Epidemiology and Medical statistics

Social differences in health and mortality constitute a persistent finding in epidemiological, demographic, and sociological research.

Making Connections: Geography and Drug Addiction Geography involves making connections - connections in our world among people and places, cultures, human activities, and natural processes.

Forty years ago, the age-old battle against infectious diseases as a major threat to human health was believed close to being won.

The anthrax envelopes incident in the United States in 2001 created the impetus for a substantial increase in preparedness for bioterrorist threats among both public health and law enforcement professionals, worldwide.

3 the observation focus on aggregate or individual behaviours?

The last few years have seen enormous progress in terms of our understanding of the etiology and pathogenesis of cervical cancer (particularly with respect to the role of human papillomaviruses), and this has opened up new avenues for prevention.

Despite decades of developments in immunization and drug therapy, tuberculosis remains among the leading causes of human mortality, and no country has successfully eradicated the disease.

As waves of epidemic disease swept the Philippines in the late nineteenth century, some colonial physicians began to fear that the indigenous population would be wiped out.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs.

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us.

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us.

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data.

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data.

As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless.

Highly practical yet authoritative, the new edition of Modern Infectious Disease Epidemiology has been thoroughly updated and revised in line with changing health concerns.

Highly practical yet authoritative, the new edition of Modern Infectious Disease Epidemiology has been thoroughly updated and revised in line with changing health concerns.

The care paradigm for people with HIV has shifted from managing progressive illness with a poor prognosis to managing a chronic condition.

The care paradigm for people with HIV has shifted from managing progressive illness with a poor prognosis to managing a chronic condition.

Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics.

Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics.

The closure of the Millennium Development Goals (MDGs) in 2015 prompted the need for a book of this kind.

The closure of the Millennium Development Goals (MDGs) in 2015 prompted the need for a book of this kind.

What is 'digital health'?

What is 'digital health'?

Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems.

Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems.

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.

With COVID-19 sweeping across the globe with near impunity, it is thwarting governments and health organizations efforts to contain it.

With COVID-19 sweeping across the globe with near impunity, it is thwarting governments and health organizations efforts to contain it.

Praise for the Second Edition:"e;.

Praise for the Second Edition:"e;.

Praise for the first edition:"e;Given the author's years of experience as a statistician and as a founder of the first DMC in pharmaceutical industry trials, I highly recommend this book-not only for experts because of its cogent and organized presentation, but more importantly for young investigators who are seeking information about the logistical and philosophical aspects of a DMC.

Whether you call them work-related upper limb disorders (WRULDs), cumulative trauma disorders (CTDS), or occupational overuse syndromes (OOSs), these conditions are a cause of pain, disability and suffering to workers worldwide.

Whether you call them work-related upper limb disorders (WRULDs), cumulative trauma disorders (CTDS), or occupational overuse syndromes (OOSs), these conditions are a cause of pain, disability and suffering to workers worldwide.

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions.

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions.

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods.

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods.

Contains over 200 cases, covering every type of canine infectious diseaseFeatures international contributorsSupplies the perfect companion to Self-assessment Color Review of Feline Infectious Diseases.

Contains over 200 cases, covering every type of canine infectious diseaseFeatures international contributorsSupplies the perfect companion to Self-assessment Color Review of Feline Infectious Diseases.

Platform trials test multiple therapies in one indication, one therapy for multiple indications, or both.

Platform trials test multiple therapies in one indication, one therapy for multiple indications, or both.

Pocket Guide to Bacterial Infections provides information pertinent to the behaviour of bacterial cells during their interactions with different cell types of multiple host systems.

Pocket Guide to Bacterial Infections provides information pertinent to the behaviour of bacterial cells during their interactions with different cell types of multiple host systems.

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials.

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials.

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009).

Review of the First Edition"e;The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods.

Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development.

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field.