Biostatistics Manual for Health Research

Biostatistics Manual for Health Research

A Practical Guide to Data Analysis

1st Edition - January 1, 2023

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  • Authors: Nafis Faizi, Yasir Alvi
  • Paperback ISBN: 9780443185502

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Description

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.

Key Features

  • 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

Readership

Graduate students and researchers in biostatistics and medical/biomedical fields; Medical doctors

Table of Contents

  • 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 tests
    Independent 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

Product details

  • No. of pages: 250
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: January 1, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780443185502

About the Authors

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, India

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

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