{"product_id":"introduction-to-biostatistical-applications-in-health-research-with-microsoft-office-excel-set-isbn-9781119090045","title":"Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set","description":"This set includes \u003ca style=\"color: #2b89fe; text-decoration: none; height: 18px; font-family: Lato, sans-serif; font-size: 12px; line-height: 18px;\" title=\"Information about this product: Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel\" href=\"http:\/\/www.wiley.com\/WileyCDA\/WileyTitle\/productCd-1119089654.html\"\u003eIntroduction to Biostatistical Applications in Health Research with Microsoft Office Excel\u003c\/a\u003e and \u003ca style=\"color: #2b89fe; text-decoration: none; height: 18px; font-family: Lato, sans-serif; font-size: 12px; line-height: 18px;\" title=\"Information about this product: Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel\" href=\"http:\/\/www.wiley.com\/WileyCDA\/WileyTitle\/productCd-1119089867.html\"\u003eWorkbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel\u003c\/a\u003e.\u003cbr\u003e \u003cp\u003eFocusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.\u003c\/p\u003e \u003cp\u003eThe book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDetailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods \u003c\/li\u003e \u003cli\u003eNumerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications\u003c\/li\u003e \u003cli\u003eImplements Excel graphic representations throughout to help readers evaluate and analyze individual results \u003c\/li\u003e \u003cli\u003eAn appendix with basic information on how to use Excel \u003c\/li\u003e \u003cli\u003eA companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual\u003c\/li\u003e \u003c\/ul\u003e Preface to Second Edition xv \u003cp\u003eAbout the Companion Website xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart One Basic Concepts 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Thinking About Chance 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Properties of Probability 4\u003c\/p\u003e \u003cp\u003e1.2 Combinations of Event 8\u003c\/p\u003e \u003cp\u003e1.3 Bayes’ Theorem 16\u003c\/p\u003e \u003cp\u003eChapter Summary 19\u003c\/p\u003e \u003cp\u003eExercises 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Describing Distributions 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Types of Data 26\u003c\/p\u003e \u003cp\u003e2.2 Describing Distributions Graphically 27\u003c\/p\u003e \u003cp\u003e2.3 Describing Distributions Mathematically 36\u003c\/p\u003e \u003cp\u003e2.4 Taking Chance into Account 48\u003c\/p\u003e \u003cp\u003eChapter Summary 59\u003c\/p\u003e \u003cp\u003eExercises 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Examining Samples 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Nature of Samples 66\u003c\/p\u003e \u003cp\u003e3.2 Estimation 67\u003c\/p\u003e \u003cp\u003e3.3 Hypothesis Testing 82\u003c\/p\u003e \u003cp\u003e3.3.1 Relationship Between Interval Estimation and Hypothesis Testing 89\u003c\/p\u003e \u003cp\u003eChapter Summary 91\u003c\/p\u003e \u003cp\u003eExercises 93\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Two Univariable Analyses 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Univariable Analysis of A Continuous Dependent Variable 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Student’s t-Distribution 103\u003c\/p\u003e \u003cp\u003e4.2 Interval Estimation 106\u003c\/p\u003e \u003cp\u003e4.3 Hypothesis Testing 109\u003c\/p\u003e \u003cp\u003eChapter Summary 113\u003c\/p\u003e \u003cp\u003eExercises 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Univariable Analysis of An Ordinal Dependent Variable 119\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Nonparametric Methods 120\u003c\/p\u003e \u003cp\u003e5.2 Estimation 123\u003c\/p\u003e \u003cp\u003e5.3 Wilcoxon Signed-Rank Test 124\u003c\/p\u003e \u003cp\u003e5.4 Statistical Power of Nonparametric Tests 128\u003c\/p\u003e \u003cp\u003eChapter Summary 128\u003c\/p\u003e \u003cp\u003eExercises 129\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Univariable Analysis of A Nominal Dependent Variable 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Distribution of Nominal Data 134\u003c\/p\u003e \u003cp\u003e6.2 Point Estimates 135\u003c\/p\u003e \u003cp\u003e6.3 Sampling Distributions 142\u003c\/p\u003e \u003cp\u003e6.4 Interval Estimation 149\u003c\/p\u003e \u003cp\u003e6.5 Hypothesis Testing 151\u003c\/p\u003e \u003cp\u003eChapter Summary 155\u003c\/p\u003e \u003cp\u003eExercises 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Three Bivariable Analyses 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Bivariable Analysis of A Continuous Dependent Variable 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Continuous Independent Variable 163\u003c\/p\u003e \u003cp\u003e7.2 Ordinal Independent Variable 207\u003c\/p\u003e \u003cp\u003e7.3 Nominal Independent Variable 207\u003c\/p\u003e \u003cp\u003eChapter Summary 218\u003c\/p\u003e \u003cp\u003eExercises 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Bivariable Analysis of An Ordinal Dependent Variable 227\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Ordinal Independent Variable 228\u003c\/p\u003e \u003cp\u003e8.2 Nominal Independent Variable 236\u003c\/p\u003e \u003cp\u003eChapter Summary 241\u003c\/p\u003e \u003cp\u003eExercises 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Bivariable Analysis of A Nominal Dependent Variable 245\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Continuous Independent Variable 246\u003c\/p\u003e \u003cp\u003e9.2 Nominal Independent Variable 258\u003c\/p\u003e \u003cp\u003eChapter Summary 286\u003c\/p\u003e \u003cp\u003eExercises 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Four Multivariable Analyses 293\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Multivariable Analysis of A Continuous Dependent Variable 295\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Continuous Independent Variables 296\u003c\/p\u003e \u003cp\u003e10.2 Nominal Independent Variables 319\u003c\/p\u003e \u003cp\u003e10.3 Both Continuous and Nominal Independent Variables 340\u003c\/p\u003e \u003cp\u003eChapter Summary 355\u003c\/p\u003e \u003cp\u003eExercises 358\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Multivariable Analysis of An Ordinal Dependent Variable 367\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Nonparametric Anova 369\u003c\/p\u003e \u003cp\u003e11.2 Posterior Testing 375\u003c\/p\u003e \u003cp\u003eChapter Summary 380\u003c\/p\u003e \u003cp\u003eExercises 381\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Multivariable Analysis of A Nominal Dependent Variable 385\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Continuous and\/or Nominal Independent Variables 387\u003c\/p\u003e \u003cp\u003e12.2 Nominal Independent Variables 401\u003c\/p\u003e \u003cp\u003eChapter Summary 424\u003c\/p\u003e \u003cp\u003eExercises 427\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Testing Assumptions 433\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Continuous Dependent Variables 436\u003c\/p\u003e \u003cp\u003e13.2 Nominal Dependent Variables 507\u003c\/p\u003e \u003cp\u003e13.3 Independent Variables 511\u003c\/p\u003e \u003cp\u003eChapter Summary 513\u003c\/p\u003e \u003cp\u003eExercises 516\u003c\/p\u003e \u003cp\u003eAppendix A: Flowcharts 521\u003c\/p\u003e \u003cp\u003eAppendix B: Statistical Tables 527\u003c\/p\u003e \u003cp\u003eAppendix C: Standard Distributions 597\u003c\/p\u003e \u003cp\u003eAppendix D: Excel Primer 601\u003c\/p\u003e \u003cp\u003eAppendix E: R Primer 605\u003c\/p\u003e \u003cp\u003eAppendix F: Answers To Odd Exercises 609\u003c\/p\u003e \u003cp\u003eIndex 611\u003c\/p\u003e  \u003cp\u003e\u003cstrong\u003eRobert P. Hirsch, PhD,?\u003c\/strong\u003eis on the faculty for the Foundation for the Advanced Education in the Sciences within the Graduate School at the National Institutes of Health.?He is also a retired Professor of Epidemiology and Biostatistics and Adjunct Professor of Statistics at The George Washington University.?Dr. Hirsch is the author of numerous books in the field of health research and practice.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989456339173,"sku":"NP9781119090045","price":128.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119090045.jpg?v=1761784172","url":"https:\/\/k12savings.com\/es\/products\/introduction-to-biostatistical-applications-in-health-research-with-microsoft-office-excel-set-isbn-9781119090045","provider":"K12savings","version":"1.0","type":"link"}