of Prospective, Retrospective, and Cross-Sectional Studies Medical Experiments Basic Features of Medical Experiments Design of Experiments Choice and Sampling of Units for Laboratory Experiments6 Clinical Trials Therapeutic Trials Issues in Clinical Trials Trials Other than Therapeutics Numerical Methods for Representing Variation Types of Measurement Tabular Presentation Rates and Ratios Central and Other Locations Measuring Variability Presentation of Variation by Figures Graphs for Frequency Distribution Pie, Bar, and Line Diagrams Special Diagrams in Health and Medicine Charts and Maps Some Quantitative Aspects of Medicine Some Epidemiological Measures of Health and Disease Reference Values Measurement of Uncertainty: Probability Validity of Medical Tests Search for the Best Threshold of Continuous Test: ROC Curve Clinimetrics and Evidence-Based Medicine Indicators, Indexes, and Scores Clinimetrics Evidence-Based Medicine Measurement of Community Health Indicators of Mortality Measures of Morbidity Indicators of Social and Mental Health Composite Indexes of Health Confidence Intervals, Principles of Tests of Significance, and Sample Size Sampling Distributions Confidence Intervals P-Values and Statistical Significance Assessing Gaussian Pattern Initial Debate on Statistical Significance Sample Size Determination in Some Cases Inference from Proportions One Qualitative Variable Proportions in 2 x 2 Tables Analysis of R x C Tables (Large n) Three-Way Tables Assessment of Association in Three-Way Tables Relative Risk and Odds Ratio Relative and Attributable Risks (Large n) Odds Ratio Stratified Analysis, Sample Size, and Meta Analysis Inference from Means Comparison of Means in One and Two Groups (Gaussian Conditions): Student t-Test Comparison of Means in Three or More Groups (Gaussian Conditions): ANOVA F-Test Non-Gaussian Conditions: Nonparametric Tests for Location When Significant Is Not Significant Relationships: Quantitative Data Some General Features of a Regression Setup Linear Regression Models Some Issues in Linear Regression Measuring the Strength of Quantitative Relationship Assessment of Quantitative Agreement Relationships: Qualitative Dependent. Binary Dependent: Logistic Regression (Large n) Inference from Logistic Coefficients Issues in Logistic Regression Some Models for Qualitative Data and Generalizations Strength of Relationship in Qualitative Variables Survival Analysis Life Expectancy Analysis of Survival Data Issues in Survival Analysis Simultaneous Consideration of Several Variables Scope of Multivariate Methods Dependent and Independent Sets of Variables Identification of Structure in the Observations Quality Considerations Statistical Quality Control in Medical Care Quality of Measurements Quality of Statistical Models: Robustness Quality of Data Statistical Fallacies Problems with the Sample Inadequate Analysis Errors in Presentation of Findings Misinterpretation Appendix A: Statistical Software Appendix B: Some Statistical Tables Appendix C: Software Illustrations