• Biostatistics for dummies
  • 點閱:29
  • 作者: by John Pezzullo
  • 出版社:John Wiley & Sons Inc.
  • 出版年:c2013
  • 集叢名:--For dummies
  • ISBN:9781118553985 ; 9781118553954
  • 格式:PDF

Score your highest in biostatistics
Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding. Biostatistics For Dummies is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material.
Biostatisticians—analysts of biological data—are charged with finding answers to some of the world's most pressing health questions: how safe or effective are drugs hitting the market today? What causes autism? What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? Biostatistics For Dummies examines these and other questions associated with the study of biostatistics.

Provides plain-English explanations of techniques and clinical examples to help
Serves as an excellent course supplement for those struggling with the complexities of the biostatistics
Tracks to a typical, introductory biostatistics course
Biostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course.

About the Author
John C. Pezzullo, PhD, has held faculty appointments in the departments of biomathematics and biostatistics, pharmacology, nursing, and internal medicine at Georgetown University. He is semi-retired and continues to teach biostatistics and clinical trial design online to Georgetown University students.

  • Introduction(第1頁)
    • About This Book(第1頁)
    • Conventions Used in This Book(第2頁)
    • What You’re Not to Read(第2頁)
    • Foolish Assumptions(第3頁)
    • How This Book Is Organized(第3頁)
    • Icons Used in This Book(第5頁)
    • Where to Go from Here(第6頁)
  • Part I: Beginning with Biostatistics Basics(第7頁)
    • Chapter 1: Biostatistics 101(第9頁)
    • Chapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions(第17頁)
    • Chapter 3: Getting Statistical: A Short Review of Basic Statistics(第31頁)
    • Chapter 4: Counting on Statistical Software(第51頁)
    • Chapter 5: Conducting Clinical Research(第61頁)
    • Chapter 6: Looking at Clinical Trials and Drug Development(第77頁)
  • Part II: Getting Down and Dirty with Data(第91頁)
    • Chapter 7: Getting Your Data into the Computer(第93頁)
    • Chapter 8: Summarizing and Graphing Your Data(第103頁)
    • Chapter 9: Aiming for Accuracy and Precision(第121頁)
    • Chapter 10: Having Confidence in Your Results(第133頁)
    • Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula(第143頁)
  • Part III: Comparing Groups(第153頁)
    • Chapter 12: Comparing Average Values between Groups(第155頁)
    • Chapter 13: Comparing Proportions and Analyzing Cross-Tabulations(第173頁)
    • Chapter 14: Taking a Closer Look at Fourfold Tables(第189頁)
    • Chapter 15: Analyzing Incidence and Prevalence Rates in Epidemiologic Data(第203頁)
    • Chapter 16: Feeling Noninferior (Or Equivalent)(第211頁)
  • Part IV: Looking for Relationships with Correlation and Regression(第219頁)
    • Chapter 17: Introducing Correlation and Regression(第221頁)
    • Chapter 18: Getting Straight Talk on Straight-Line Regression(第233頁)
    • Chapter 19: More of a Good Thing: Multiple Regression(第251頁)
    • Chapter 20: A Yes-or-No Proposition: Logistic Regression(第267頁)
    • Chapter 21: Other Useful Kinds of Regression(第291頁)
  • Part V: Analyzing Survival Data(第311頁)
    • Chapter 22: Summarizing and Graphing Survival Data(第313頁)
    • Chapter 23: Comparing Survival Times(第331頁)
    • Chapter 24: Survival Regression(第339頁)
  • Part VI: The Part of Tens(第357頁)
    • Chapter 25: Ten Distributions Worth Knowing(第359頁)
    • Chapter 26: Ten Easy Ways to Estimate How Many Subjects You Need(第369頁)
  • Index(第375頁)
紙本書 NT$ 736
NT$ 515

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