This set includes Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel.
Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.
The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes:
Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods
Numerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications
Implements Excel graphic representations throughout to help readers evaluate and analyze individual results
An appendix with basic information on how to use Excel
A companion website with additional Excel files, data sets, and homework problems as well as an Instructor's Solutions Manual
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Broschur/Paperback
Fadenheftung
Gewebe-Einband
Maße
Höhe: 241 mm
Breite: 163 mm
Dicke: 38 mm
Gewicht
ISBN-13
978-1-119-09004-5 (9781119090045)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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
