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Biostatistics for dummies /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2013.
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| Colección: | --For dummies.
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- About the Author; Contents at a Glance; Table of Contents; Introduction; About This Book; Conventions Used in This Book; What You're Not to Read; Foolish Assumptions; How This Book Is Organized; Icons Used in This Book; Where to Go from Here; Part I: Beginning with Biostatistics Basics; Chapter 1: Biostatistics 101; Brushing Up on Math and Stats Basics; Doing Calculations with the Greatest of Ease; Concentrating on Clinical Research; Drawing Conclusions from Your Data; A Matter of Life and Death: Working with Survival Data; Figuring Out How Many Subjects You Need.
- Getting to Know Statistical DistributionsChapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions; Breaking Down the Basics of Mathematical Formulas; Focusing on Operations Found in Formulas; Counting on Collections of Numbers; Chapter 3: Getting Statistical: A Short Review of Basic Statistics; Taking a Chance on Probability; Some Random Thoughts about Randomness; Picking Samples from Populations; Introducing Statistical Inference; Homing In on Hypothesis Testing; Going Outside the Norm with Nonparametric Statistics; Chapter 4: Counting on Statistical Software.
- Desk Job: Personal Computer SoftwareOn the Go: Calculators and Mobile Devices; Gone Surfin': Web-Based Software; On Paper: Printed Calculators; Chapter 5: Conducting Clinical Research; Designing a Clinical Study; Carrying Out a Clinical Study; Analyzing Your Data; Chapter 6: Looking at Clinical Trials and Drug Development; Not Ready for Human Consumption: Doing Preclinical Studies; Testing on People during Clinical Trials to Check a Drug's Safety and Efficacy; Holding Other Kinds of Clinical Trials; Part II: Getting Down and Dirty with Data; Chapter 7: Getting Your Data into the Computer.
- Looking at Levels of MeasurementClassifying and Recording Different Kinds of Data; Checking Your Entered Data for Errors; Creating a File that Describes Your Data File; Chapter 8: Summarizing and Graphing Your Data; Summarizing and Graphing Categorical Data; Summarizing Numerical Data; Structuring Numerical Summaries into Descriptive Tables; Graphing Numerical Data; Chapter 9: Aiming for Accuracy and Precision; Beginning with the Basics of Accuracy and Precision; Improving Accuracy and Precision; Calculating Standard Errors for Different Sample Statistics.
- Chapter 10: Having Confidence in Your ResultsFeeling Confident about Confidence Interval Basics; Calculating Confidence Intervals; Relating Confidence Intervals and Significance Testing; Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula; Understanding the Concept of Error Propagation; Using Simple Error Propagation Formulas for Simple Expressions; Handling More Complicated Expressions; Part III: Comparing Groups; Chapter 12: Comparing Average Values between Groups; Knowing That Different Situations Need Different Tests; Trying the Tests Used for Comparing Averages.