Introductory applied biostatistics - D'Agostino, Ralph B. SR.; Sullivan, Lisa M. (Lisa Marie) 1961- .; Beiser, Alexa S. (Belmont, California Thomson, Brooks/Cole, 2006)
Chap.1. INTRODUCTION -- Chap. 2. MOTIVATION. Vocabulary. Population Parameters. Sampling and Sample Statistics. Statistical Inference -- Chap. 3. SUMMARIZING DATA. Background. Descriptive Statistics and Graphical Methods. Key Formulas. Statistical Computing. Problems -- Chap. 4. PROBABILITY. First Principles. Combinations and Permutations. The Binomial Distribution. The Normal Distribution. Key Formulas. Applications Using SAS. Problems -- Chap. 5. SAMPLING DISTRIBUTIONS. The Central Limit Theorem. Key Formulas. Applications Using SAS. Problems -- Chap. 6. STATISTICAL INFERENCE: PROCEDURES FOR ? Estimating ?. Testing Hypotheses Concerning ?. Key Formulas. Statistical Computing. Problems -- Chap. 7. STATISTICAL INFERENCE: PROCEDURES FOR (?1-?2) Statistical Inference Concerning (?1-?2). Power and Samples Size Determination. Key Formulas. Statistical Computing. Problems. 8. CATEGORICAL DATA. Statistical Inference Concerning p. Cross-tabulation Tables. Diagnostic Tests: Sensitivity and Specificity. Statistical Inference Concerning (p1-p2). Chi-Square Tests. Precision, Power and Sample Size Determination. Key Formulas. Statistical Computing. Problems -- Chap. 9. COMPARING RISKS IN TWO POPULATIONS. Effect Measures. Confidence Intervals for Effect Measures. The Chi-Square Test of Homogeneity. Fisher's Exact Test. Cox-Mantel-Haenzel Method. Precision, Power and Sample Size Determination. Key Formulas. Statistical Computing. Problems -- Chap. 10. ANALYSIS OF VARIANCE. Background Logic. Notation and Examples. Fixed vs. Random Effects Models. Evaluating Treatment Effects. Multiple Comparisons. Repeated Measures Analysis of Variance. Key Formulas. Statistical Computing. Problems -- Chap. 11. CORRELATION AND REGRESSION. Correlation Analysis. Simple Linear Regression. Multiple Regression Analysis. Logistic Regression Analysis. Key Formulas. Statistical Computing. Problems -- Chap. 12. LOGISTIC REGRESSION ANALYSIS. The Logistic Model. Statistical Inference for Simple Logistic Regression. Multiple Logistic Regression. ROC Area. Key Formulas. Statistical Computing. Problems -- Chap. 13. NONPARAMETRIC TESTS. Introduction. The Sign Test (Two Dependent Samples Test). The Wilcoxon Signed-Rank Test (Two Dependent Samples). The Wilcoxon Rank Sum Test (Two Independent Samples). The Kruskal-Wallis Test (k Independent Samples). Spearman Correlation (Correlation between Variables). Key Formulas. Statistical Computing. Problems -- Chap. 14. INTRODUCTION TO SURVIVAL ANALYSIS. Incomplete Follow-Up. Time to Event. Survival Analysis Techniques.
Includes index.
Keywords: Biometry