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Biostatistics Manual for Health Research
A Practical Guide to Data Analysis
1st Edition - April 19, 2023
Authors: Nafis Faizi, Yasir Alvi
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
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… 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.
- 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
1. Introduction to Biostatistics Background What is Biostatistics? Role of Biostatistics Aim of the book Two Amazing concepts Data and its types
2. Data Management and SPSS environment Data Documentation Sheet Introduction to SPSS Data entry and transfer Data transformation
3. Statistical tests of significance Steps of hypothesis testing Sampling errors Types of statistical tests Choosing a statistical test P-values and effect sizes
4. Parametric tests Continuous outcomes Parametric test assumptions T testsIndependent t tests: Paired t test ANOVA RMANOVA
5. Non-parametric tests Ordinal and Non-normal continuous outcomes Mann Whitney U test Wilcoxon Signed rank sum test Non-parametric test with more than two comparison groups Kruskal Wallis test Friedman test
6. Correlation Continuous outcomes Correlation versus Association Pearson’s correlation test Spearman’s correlation test Correlation versus Concordance Measuring agreement or replaceability: Kendall’s τ vs Kendall’s W versus κ test
7. Categorical Variables Introduction Independent exposure variables Chi Square test Measuring the Strength of association of categorical variables McNemar’s Chi Square test Cochran Q test
8. Testing for Validity Diagnostic Accuracy indices Categorical data validity Continuous data validity (ROC)
9. Testing for Reliability and Agreements Inter-rater/Methods agreements in categorical data Cohen’s Kappa test Fleiss Kappa test Inter-rater/Methods agreements in continuous data (Reliability tests) Cronbach’s Alpha
10. Survival Analysis Introduction Lead time bias Kaplan-Meier plot with log-rank Cox Regression
11. Multivariate Analysis Introduction Linear Regression Ordinal Regression Logistic Regression
12. Annexures Effect Size for statistical tests How to use this book effectively Proposed agenda for training Reporting style of statistical tests SAMPL guidelines
- No. of pages: 290
- Language: English
- Published: April 19, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780443185502
- eBook ISBN: 9780443185519
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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, India