Biostatistics For Dummies (2013)

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' u' X& L- Z" M0 Z; ^1 @Title: Biostatistics For Dummies       
Author(s): John C. Pezzullo
; o9 P, l3 [& o) v  L8 W4 W* qPublisher: Wiley
  u% l  k: z  ]7 HYear: 2013
& T" p4 _" h. e" fEdition: 1
7 n1 D+ o: M9 |% \6 x2 fLanguage: English       
Pages: 408
% _* O8 u6 Q1 [' Q3 n2 x0 V9 r* fISBN: 1118553985, 9781118553985
: N$ A( ~9 G, W& X& SSize: 8 MB (7886889 bytes)
Extension: pdf
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Description

, f) R: M5 ^3 M0 ?* _( qScore your highest in biostatistics
0 G' R+ d% g, n1 `1 ~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.
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• 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
  

+ j  k! r# r$ M8 C7 K9 y; gBiostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course.
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Table of Contents
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Introduction 1
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Part I: Beginning with Biostatistics Basics 7

Chapter 1: Biostatistics 101 9
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8 `/ R/ m$ x3 D" I: v) F* X8 ~Chapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions 17
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Chapter 3: Getting Statistical: A Short Review of Basic Statistics 31

! ]- u, _0 e4 d. Z: HChapter 4: Counting on Statistical Software 51

Chapter 5: Conducting Clinical Research 61
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2 u) }$ F3 w# M8 ]+ fChapter 6: Looking at Clinical Trials and Drug Development 77

Part II: Getting Down and Dirty with Data 91

! d2 F) z3 ]2 j  `1 RChapter 7: Getting Your Data into the Computer 93

Chapter 8: Summarizing and Graphing Your Data 103
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$ y7 x" ?" h. |& c8 V  `/ O' \Chapter 9: Aiming for Accuracy and Precision 121

+ `+ C# N; g& iChapter 10: Having Confidence in Your Results 133
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Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula 143
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Part III: Comparing Groups 153

Chapter 12: Comparing Average Values between Groups 155

Chapter 13: Comparing Proportions and Analyzing Cross-Tabulations 173
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. Q8 S; S( I* i2 w5 D: _Chapter 14: Taking a Closer Look at Fourfold Tables 189
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Chapter 15: Analyzing Incidence and Prevalence Rates in Epidemiologic Data 203
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4 S2 {) g. X5 S) C( BChapter 16: Feeling Noninferior (Or Equivalent) 211

& B$ m' h/ w2 gPart IV: Looking for Relationships with Correlation and Regression 219

Chapter 17: Introducing Correlation and Regression 221
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Chapter 18: Getting Straight Talk on Straight-Line Regression 233
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1 E$ f$ N9 }5 I& sChapter 19: More of a Good Thing: Multiple Regression 251

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

) B" k; j, v8 SChapter 21: Other Useful Kinds of Regression 291

Part V: Analyzing Survival Data 311
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Chapter 22: Summarizing and Graphing Survival Data 313
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3 t; y  h9 l& ]* m3 ^Chapter 23: Comparing Survival Times 331
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- M5 ?8 ]( R- p( ?Chapter 24: Survival Regression 339
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Part VI: The Part of Tens 357

. V  ~* ^6 e0 I* p) G: v  S0 q1 t) KChapter 25: Ten Distributions Worth Knowing 359
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Chapter 26: Ten Easy Ways to Estimate How Many Subjects You Need 369

Index 375

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