Russell Kabir – författare

Quantitative literacy has become an indispensable skill for researchers, clinicians, policy analysts, and students across the health and social sciences. Yet a persistent gap exists between statistical textbooks that assume prior programming expertise and those that sacrifice rigour in the name of accessibility. This book is designed to occupy exactly that middle ground — rigorous enough for postgraduate study and professional research, yet accessible enough for anyone encountering R for the first time.Using R, the world's leading open-source environment for statistical computing, this book guides readers through a coherent analytical workflow from raw data to publication-ready results. Grounded in real and realistic public health datasets, every concept is illustrated with executable R code that readers can replicate, adapt, and build upon. The emphasis throughout is on practical application, reproducible analysis, and clear interpretation of results — not just on running procedures.Key features:Comprehensive coverage of data management using the tidyverse suite, including importing, cleaning, reshaping, and handling missing dataStep-by-step data visualisation using ggplot2, covering bar charts, violin plots, histograms, and combination plots for categorical and numerical variablesDescriptive statistics including measures of central tendency and dispersion, with visual interpretationHypothesis testing frameworks with decision flowcharts, covering matched and unmatched two-group and multi-group tests, including ANOVA and non-parametric alternativesSurvival analysis using Kaplan-Meier curves and Cox proportional hazards modelsRegression modelling including OLS linear regression, logistic regression, and probit regression with model evaluation techniquesComplete meta-analysis workflow across two dedicated chapters, including forest plots, subgroup analyses, meta-regiression, publication bias assessment, and Bayesian meta-analysisDimension reduction and unsupervised learning through Principal Component Analysis, k-means clustering, hierarchical clustering, and DBSCANWritten by an international team of public health researchers, biostatisticians, and data scientists, this book is an essential companion for MSc and PhD students, academic researchers, and public health practitioners who wish to develop confident, reproducible analytical skills in R.

Quantitative literacy has become an indispensable skill for researchers, clinicians, policy analysts, and students across the health and social sciences. Yet a persistent gap exists between statistical textbooks that assume prior programming expertise and those that sacrifice rigour in the name of accessibility. This book is designed to occupy exactly that middle ground — rigorous enough for postgraduate study and professional research, yet accessible enough for anyone encountering R for the first time.Using R, the world's leading open-source environment for statistical computing, this book guides readers through a coherent analytical workflow from raw data to publication-ready results. Grounded in real and realistic public health datasets, every concept is illustrated with executable R code that readers can replicate, adapt, and build upon. The emphasis throughout is on practical application, reproducible analysis, and clear interpretation of results — not just on running procedures.Key features:Comprehensive coverage of data management using the tidyverse suite, including importing, cleaning, reshaping, and handling missing dataStep-by-step data visualisation using ggplot2, covering bar charts, violin plots, histograms, and combination plots for categorical and numerical variablesDescriptive statistics including measures of central tendency and dispersion, with visual interpretationHypothesis testing frameworks with decision flowcharts, covering matched and unmatched two-group and multi-group tests, including ANOVA and non-parametric alternativesSurvival analysis using Kaplan-Meier curves and Cox proportional hazards modelsRegression modelling including OLS linear regression, logistic regression, and probit regression with model evaluation techniquesComplete meta-analysis workflow across two dedicated chapters, including forest plots, subgroup analyses, meta-regiression, publication bias assessment, and Bayesian meta-analysisDimension reduction and unsupervised learning through Principal Component Analysis, k-means clustering, hierarchical clustering, and DBSCANWritten by an international team of public health researchers, biostatisticians, and data scientists, this book is an essential companion for MSc and PhD students, academic researchers, and public health practitioners who wish to develop confident, reproducible analytical skills in R.

This book is an up-to-date, user-friendly textbook that aims to make epidemiological methods easy to learn and apply in public health research. Written in clear and accessible language, the book simplifies complex topics for easy understanding with examples, making it ideal for students, researchers, and public health professionals at all levels - from undergraduates to postgraduates and educators.The book has a unique combination of relevance, comprehensive coverage, and practical explanations to provide students with a thorough grounding in key epidemiological concepts and methods such as study designs, measures of association, evaluation of a diagnostic test, bias, confounding and interaction, and more. Easy to read and understand, with practical examples to explain key concepts. Provides essential epidemiological concepts and methods, making it most suitable for beginners, intermediate students, and practicing epidemiologists in medical and public health studies and research. Includes chapters that are often overlooked in other epidemiology books, such as measures of agreement, sample size calculation, sampling methods, and the application of AI in public health. Beyond standard topics, the book includes essential yet often overlooked chapters such as measures of agreement, sample size calculations, sampling methods, and the application of AI in public health, equipping readers with skills that are vital in modern research and practice.Easy to read, the book is an invaluable resource for beginners and intermediate students and practicing epidemiologists who play an active role in medical and public health studies and research.

This book is an up-to-date, user-friendly textbook that aims to make epidemiological methods easy to learn and apply in public health research. Written in clear and accessible language, the book simplifies complex topics for easy understanding with examples, making it ideal for students, researchers, and public health professionals at all levels - from undergraduates to postgraduates and educators.The book has a unique combination of relevance, comprehensive coverage, and practical explanations to provide students with a thorough grounding in key epidemiological concepts and methods such as study designs, measures of association, evaluation of a diagnostic test, bias, confounding and interaction, and more. Easy to read and understand, with practical examples to explain key concepts. Provides essential epidemiological concepts and methods, making it most suitable for beginners, intermediate students, and practicing epidemiologists in medical and public health studies and research. Includes chapters that are often overlooked in other epidemiology books, such as measures of agreement, sample size calculation, sampling methods, and the application of AI in public health. Beyond standard topics, the book includes essential yet often overlooked chapters such as measures of agreement, sample size calculations, sampling methods, and the application of AI in public health, equipping readers with skills that are vital in modern research and practice.Easy to read, the book is an invaluable resource for beginners and intermediate students and practicing epidemiologists who play an active role in medical and public health studies and research.

User-friendly textbook written with the aim of making easy learning of epidemiological methods and applying them in public health research.

This brief provides a thorough overview of the history and underlying motivations for consumer panic buying, evaluating psychological perspectives on this behavior on both an individual and societal level. The first volume of its kind to focus specifically on the topic of panic buying, the book situates its analysis within the context of the modern COVID-19 pandemic as well as in a broader psychology context. Chapters encompass a variety of interdisciplinary perspectives, incorporating insights from consumer psychology, marketing, sociology, and public health. Finally, contributors discuss the long-term implications of panic buying and potential prevention strategies. Panic Buying: Perspectives and Prevention will be a useful reference for researchers and students in consumer psychology, as well as those interested emergency preparedness, and supply chain management.First volume of its kind to focus specifically on the consumer behavior of panic buyingAnalyzes panic buying behavior in the context of the modern COVID-19 pandemic as well as within a broader psychology contextProvides a multidisciplinary analysis of panic buying, including perspectives from consumer psychology, social psychology, marketing, emergency preparedness, and public health.

This brief provides a thorough overview of the history and underlying motivations for consumer panic buying, evaluating psychological perspectives on this behavior on both an individual and societal level. The first volume of its kind to focus specifically on the topic of panic buying, the book situates its analysis within the context of the modern COVID-19 pandemic as well as in a broader psychology context. Chapters encompass a variety of interdisciplinary perspectives, incorporating insights from consumer psychology, marketing, sociology, and public health. Finally, contributors discuss the long-term implications of panic buying and potential prevention strategies. Panic Buying: Perspectives and Prevention will be a useful reference for researchers and students in consumer psychology, as well as those interested emergency preparedness, and supply chain management.

First volume of its kind to focus specifically on the consumer behavior of panic buyingAnalyzes panic buying behavior in the context of the modern COVID-19 pandemic as well as within a broader psychology contextProvides a multidisciplinary analysis of panic buying, including perspectives from consumer psychology, social psychology, marketing, emergency preparedness, and public health.

Panic buying is a common response during crises; however, to date it has been a significantly under-researched area. Recent evidence suggests that an environmental stimulus, such as the COVID-19 pandemic, war, earthquakes, flooding, public health emergencies (SARS, MARS) can trigger this phenomenon. As an environmental crisis takes its toll, the understanding of panic buying becomes overlooked. Nevertheless, panic buying causes series of events separate from these primary events. Understanding the management of emergencies and disasters should be an integral part of dealing with panic buying since every major environmental crisis has the potential to initiate panic buying behaviour in the general public. This book will analyse episodes of panic buying and major environmental crisis focusing on specific prevention strategies. This book is the first of its kind of approach to join up the management of panic buying during a public health emergency.

Panic buying is a common response during crises; however, to date it has been a significantly under-researched area. Recent evidence suggests that an environmental stimulus, such as the COVID-19 pandemic, war, earthquakes, flooding, public health emergencies (SARS, MARS) can trigger this phenomenon. As an environmental crisis takes its toll, the understanding of panic buying becomes overlooked. Nevertheless, panic buying causes series of events separate from these primary events. Understanding the management of emergencies and disasters should be an integral part of dealing with panic buying since every major environmental crisis has the potential to initiate panic buying behaviour in the general public. This book will analyse episodes of panic buying and major environmental crisis focusing on specific prevention strategies. This book is the first of its kind of approach to join up the management of panic buying during a public health emergency.

Panic buying is a common response during crises; however, to date it has been a significantly under-researched area. Recent evidence suggests that an environmental stimulus, such as the COVID-19 pandemic, war, earthquakes, flooding, public health emergencies (SARS, MARS) can trigger this phenomenon. As an environmental crisis takes its toll, the understanding of panic buying becomes overlooked. Nevertheless, panic buying causes series of events separate from these primary events. Understanding the management of emergencies and disasters should be an integral part of dealing with panic buying since every major environmental crisis has the potential to initiate panic buying behaviour in the general public. This book will analyse episodes of panic buying and major environmental crisis focusing on specific prevention strategies. This book is the first of its kind of approach to join up the management of panic buying during a public health emergency.

This book examines how the Sustainable Development Goals (SDGs) are related to mental health in South Asia. According to the World Health Organization, SDG 3 aims for "good health and well-being" which includes mental health. Just like physical health, mental well-being is important for individuals to thrive. Poor mental health can hinder progress in other areas like poverty reduction (SDG 1) or education (SDG 4). Mental illness can make it difficult to hold a job, stay in school, or manage daily life, increasing poverty and limiting opportunities. Hence, we can clearly understand the connection between good mental health and a sustainable future. The SDGs and their progress is one of the global priorities. However, no previous attempt has been made to discuss how the SDGs are related to mental health in South Asia which caters to a population of about 2 billion. This book is the first of its kind to do so.