This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies.
The aim of health protection is to prevent and manage outbreaks of communicable and environmental diseases, and to make us better at responding to emergencies and disasters.
This textbook provides basic quantitative models allowing researchers and decision makers to a) assess viability of threatened populations and evaluate the success of species reintroductions, b) estimate invasion abilities of alien species, c) evaluate the persistence of metapopulations subjected to habitat destruction and fragmentation, d) analyze policies and strategies for the sustainable harvesting of biological resources, and e) assess the course of human and nonhuman diseases and the possible containment measures.
This volume, focusing on low back pain, is part of a survey of health care needs for specific conditions, published on behalf of the Department of Health.
This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and how to use invariant measurement to solve measurement problems in the social, behavioral, and health sciences.
This book comprehensively reviews the epidemiology and surveillance strategies of Visceral Leishmaniasis, and the latest developments in disease diagnosis, drug discovery, and vaccine development.
This concise volume analyzes the potential for the workplace environment-where so many people spend so much of their day-to improve workers' capacity for health and wellness.
The lifestyles and socio-economic status that are prevalent in regions of the world with limited resources form the background for the unique features of neoplastic diseases in these areas, where the majority of the world population lives.
A respected introduction to biostatistics, thoroughly updated and revised The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences.
The lifestyles and socio-economic status that are prevalent in regions of the world with limited resources form the background for the unique features of neoplastic diseases in these areas, where the majority of the world population lives.
Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials.
Only recently was it determined that two of the world's most devastating plagues, the plague of Justinian and the medieval Black Death, were caused by distinct strains of the same pathogen.
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology.
A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology.
In this new edition, the editors and contributors update and expand on the educational framework that was introduced in the first edition for rethinking disability in public health study and practice and for attaining the competencies that should accompany this knowledge.
This book focuses on novel approaches that provide a reliable basis for identifying what kinds of patients are likely to benefit from the each new treatment.
Dieses Buch beinhaltet eine großflächige und systematische Untersuchung des heranwachsenden Patientenkollektivs mit univentrikulärer Kreislaufphysiologie, einerseits durch eine vergleichende Analyse der internationalen Entwicklungen, andererseits anhand der postoperativen Langzeitergebnisse der heute adoleszenten und adulten Patienten aus dem Deutschen Herzzentrum Berlin.
A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry.
The third volume in the Handbooks in Health Economic Evaluation series, this book provides the reader with a comprehensive set of instructions and examples of how to perform an economic evaluation of a health intervention.
Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research.
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.
This text on smvival analysis methods contains the following chapters: 1 Introduction to Smvival Analysis 2 Kaplan-Meier Survival Curves and the Log-Rank Test 3 The Cox Proportional Hazards Model and Its Characteristics 4 Evaluating the Proportional Hazards Assumption 5 The Stratified Cox Procedure 6 Extension of the Cox Proportional Hazards Model for Time- Dependent Variables Each chapter contains a presentation of its topic in '1ecture-book"e; format together with objectives, an outline, key formulae, practice exercises, and a test.
Cardiovascular Diseases: Genetic Susceptibility, Environmental Factors and Their Interaction covers the special heritability characteristics and identifying genetic and environmental contributions to cardiovascular health.
Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments.
Structural Health Monitoring and Integrity Management is a collection of the papers presented at the 2nd International Conference of Structural Health Monitoring and Integrity Management (ICSHMIM2014, Nanjing, China, 24-26 September 2014), and addresses the most recent developments in the field of Structural Health Monitoring (SHM) and integrity ma
A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice.
