Biostatistics Manual for Health Research
A Practical Guide to Data Analysis
- 1st Edition - April 19, 2023
- Imprint: Academic Press
- Authors: Nafis Faizi, Yasir Alvi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 5 5 0 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 5 5 1 - 9
**Selected for Doody’s Core Titles® 2024 in Biostatistics**Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to ap… Read more
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Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.
Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.
- Applies a practical and solution centric approach to support readers to successfully manage their research data
- Explains step-by-step the different biostatistical tests, including screenshots from the most common softwares used currently for easy consult
- Summarizes the content of each chapter in concise text boxes to help readers find the right information when needed
Graduate students and researchers in biostatistics and medical/biomedical fields; Medical doctors
- Cover image
- Title page
- Table of Contents
- Copyright
- About the authors
- Preface
- List of abbreviations
- Chapter 1. Introduction to biostatistics
- 1. Background
- 2. What is biostatistics?
- 3. Statistical inference
- 4. Aim of the book
- 5. Two foundational concepts
- 6. Data and variables
- 7. Measures of central tendency and dispersion
- Chapter 2. Data management and SPSS environment
- 1. Data management
- 2. Data documentation sheet
- 3. Data capture and cleaning
- 4. SPSS environment
- 5. Data entry and importing in SPSS
- 6. Data transformation in SPSS
- Chapter 3. Statistical tests of significance
- 1. Hypothesis testing
- 2. Statistical tests of significance
- 3. Choosing a statistical test
- 4. Levels of significance and P-values
- 5. Errors in health research
- 6. P-values and effect sizes
- Chapter 4. Parametric tests
- 1. Continuous outcomes
- 2. Parametric tests
- 3. t-Tests: independent and paired
- 4. Independent t-test
- 5. Paired t-test
- 6. Parametric tests comparison with >2 groups: analysis of variance
- 7. Repeated-measures ANOVA
- 8. ANOVA, ANCOVA, MANOVA, and MANCOVA
- Chapter 5. Nonparametric tests
- 1. Nonparametric methods
- 2. Mann–Whitney U test
- 3. Wilcoxon signed-rank test
- 4. Nonparametric tests comparison with >2 groups: Kruskal–Wallis test
- 5. Nonparametric tests comparison with >2 related or repeated measures: Friedman test
- Chapter 6. Correlation
- 1. Continuous outcome and exposure
- 2. Correlation versus association
- 3. Pearson's correlation test
- 4. Spearman's correlation test
- 5. Correlation versus concordance
- 6. Agreement: Kendall's τ, Kendall's W, and kappa
- 7. Measuring concordance/agreement
- Chapter 7. Categorical variables
- 1. Categorical variables
- 2. Independent exposure variables: chi-square test
- 3. Alternatives to chi-square test
- 4. Two related exposure variables: McNemar's test
- 5. More than two related exposure variables: Cochran's Q test
- 6. Analyzing the summary data
- Chapter 8. Validity
- 1. Validity
- 2. Diagnostic test evaluation
- 3. Diagnostic test evaluation: calculations
- 4. Combining screening tests
- 5. Continuous data and ROC curves
- Chapter 9. Reliability and agreement
- 1. Reliability and agreement
- 2. Reliability methods for categorical variables
- 3. Cohen's kappa test
- 4. Weighted Cohen's kappa test
- 5. Fleiss kappa test
- 6. Agreement and concordance: which test to use?
- 7. Reliability for continuous variables: intraclass correlation
- 8. Cronbach's alpha
- Chapter 10. Survival analysis
- 1. Time to event as a variable
- 2. Survival analysis
- 3. Kaplan–Meier survival method
- 4. Cox regression survival method
- Chapter 11. Regression and multivariable analysis
- 1. Regression and multivariable analysis
- 2. Regression analysis
- 3. Linear regression
- 4. Simple linear regression analysis
- 5. Multiple linear regression analysis
- 6. Logistic regression analysis
- 7. Multiple logistic regression analysis
- 8. Multivariable analysis
- Chapter 12. Annexures
- 1. Annexure 1: Choice of statistical tests (Fig. 12.1).
- 2. Annexure 2: Notes on data used in the book
- 3. Annexure 3: Guidelines for statistical reporting in journals: SAMPL guidelines
- 4. Annexure 4: Standards for reporting of diagnostic accuracy: STARD guidelines
- 5. Annexure 5: Guidelines for reporting reliability and agreement studies: GRRAS guidelines
- 6. Annexure 6: Proposed agenda for biostatistics for a health research workshop
- Index
- Edition: 1
- Published: April 19, 2023
- Imprint: Academic Press
- No. of pages: 290
- Language: English
- Paperback ISBN: 9780443185502
- eBook ISBN: 9780443185519
NF
Nafis Faizi
Dr. Nafis Faizi is an Assistant Professor at JN Medical College for the past 7 years. He is also a trainer for Epidemiological Research Unit and a member of Statistics Without Borders and Global Health Training Network. For the past 9 years, he has been conducting regular workshops and training in biostatistics, data analysis and research writing. His primary qualifications are MBBS and MD in Community Medicine from AMU, Aligarh followed by master’s in public health (MPH) from UK. He is also a faculty for International People’s Health University and teaches epidemiology at People’s Open Access Intitiative, UK.
Affiliations and expertise
Assistant Professor, JN Medical College, Aligarh, IndiaYA
Yasir Alvi
Dr. Yasir Alvi is an Assistant Professor at Hamdard Institute of Medical Sciences and Research (HIMSR), for two years. Before this, he was a senior resident in the Department of Community Medicine, JN Medical College, AMU, Aligarh for three years. He has been a facilitator of many research training initiatives conducted by Epidemiological Research Unit in AMU and is an alumnus of International People’s Health University. His primary qualifications are MBBS and MD in Community Medicine from AMU, Aligarh.
Affiliations and expertise
Assistant Professor, Hamdard Institute of Medical Sciences and Research (HIMSR), New Delhi, IndiaRead Biostatistics Manual for Health Research on ScienceDirect