Probability, Statistics and Modelling in Public Health - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability, Statistics and Modelling in Public Health write by M.S. Nikulin. This book was released on 2006-02-10. Probability, Statistics and Modelling in Public Health available in PDF, EPUB and Kindle. Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
Probability, Statistics and Modeling in Public Health
Probability, Statistics and Modeling in Public Health - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability, Statistics and Modeling in Public Health write by Phillis Cousins. This book was released on 2023-09-26. Probability, Statistics and Modeling in Public Health available in PDF, EPUB and Kindle. Public health is an interdisciplinary field that draws from fields such as epidemiology, biostatistics, social sciences, and management of health services. The primary aims of public health include preventing disease, prolonging life and promoting health. The objectives of public health can be achieved through organized efforts and choices made by society, public and private organizations, communities, and individuals. The study of public health also involves the role of environmental health, community health, behavioral health, health economics, public policy, mental health, health education, health politics, occupational safety, disability, oral health, and reproductive health. The pivotal role of public health is to inform, educate, and empower people about the various health-related problems and their resolutions. This can be performed by assessing current services, ascertaining the requirements of health professionals, and supporting decision making in health care. This book is compiled in such a manner, that it will provide an in-depth knowledge about public health as well as the application of probability, statistics and modeling in this field. It is appropriate for those seeking detailed information in this area of study.
Statistical Models in Epidemiology
Statistical Models in Epidemiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Models in Epidemiology write by David Clayton. This book was released on 2013-01-17. Statistical Models in Epidemiology available in PDF, EPUB and Kindle. This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics.
Disease Modelling and Public Health, Part A
Disease Modelling and Public Health, Part A - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Disease Modelling and Public Health, Part A write by . This book was released on 2017-10-13. Disease Modelling and Public Health, Part A available in PDF, EPUB and Kindle. Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject experts Provides a unique breadth and depth of content coverage Addresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output
Probabilistic Modeling in Bioinformatics and Medical Informatics
Probabilistic Modeling in Bioinformatics and Medical Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probabilistic Modeling in Bioinformatics and Medical Informatics write by Dirk Husmeier. This book was released on 2006-05-06. Probabilistic Modeling in Bioinformatics and Medical Informatics available in PDF, EPUB and Kindle. Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
