Epidemiology and Medical statistics

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results.

The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify.

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Despite their similar political and economic structures, Brazil and the United States have contrasting relationships with the international community as well as different policy approaches to the prevention and treatment of epidemics.

Two decades after the third edition of Lilienfeld's Foundations of Epidemiology advanced the teaching of epidemiology, this completely revised fourth edition offers a new and innovative approach for future generations of students in population health.

Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests.

Using minimal jargon, this book provides a comprehensive and practical introduction to the methods used for fMRI data analysis.

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data.

"e;This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure.

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques.

The incidence of insulin-dependent diabetes mellitus (100M) varies dramatically across racial groups and countries, with annual age-adjusted rates of approximately 40/100,000 per year in Finland, but only 0.

Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data.

This new edition of Viral Pandemics illuminates how the increasing emergence of novel viruses has combined with intensifying global interconnectedness to create an escalating spiral of viral disease.

This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data.

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies.

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers.

Is it sensible to screen for breast or prostate cancer?

This book is a comprehensive and practical introduction of clinical epidemiology for students and practitioners.

This book aims to fill a gap in the current construction health and safety research and discover new knowledge about work stress induced chronic diseases among construction industry professionals.

Die fünfte, überarbeitete Auflage stellt in klarer Form die relevanten Themen der Statistik vor.

Healthcare and medical science are inherently dependent on technological advances and innovations for improved care.

Currently, population health science is an integral part of global academic curricula.

Over the last three decades enormous effort has gone into strengthening public health information systems (HIS).

The medical sector has been growing exponentially over the last decade and healthcare services are becoming more complex and costly.

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data.

The impact of illness on individual lives and society at large was once considered too vast to gauge.

In the second edition of An Introduction to the Geography of Health, Helen Hazen and Peter Anthamatten explore the ways in which geographic ideas and approaches can inform our understanding of health.

The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solveproblems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems.

This book serves as a concise guide to urinary stone disease, providing simplified and complete information about the topic area.

In 1986, the emergence of a novel brain disease in British cattle presented a unique challenge to scientists.

Disease is everywhere.

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool.

Patients who have both a psychiatric disorder and a substance abuse problem cause most clinicians to throw up their hands in despair.

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

Pharmacokinetic variability of contraceptive steroids is a relatively under-explored area of contraceptive research, and hardly a common point of discussion among those who plan and deliver family planning services.

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

The alarm sounded by Canada's confirmed case of bovine spongiform encephalopathy (BSE) has reaffirmed the exigency of establishing improved safeguards and more aggressive surveillance protocols in North America and around the world.

A complex disease involves many etiological and risk factors operating at multiple levels-molecular, cellular, organismal, and environmental.

This text presents six mini-courses, all devoted to interactions between representation theory of algebras, homological algebra, and the new ever-expanding theory of cluster algebras.

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data.

Since publication of the first three editions of this hugely successful book, systematic methods of critical appraisal have been accepted as central to healthcare provision, both in critical applications and in a wider health services and community perspective.

This updated second edition of Molecular Typing in Bacterial Infections, presented in two volumes, covers both common and neglected bacterial pathogenic agents, highlighting the most effective methods for their identification and classification in the light of their specific epidemiology.

This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations.