Subject 
Medical statistics.


Medicine  Research  Statistical methods.


Research Design.


Statistics as Topic  methods.


Biometry  methods.


Biomedical Research  methods.


Health Services Research  methods.

Alt Name 
Rowe, Philip.


Ohio Library and Information Network.

Description 
1 online resource (237 pages) 
Contents 
Chapter 1. Introduction  Chapter 2. Data types  Chapter 3. Presenting and summarizing data  Chapter 4. Choosing a statistical test  Chapter 5. Multiple testing  Chapter 6. Common issues and pitfalls  Chapter 7. Contingency chisquare test  Chapter 8. Independent samples (twosample) ttest  Chapter 9. MannWhitney test  Chapter 10. Oneway analysis of variance (ANOVA); Including Dunnett's and Tukey's follow up tests  Chapter 11. KruskalWallis  Chapter 12. McNemar's test  Chapter 13. Paired ttest  Chapter 14. Wilcoxon signed rank test  Chapter 15. Repeated mesures analysis of variance  Chapter 16. Friedman test  Chapter 17. Pearson correlation  Chapter 18. Spearman correlation  Chapter 19. Logistic regression  Chapter 20. Cronbach's alpha. 

Cover; Title Page; Copyright; Contents; About the Companion Website; Chapter 1 Introduction; 1.1 At Whom is This Book Aimed?; 1.2 At What Scale of Project is This Book Aimed?; 1.3 Why Might This Book be Useful for You?; 1.4 How to Use This Book; 1.5 Computer Based Statistics Packages; 1.6 Relevant Videos etc.; Chapter 2 Data Types; 2.1 What Types of Data are There and Why Does it Matter?; 2.2 Continuous Measured Data; 2.2.1 Continuous Measured Data  Normal and NonNormal Distribution; 2.2.2 Transforming NonNormal Data; 2.3 Ordinal Data; 2.4 Categorical Data; 2.5 Ambiguous Cases. 

2.5.1 A Continuously Varying Measure that has been Divided into a Small Number of Ranges2.5.2 Composite Scores with a Wide Range of Possible Values; 2.6 Relevant Videos etc.; Chapter 3 Presenting and Summarizing Data; 3.1 Continuous Measured Data; 3.1.1 Normally Distributed Data  Using the Mean and Standard Deviation; 3.1.2 Data With Outliers, e.g. Skewed Data  Using Quartiles and the Median; 3.1.3 Polymodal Data  Using the Modes; 3.2 Ordinal Data; 3.2.1 Ordinal Scales With a Narrow Range of Possible Values; 3.2.2 Ordinal Scales With a Wide Range of Possible Values. 

3.2.3 Dividing an Ordinal Scale Into a Small Number of Ranges (e.g. Satisfactory/Unsatisfactory or Poor/Acceptable/Good)3.2.4 Summary for Ordinal Data; 3.3 Categorical Data; 3.4 Relevant Videos etc.; Appendix 1: An Example of the Insensitivity of the Median When Used to Describe Data from an Ordinal Scale With a Narrow Range of Possible Values; Chapter 4 Choosing a Statistical Test; 4.1 Identify the Factor and Outcome; 4.2 Identify the Type of Data Used to Record the Relevant Factor; 4.3 Statistical Methods Where the Factor is Categorical. 

4.3.1 Identify the Type of Data Used to Record the Outcome4.3.2 Is Continuous Measured Outcome Data Normally Distributed or Can It Be Transformed to Normality?; 4.3.3 Identify Whether Your Sets of Outcome Data Are Related or Independent; 4.3.4 For the Factor, How Many Levels Are Being Studied?; 4.3.5 Determine the Appropriate Statistical Method for Studies with a Categorical Factor; 4.4 Correlation and Regression with a Measured Factor; 4.4.1 What Type of Data Was Used to Record Your Factor and Outcome? 

4.4.2 When Both the Factor and the Outcome Consist of Continuous Measured Values, Select Between Pearson and Spearman Correlation4.5 Relevant Additional Material; Chapter 5 Multiple Testing; 5.1 What Is Multiple Testing and Why Does It Matter?; 5.2 What Can We Do to Avoid an Excessive Risk of False Positives?; 5.2.1 Use of Omnibus Tests; 5.2.2 Distinguishing Between Primary and Secondary/Exploratory Analyses; 5.2.3 Bonferroni Correction; Chapter 6 Common Issues and Pitfalls; 6.1 Determining Equality of Standard Deviations; 6.2 How Do I Know, in Advance, How Large My SD Will Be? 
Summary 
"This book provides an outline with methodological steps of how to use statistics to analyze your research data. The book begins with a general introduction, which discusses what you should be trying to achieve with your statistical analysis. This involves describing the subjects you investigated and their outcomes, determining whether there is statistically significant evidence of differences in outcomes between groups of subjects, quantitatively describing effect sizes, and also determining whether any changes are large enough to be of clinical significance. Next, the authors cover data types and choosing statistical tests. This includes identifying the factor and outcome, and also identifying the type of data used to record the outcome. Readers are then introduced to multiple testing, the Chisquare test, and independent samples and the twosample ttest. The ManWhitney test is discussed, as well as the Oneway ANOVA. Readers are taught how to Carrying out the KruskalWallis test and the McNemar's test. The Paired ttest is covered, as well as how to carry out the Wilcoxon paired samples test. Readers are shown how to carry out the repeated measures ANOVA and the Friedman test. This includes discussion of merits of change in median, change in proportions in categories, and changes in high/low categories. The book concludes with a discussion on correlation and regression methods, and a detailed analysis on Cronbach's alpha" Provided by publisher. 
Note 
6.3 OneSided Versus TwoSided Testing. 
Access 
Available to OhioLINK libraries. 
Note 
Print version record. 
ISBN 
9781119383598 (electronic bk.) 

1119383595 (electronic bk.) 

9781119383628 (electronic bk. ; oBook) 

1119383625 (electronic bk. ; oBook) 
OCLC # 
1031963711 
Additional Format 
Print version: Mackridge, Adam. A Practical Approach to Using Statistics in Health Research : From Planning to Reporting. Newark : John Wiley & Sons, Incorporated, �2018 9781119383574. 
