Epidemiology and Medical statistics

Explains the mathematics involved in understanding and choosing an array of diagnostic and prognostic tests, in order to improve treatment.

Explains the mathematics involved in understanding and choosing an array of diagnostic and prognostic tests, in order to improve treatment.

An evidence-based analysis of the opportunities and challenges of moving towards more person-centred health systems.

An overview of state-of-the-art research on how river environments impact biodiversity, species invasions, population dynamics, and the spread of waterborne disease.

Eight interdisciplinary essays by leading scholars and public figures discuss the timely theme of migration in a range of contexts.

Eight interdisciplinary essays by leading scholars and public figures discuss the timely theme of migration in a range of contexts.

An evidence-based analysis of the opportunities and challenges of moving towards more person-centred health systems.

An updated edition of Jacques Pépin''s acclaimed account of the events that transformed a chimpanzee virus into a global pandemic.

An updated edition of Jacques Pépin''s acclaimed account of the events that transformed a chimpanzee virus into a global pandemic.

Real-life examples and exercises emphasize interpretation of statistical linear models and computer output using a minimum of mathematics.

A readable, digestible introduction to essential theory and wealth of applications, with a vast set of examples and numerous exercises.

A readable, digestible introduction to essential theory and wealth of applications, with a vast set of examples and numerous exercises.

Provides an international, unifying perspective, based on the ''public choice'' tradition, to explain how patient-citizens interact with political institutions to determine health policies.

Explores values, ideas and structures promoting justice for children and families, under the headings of fairness, protection and autonomy.

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Asks whether personalised medicine is superior to ''one-size-fits-all'' treatment.

Sharing biological resources—critical for new medicines and vaccines—has declined as countries and scientists dispute rights over research.

It humanizes high-level debates over indicators and data in development aid, showing how they are used to make life-or-death decisions.

Provides an international, unifying perspective, based on the ''public choice'' tradition, to explain how patient-citizens interact with political institutions to determine health policies.

Provides a new approach to psychological hedonism and applies it to the growing global epidemic of unhealthy behavior.

An insider account that encapsulates thirty years of experience in conducting data science in a political context.

An insider account that encapsulates thirty years of experience in conducting data science in a political context.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Explores values, ideas and structures promoting justice for children and families, under the headings of fairness, protection and autonomy.

It humanizes high-level debates over indicators and data in development aid, showing how they are used to make life-or-death decisions.

Asks whether personalised medicine is superior to ''one-size-fits-all'' treatment.

A comprehensive, best practices resource for public health and healthcare practitioners and students interested in humanitarian emergencies.

Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

A comprehensive, best practices resource for public health and healthcare practitioners and students interested in humanitarian emergencies.

Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Preventing War and Promoting Peace focuses on how health professionals can actively engage in the prevention of war and the promotion of peace.

Taking a comparative approach, this book investigates the ways that obesity and its susceptibilities are framed in science and policy.

Preventing War and Promoting Peace focuses on how health professionals can actively engage in the prevention of war and the promotion of peace.

Taking a comparative approach, this book investigates the ways that obesity and its susceptibilities are framed in science and policy.

A clear, hands-on outline of best practices for infection prevention that directly improve patient outcomes across the healthcare continuum.

A clear, hands-on outline of best practices for infection prevention that directly improve patient outcomes across the healthcare continuum.

Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between environmental epidemiology and spatio-temporal modeling.

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

Draws together evidence that poverty causes serious mental illness and gives recommendations as to what can be done about this.

An authoritative, evidence-based overview of the health needs of people with intellectual disabilities and how to manage these needs appropriately.

An authoritative, evidence-based overview of the health needs of people with intellectual disabilities and how to manage these needs appropriately.

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

Hands-on guide to the R system for data analysis for scientists, students and practising statisticians.

Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.

Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.

Panteleimon Ekkekakis provides an accessible guidebook which clarifies theory and proposes a sound system for selecting measures for affective constructs.

Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.