Principles of biostatistics 2nd edition google book
ANALYSIS OF VARIANCE One-Way Analysis of Variance / Multiple Comparisons Procedures / Further Applications / Review Exercises / Bibliography 13. COMPARISON OF TWO MEANS Paired Samples / Independent Samples / Further Applications / Review Exercises / Bibliography 12. HYPOTHESIS TESTING General Concepts / Two-Sided Tests of Hypotheses / One-Sided Tests of Hypotheses / Types of Error / Power / Sample Size Estimation / Further Applications / Review Exercises / Bibliography 11. CONFIDENCE INTERVALS Two-Sided Confidence Intervals / One-Sided Confidence Intervals / Student's t Distribution / Further Applications / Review Exercises / Bibliography 10. SAMPLING DISTRIBUTION OF THE MEAN Sampling Distributions / The Central Limit Theorem / Applications on the Central Limit Theorem / Further Applications / Review Exercises / Bibliography 9. THEORETICAL PROBABILITY DISTRIBUTIONS Probability Distributions / The Binomial Distribution / The Poisson Distribution / The Normal Distribution / Further Applications / Review Exercises / Bibliography 8.
PROBABILITY Operations on Events and Probability / Conditional Probability / Bayes' Theorem / Diagnostic Tests / The Relative Risk and the Odds Ratio / Further Applications / Review Exercises / Bibliography 7. RATES AND STANDARDIZATION Rates / Standardization of Rates / Further Applications / Review Exercises / Bibliography 5.LIFE TABLES Computation of the Life Table / Applications of the Life Table / Years of Potential Life Lost / Further Applications / Review Exercises / Bibliography 6. NUMERICAL SUMMARY MEASURES Measures of Central Tendency / Measures of Dispersion / Grouped Data / Chebychev's Inequality / Further Applications / Review Exercises / Bibliography 4. DATA PRESENTATION Types of Numerical Data / Tables / Graphs / Further Applications / Review Exercises / Bibliography 3. INTRODUCTION Overview / Review Exercises / Bibliography 2. Inference for Regression Coefficients -ġ. The Least-Squares Regression Equation -ġ9.1.2. The Coefficient of Determination -ġ9.1.1. Inference for Regression Coefficients -ġ8.2.4. Spearman's Rank Correlation Coefficient -ġ8.2.1. Sampling Distribution of a Proportion -ġ7.2. Normal Approximation to the Binomial Distribution -ġ4.2. Advantages and Disadvantages of Nonparametric Methods -ġ4.1. Applications of the Central Limit Theorem -ġ3.4. Theoretical Probability Distributions -Ĩ.3. Operations on Events and Probability -Ħ.5. Indirect Method of Standardization -Ĥ.3.1. Quantitative principles discussed include descriptive statistics, life tables, probability, hypothesis testing, parameter estimation, regression (linear and logistic) correlation, survival analysis and analysis of variance more.0534229026 9780534229023 9780534373986 0534373984ġ volume (various pagings) : illustrations 25 cmģ.2.3. The authors rely heavily on graphics to illustrate material and incorporate the use of computers to facilitate doing computations so students can concentrate on concepts. Students are encouraged to use common sense rather than rigorous theory to gain an understanding of statistics. Students are encouraged to use common sense rather than rigorous theory to gain an understanding of statist This introduction to biostatistics offers health science students with limited mathematics and statistics backgrounds a conceptually-based introduction to statistical procedures that will prepare them to conduct or evaluate research in biological and health sciences. This introduction to biostatistics offers health science students with limited mathematics and statistics backgrounds a conceptually-based introduction to statistical procedures that will prepare them to conduct or evaluate research in biological and health sciences.