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Friday, February 27, 2015

Biostatistics For Dummies – July 29 2013


Biostatistics For Dummies Paperback – July 29, 2013

Author: Pezzullo | Language: English | ISBN: 1118553985 | Format: PDF, EPUB

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  • Book Details
  • Table of Contents
  • Reviews
Biostatistics For Dummies – July 29, 2013
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From the Back Cover

Learn to:

  • Understand key statistical concepts as they relate to biological sciences
  • Interpret biological and statistical data in any setting
  • Score your highest in your biostatistics course

Baffled by biostatistics?

Biostatisticians 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? Covering the most relevant topics you'll encounter in a biostatistics course, Biostatistics For Dummies gives you plain-English explanations of important concepts and plenty of examples.

  • Back to the basics — get up to speed on math and statistics concepts, find advice on selecting statistical software, and get an overview of clinical research
  • The deal with data — find out how to collect data properly, summarize it concisely, display it in tables and graphs, and describe its qualities
  • Size it up — grasp the most common statistical techniques for comparing groups: t tests, ANOVAs, chi-square tests, and Fisher Exact tests
  • Let's regress — learn how to test for and quantify the relationship between two or more variables, from a simple straight-line regression to multiple, logistic, nonlinear, and other kinds of regression
  • Survive and thrive — see how to calculate survival curves, test for a difference in survival between two or more groups of subjects, and apply the methods of regression analysis to survival data

Open the book and find:

  • Basic math and statistical formulas, concepts, and techniques you need to know
  • The big picture of clinical research
  • How to summarize and graph data
  • The scoop on accuracy, precision, standard errors, and confidence intervals
  • Ways to compare groups
  • Common distribution functions
  • Simple rules for sample-size calculations

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.


Download latest books on mediafire and other links compilation Biostatistics For Dummies – July 29, 2013
  • Paperback: 408 pages
  • Publisher: For Dummies; 1 edition (July 29, 2013)
  • Language: English
  • ISBN-10: 1118553985
  • ISBN-13: 978-1118553985
  • Product Dimensions: 9.2 x 7.4 x 0.9 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Amazon Best Sellers Rank: #20,841 in Books (See Top 100 in Books)
    • #5 in Books > Medical Books > Basic Sciences > Biostatistics
Introduction 1

Part I: Beginning with Biostatistics Basics 7

Chapter 1: Biostatistics 101 9

Chapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions 17

Chapter 3: Getting Statistical: A Short Review of Basic Statistics 31

Chapter 4: Counting on Statistical Software 51

Chapter 5: Conducting Clinical Research 61

Chapter 6: Looking at Clinical Trials and Drug Development 77

Part II: Getting Down and Dirty with Data 91

Chapter 7: Getting Your Data into the Computer 93

Chapter 8: Summarizing and Graphing Your Data 103

Chapter 9: Aiming for Accuracy and Precision 121

Chapter 10: Having Confidence in Your Results 133

Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula 143

Part III: Comparing Groups 153

Chapter 12: Comparing Average Values between Groups 155

Chapter 13: Comparing Proportions and Analyzing Cross-Tabulations 173

Chapter 14: Taking a Closer Look at Fourfold Tables 189

Chapter 15: Analyzing Incidence and Prevalence Rates in Epidemiologic Data 203

Chapter 16: Feeling Noninferior (Or Equivalent) 211

Part IV: Looking for Relationships with Correlation and Regression 219

Chapter 17: Introducing Correlation and Regression 221

Chapter 18: Getting Straight Talk on Straight-Line Regression 233

Chapter 19: More of a Good Thing: Multiple Regression 251

Chapter 20: A Yes-or-No Proposition: Logistic Regression 267

Chapter 21: Other Useful Kinds of Regression 291

Part V: Analyzing Survival Data 311

Chapter 22: Summarizing and Graphing Survival Data 313

Chapter 23: Comparing Survival Times 331

Chapter 24: Survival Regression 339

Part VI: The Part of Tens 357

Chapter 25: Ten Distributions Worth Knowing 359

Chapter 26: Ten Easy Ways to Estimate How Many Subjects You Need 369

Index 375

I have been teaching biostatistics for more than a dozen years and I am always looking for a book that is readable, thoughtful and not too technical for a math phobic audience. This book does very well on all three criteria and will now be on my short list with Biostatistics: The Bare Essentials, 3e and Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. The prose is clear and the for dummies margin icons for important/dangerous/etc topics really helps to make this an easy and fast read. The book is not too shallow in the topics that are covered. I was not pleased when I saw Bayesian statistics were missing from the index but those ideas are mentioned as web bonus material. There is a bit of mathematical notation early on but readers who truly hate it will be able to read around it without loosing the gist.

The one real shortcoming of the book is the lack of a cohesive introduction to any statistical package. All the major packages (SAS, R, SPSS, etc) are introduced and many of the less expensive options (including web resources) are mentioned. The coverage of the packages are balanced (but the comments on SAS are not entirely true). The book would be much stronger with a web compendium that explains how to do all the common analyses in the common packages.

The book does an excellent job of encouraging people to think about data, as opposed to just doing math.
BIOSTATISTICS FOR DUMMIES is a 390 page book on biostatistics where the emphasis is on clinical trials. From my own experience as a medical writer, I know that Clinical Study Protocols, Clinical Study Reports, Investigators Brochures, and so on, make frequent use of statistical concepts and formulas such as, alpha value, type I error, type II error, Kaplan-Meier plots, Z statistic, t statistic, P value, confidence interval, standard deviation, and others. Most of these formulas are described in this book. This book takes care to explain concepts that might be overlooked in other statistics textbooks, such as the fact that the determination of a P value, "is arbitrary, it depends on how much of a risk youre willing to take of being fooled by random fluctuations, that is, of making a Type I error. Over the years, the value of 0.05 has become accepted as a reasonable criterion for declaring significance" (page 43). This type of description provides a good background for the medical writer. For example, this morning I was reading a Clinical Study Protocol, which had been submitted with a SPA, where the P value for interim analysis was 0.002 and where the P value for analysis when the clinical trial was completed was 0.04. The book fails to provide guidance on how to solve any formulas in biostatistics. The book fails to include any problem sets, and it certainly does not include any answers. This book will not enable any novice to understand any statistical formulas. On the other hand, if you already understand biostatistics and know how to work the formulas by hand, then this book will be useful for tying all of the formulas together, and for providing a "big picture" of biostatistics. The book takes the same tactic as that taken by actor Robert Preston in THE MUSIC MAN.

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