{"product_id":"biostatistics-for-oral-healthcare-isbn-9780813828183","title":"Biostatistics for Oral Healthcare","description":"\u003ci\u003eBiostatistics for Oral Healthcare\u003c\/i\u003e offers students, practitioners and instructors alike a comprehensive guide to mastering biostatistics and their application to oral healthcare. Drawing on situations and methods from dentistry and oral healthcare, this book provides a thorough treatment of statistical concepts in order to promote in-depth and correct comprehension, supported throughout by technical discussion and a multitude of practical examples.  \u003cb\u003eChapter 1. Introduction\u003c\/b\u003e. \u003cp\u003e1. What Is Biostatistics?.\u003c\/p\u003e \u003cp\u003e2. Why Do I Need Statistics?.\u003c\/p\u003e \u003cp\u003e3. How Much Mathematics Do I Need?.\u003c\/p\u003e \u003cp\u003e4. How to Study Statistics?.\u003c\/p\u003e \u003cp\u003e5. Reference.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Summarizing Data\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Raw Data and Basic Terminology.\u003c\/p\u003e \u003cp\u003e2. The Levels of Measurements.\u003c\/p\u003e \u003cp\u003e3. Frequency Distributions.\u003c\/p\u003e \u003cp\u003eFrequency Tables.\u003c\/p\u003e \u003cp\u003eRelative Frequency.\u003c\/p\u003e \u003cp\u003e4. Graphs.\u003c\/p\u003e \u003cp\u003eBar Graphs.\u003c\/p\u003e \u003cp\u003ePie Charts.\u003c\/p\u003e \u003cp\u003eLine Graphs.\u003c\/p\u003e \u003cp\u003eHistograms.\u003c\/p\u003e \u003cp\u003eStem and Leaf Plots.\u003c\/p\u003e \u003cp\u003e5. Clinical Trials.\u003c\/p\u003e \u003cp\u003e6. Confounding Variables.\u003c\/p\u003e \u003cp\u003e7. Exercises.\u003c\/p\u003e \u003cp\u003e8. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Measures of Central Tendency, Dispersion, and Skewness\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Mean.\u003c\/p\u003e \u003cp\u003e3. Weighted Mean.\u003c\/p\u003e \u003cp\u003e4. Median.\u003c\/p\u003e \u003cp\u003e5. Mode.\u003c\/p\u003e \u003cp\u003e6. Geometric Mean.\u003c\/p\u003e \u003cp\u003e7. Harmonic Mean.\u003c\/p\u003e \u003cp\u003e8. Mean and Median of Grouped Data.\u003c\/p\u003e \u003cp\u003e9. Mean of Two or More Means.\u003c\/p\u003e \u003cp\u003e10. Range.\u003c\/p\u003e \u003cp\u003e11. Percentiles and Interquartile Range.\u003c\/p\u003e \u003cp\u003e12. Box-whisker Plot.\u003c\/p\u003e \u003cp\u003e13. Variance and Standard Deviation.\u003c\/p\u003e \u003cp\u003e14. Coefficient of Variation.\u003c\/p\u003e \u003cp\u003e15. Variance of the Grouped Data.\u003c\/p\u003e \u003cp\u003e16. Skewness.\u003c\/p\u003e \u003cp\u003e17. Exercises.\u003c\/p\u003e \u003cp\u003e18. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Probability.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Sample Space and Events.\u003c\/p\u003e \u003cp\u003e3. Basic Properties of Probability.\u003c\/p\u003e \u003cp\u003e4. Independence and Mutually Exclusive Events.\u003c\/p\u003e \u003cp\u003e5. Conditional Probability.\u003c\/p\u003e \u003cp\u003e6. Bayes Theorem.\u003c\/p\u003e \u003cp\u003e7. Rates and Proportions.\u003c\/p\u003e \u003cp\u003ePrevalence and Incidence.\u003c\/p\u003e \u003cp\u003eSensitivity and Specificity.\u003c\/p\u003e \u003cp\u003eRelative Risk and Odds Ratio.\u003c\/p\u003e \u003cp\u003e8. Exercises.\u003c\/p\u003e \u003cp\u003e9. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Probability Distributions\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Binomial Distribution.\u003c\/p\u003e \u003cp\u003e3. Poisson Distribution.\u003c\/p\u003e \u003cp\u003e4. Poisson Approximation to Binomial Distribution.\u003c\/p\u003e \u003cp\u003e5. Normal Distribution.\u003c\/p\u003e \u003cp\u003eProperties of Normal Distributions.\u003c\/p\u003e \u003cp\u003eStandard Normal Distribution.\u003c\/p\u003e \u003cp\u003eUsing Normal Probability Table.\u003c\/p\u003e \u003cp\u003eFurther Applications of Normal Probability.\u003c\/p\u003e \u003cp\u003eNormal Approximation to the Binomial Distribution.\u003c\/p\u003e \u003cp\u003e6. Exercises.\u003c\/p\u003e \u003cp\u003e7. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Sampling Distributions\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Sampling Distribution of the Mean.\u003c\/p\u003e \u003cp\u003eStandard Error of the Sample Mean.\u003c\/p\u003e \u003cp\u003eCentral Limit Theorem.\u003c\/p\u003e \u003cp\u003e3. Student's \u003ci\u003et\u003c\/i\u003e Distribution.\u003c\/p\u003e \u003cp\u003e4. Exercises.\u003c\/p\u003e \u003cp\u003e5. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Confidence Intervals and Sample Size\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Confidence Intervals for the Mean and Sample Size \u003ci\u003en\u003c\/i\u003e when Is Known.\u003c\/p\u003e \u003cp\u003e3. Confidence Intervals for the Mean when is Not Known.\u003c\/p\u003e \u003cp\u003e4. Confidence Intervals for the Binomial Parameter p.\u003c\/p\u003e \u003cp\u003e5. Confidence Intervals for the Variances and Standard Deviations.\u003c\/p\u003e \u003cp\u003e6. Exercises.\u003c\/p\u003e \u003cp\u003e7. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Hypothesis Testing: One Sample Case\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Concept of Hypothesis Testing.\u003c\/p\u003e \u003cp\u003e3. One-tailed \u003ci\u003eZ\u003c\/i\u003e Test of the Mean of a Normal Distribution When Is Known.\u003c\/p\u003e \u003cp\u003e4. Two-tailed \u003ci\u003eZ\u003c\/i\u003e Test of the Mean of a Normal Distribution When Is Known.\u003c\/p\u003e \u003cp\u003e5. t Test of the Mean of a Normal Distribution.\u003c\/p\u003e \u003cp\u003e6. The Power of a Test and Sample Size.\u003c\/p\u003e \u003cp\u003e7. One-Sample Test for a Binomial Proportion.\u003c\/p\u003e \u003cp\u003e8. One-Sample Test for the Variance of a Normal Distribution.\u003c\/p\u003e \u003cp\u003e9. Exercises.\u003c\/p\u003e \u003cp\u003e10. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Hypothesis Testing: Two-Sample Case\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Two Sample \u003ci\u003eZ\u003c\/i\u003e Test for Comparing Two Means.\u003c\/p\u003e \u003cp\u003e3. Two Sample \u003ci\u003et\u003c\/i\u003e Test for Comparing Two Means with Equal Variances.\u003c\/p\u003e \u003cp\u003e4. Two Sample \u003ci\u003et\u003c\/i\u003e Test for Comparing Two Means with Unequal Variances.\u003c\/p\u003e \u003cp\u003e5. The Paired \u003ci\u003et\u003c\/i\u003e Test.\u003c\/p\u003e \u003cp\u003e6. \u003ci\u003eZ\u003c\/i\u003e Test for Comparing Two Binomial Proportions.\u003c\/p\u003e \u003cp\u003e7. The Sample Size and Power of a Two Sample Test.\u003c\/p\u003e \u003cp\u003eEstimation of a Sample Size.\u003c\/p\u003e \u003cp\u003eThe Power of a Two Sample Test.\u003c\/p\u003e \u003cp\u003e8. The \u003ci\u003eF\u003c\/i\u003e Test for the Equality of Two Variances.\u003c\/p\u003e \u003cp\u003e9. Exercises.\u003c\/p\u003e \u003cp\u003e10. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. Categorical Data Analysis\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. 2 x 2 Contingency Table.\u003c\/p\u003e \u003cp\u003e3. r x c Contingency Table.\u003c\/p\u003e \u003cp\u003e4. The Cochran-Mantel-Haenszel Test.\u003c\/p\u003e \u003cp\u003e5. The McNemar Test.\u003c\/p\u003e \u003cp\u003e6. The Kappa Statistic.\u003c\/p\u003e \u003cp\u003e7. Goodness of Fit Test.\u003c\/p\u003e \u003cp\u003e8. Exercises.\u003c\/p\u003e \u003cp\u003e9. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Regression Analysis and Correlation\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Simple Linear Regression.\u003c\/p\u003e \u003cp\u003eDescription of Regression Model.\u003c\/p\u003e \u003cp\u003eEstimation of Regression Function.\u003c\/p\u003e \u003cp\u003eAptness of a Model.\u003c\/p\u003e \u003cp\u003e3. Correlation Coefficient.\u003c\/p\u003e \u003cp\u003eSignificance of Correlation Coefficient.\u003c\/p\u003e \u003cp\u003e4. Coefficient of Determination.\u003c\/p\u003e \u003cp\u003e5. Multiple Regression.\u003c\/p\u003e \u003cp\u003e6. Logistic Regression.\u003c\/p\u003e \u003cp\u003eThe Logistic Regression Model.\u003c\/p\u003e \u003cp\u003eFitting the Logistic Regression Model.\u003c\/p\u003e \u003cp\u003e7. Multiple Logistic Regression Model.\u003c\/p\u003e \u003cp\u003e8. Exercises.\u003c\/p\u003e \u003cp\u003e9. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12. One-Way Analysis of Variance\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Factors and Factor Levels.\u003c\/p\u003e \u003cp\u003e3. Statement of the Problem and Model Assumptions.\u003c\/p\u003e \u003cp\u003e4. Basic Concepts in ANOVA.\u003c\/p\u003e \u003cp\u003e5. \u003ci\u003eF-\u003c\/i\u003etest for Comparison of k Population Means.\u003c\/p\u003e \u003cp\u003e6. Multiple Comparisons Procedures.\u003c\/p\u003e \u003cp\u003eLeast Significant Difference Method.\u003c\/p\u003e \u003cp\u003eBonferroni Approach.\u003c\/p\u003e \u003cp\u003eScheffe's Method.\u003c\/p\u003e \u003cp\u003eTukey's Procedure.\u003c\/p\u003e \u003cp\u003e7. One-way ANOVA Random Effects Model.\u003c\/p\u003e \u003cp\u003e8. Test for Equality of k Variances.\u003c\/p\u003e \u003cp\u003eBartlett's Test.\u003c\/p\u003e \u003cp\u003eHartley's Test.\u003c\/p\u003e \u003cp\u003e9. Exercises.\u003c\/p\u003e \u003cp\u003e10. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13. Two-Way Analysis of Variance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. General Model.\u003c\/p\u003e \u003cp\u003e3. Sum of Squares and Degrees of Freedom.\u003c\/p\u003e \u003cp\u003e4. \u003ci\u003eF\u003c\/i\u003e Test.\u003c\/p\u003e \u003cp\u003e5. Exercises.\u003c\/p\u003e \u003cp\u003e6. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14. Non-Parametric Statistics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. The Sign Test.\u003c\/p\u003e \u003cp\u003e3. The Wilcoxon Rank Sum Test.\u003c\/p\u003e \u003cp\u003e4. The Wilcoxon Signed Rank Test.\u003c\/p\u003e \u003cp\u003e5. The Median Test.\u003c\/p\u003e \u003cp\u003e6. The Kruskal-Wallis Test.\u003c\/p\u003e \u003cp\u003e7. The Friedman Test.\u003c\/p\u003e \u003cp\u003e8. The Permutation Test.\u003c\/p\u003e \u003cp\u003e9. The Cochran Test.\u003c\/p\u003e \u003cp\u003e10. The Squared Rank Test For Variances.\u003c\/p\u003e \u003cp\u003e11. Spearman's Rank Correlation Coefficient.\u003c\/p\u003e \u003cp\u003e12. Exercises.\u003c\/p\u003e \u003cp\u003e13. References.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15. Survival Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Person-Time Method and Mortality Rate.\u003c\/p\u003e \u003cp\u003e3. Life Table Analysis.\u003c\/p\u003e \u003cp\u003e4. Hazard Function.\u003c\/p\u003e \u003cp\u003e5. Kaplan-Meier Product Limit Estimator.\u003c\/p\u003e \u003cp\u003e6. Comparing Survival Functions.\u003c\/p\u003e \u003cp\u003eGehan's Generalized Wilcoxon Test.\u003c\/p\u003e \u003cp\u003eThe Logrank Test.\u003c\/p\u003e \u003cp\u003eThe Mantel and Haenszel Test.\u003c\/p\u003e \u003cp\u003e7. Piecewise Exponential Estimator (PEXE).\u003c\/p\u003e \u003cp\u003eSmall Sample Illustration.\u003c\/p\u003e \u003cp\u003eGeneral Description of PEXE.\u003c\/p\u003e \u003cp\u003eAn Example.\u003c\/p\u003e \u003cp\u003eProperties of PEXE and Comparisons with Kaplan-Meier Estimator.\u003c\/p\u003e \u003cp\u003e8. References.\u003c\/p\u003e \u003cp\u003eAppendix.\u003c\/p\u003e \u003cp\u003eSolutions to Selected Exercises.\u003c\/p\u003e \u003cp\u003eTable A. Table of Random Numbers.\u003c\/p\u003e \u003cp\u003eTable B. Table of Binomial Probabilities.\u003c\/p\u003e \u003cp\u003eTable C. Table of Poisson Probabilities.\u003c\/p\u003e \u003cp\u003eTable D. Standard Normal Probabilities.\u003c\/p\u003e \u003cp\u003eTable E. Percentiles of the \u003ci\u003et\u003c\/i\u003e Distribution.\u003c\/p\u003e \u003cp\u003eTable F. Percentiles of the Distribution.\u003c\/p\u003e \u003cp\u003eTable G. Percentiles of the \u003ci\u003eF\u003c\/i\u003e Distribution\u003c\/p\u003e \"This is a book of massive erudition, of great value to the career statistician but not much help to those of us who rank statistics lower in our priorities.\" (Primary Dental Care and Team in Practice, 1 April 2011) \u003cb\u003eJay S. Kim,\u003c\/b\u003e Ph.D., is Professor of Biostatistics at Loma Linda University, CA. A specialist in this area, he has been teaching biostatistics since 1977 to students in public health, medical school, and dental school. Currently his primary responsibility is teaching biostatistics courses to dental hygiene students, pre-doctoral dental students and students in advanced dental education. He also collaborates with the faculty and students on a variety of research projects.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eRonald J. Dailey,\u003c\/b\u003e Ph.D., M.A., is the Associate Dean for Academic Affairs at Loma Linda University School of Dentistry. He has taught dental, dental hygiene and college students for the past 32 years. \u003ci\u003eBiostatistics for Oral Healthcare\u003c\/i\u003e offers students, practitioners and instructors alike a comprehensive guide to mastering biostatistics and their application to oral healthcare. Drawing on situations and methods from dentistry and oral healthcare, this book provides a thorough treatment of statistical concepts in order to promote in-depth and correct comprehension, supported throughout by technical discussion and a multitude of practical examples.","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47988842496229,"sku":"NP9780813828183","price":209.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780813828183.jpg?v=1761781738","url":"https:\/\/k12savings.com\/products\/biostatistics-for-oral-healthcare-isbn-9780813828183","provider":"K12savings","version":"1.0","type":"link"}