Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set - Hirsch, Robert P

Résumé :
Preface to Second Edition xv

About the Companion Website xvii

Part One Basic Concepts 1

1 Thinking About Chance 3

1.1 Properties of Probability 4

1.2 Combinations of Event 8

1.3 Bayes' Theorem 16

Chapter Summary 19

Exercises 20

2 Describing Distributions 25

2.1 Types of Data 26

2.2 Describing Distributions Graphically 27

2.3 Describing Distributions Mathematically 36

2.4 Taking Chance into Account 48

Chapter Summary 59

Exercises 62

3 Examining Samples 65

3.1 Nature of Samples 66

3.2 Estimation 67

3.3 Hypothesis Testing 82

3.3.1 Relationship Between Interval Estimation and Hypothesis Testing 89

Chapter Summary 91

Exercises 93

Part Two Univariable Analyses 97

4 Univariable Analysis of A Continuous Dependent Variable 101

4.1 Student's t-Distribution 103

4.2 Interval Estimation 106

4.3 Hypothesis Testing 109

Chapter Summary 113

Exercises 114

5 Univariable Analysis of An Ordinal Dependent Variable 119

5.1 Nonparametric Methods 120

5.2 Estimation 123

5.3 Wilcoxon Signed-Rank Test 124

5.4 Statistical Power of Nonparametric Tests 128

Chapter Summary 128

Exercises 129

6 Univariable Analysis of A Nominal Dependent Variable 133

6.1 Distribution of Nominal Data 134

6.2 Point Estimates 135

6.3 Sampling Distributions 142

6.4 Interval Estimation 149

6.5 Hypothesis Testing 151

Chapter Summary 155

Exercises 156

Part Three Bivariable Analyses 161

7 Bivariable Analysis of A Continuous Dependent Variable 163

7.1 Continuous Independent Variable 163

7.2 Ordinal Independent Variable 207

7.3 Nominal Independent Variable 207

Chapter Summary 218

Exercises 221

8 Bivariable Analysis of An Ordinal Dependent Variable 227

8.1 Ordinal Independent Variable 228

8.2 Nominal Independent Variable 236

Chapter Summary 241

Exercises 243

9 Bivariable Analysis of A Nominal Dependent Variable 245

9.1 Continuous Independent Variable 246

9.2 Nominal Independent Variable 258

Chapter Summary 286

Exercises 288

Part Four Multivariable Analyses 293

10 Multivariable Analysis of A Continuous Dependent Variable 295

10.1 Continuous Independent Variables 296

10.2 Nominal Independent Variables 319

10.3 Both Continuous and Nominal Independent Variables 340

Chapter Summary 355

Exercises 358

11 Multivariable Analysis of An Ordinal Dependent Variable 367

11.1 Nonparametric Anova 369

11.2 Posterior Testing 375

Chapter Summary 380

Exercises 381

12 Multivariable Analysis of A Nominal Dependent Variable 385

12.1 Continuous and/or Nominal Independent Variables 387

12.2 Nominal Independent Variables 401

Chapter Summary 424

Exercises 427

13 Testing Assumptions 433

13.1 Continuous Dependent Variables 436

13.2 Nominal Dependent Variables 507

13.3 Independent Variables 511

Chapter Summary 513

Exercises 516

Appendix A: Flowcharts 521

Appendix B: Statistical Tables 527

Appendix C: Standard Distributions 597

Appendix D: Excel Primer 601

Appendix E: R Primer 605

Appendix F: Answers To Odd Exercises 609

Index 611

Biographie:

Robert P. Hirsch, PhD, ?is 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.