Divine Tito F. Wanduku, Gangaram S. Ladde, Jay G. Ladde
Sērija : De Gruyter Series in Probability and Stochastics
(Izdošanas datums: 19-May-2025, Hardback, Izdevniecība: De Gruyter, ISBN-13: 9783111612935)
The recent advent of rapid technological changes, scientific developments, and educational expansions have created complex heterogeneities, environmental uncertainties, and socio-economic-ecological inequalities globally. The innovative beneficial...Lasīt vairāk
Causal inference and the peoples health? Myriad urgent problems confront the peoples health: the climate crisis, infectious disease pandemics, the financialization of healthcare, hyper-exploitation of workers and hyper-concentrations of wealth, an...Lasīt vairāk
This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research. Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal re...Lasīt vairāk
Basic Epidemiology and Biostatistics: A Practical Guide integrates biostatistics, epidemiology and their applications to public health, clinical and social science projects. The book describes the role of epidemiological methods through stu...Lasīt vairāk
With all the insights experienced in the COVID process, one essential remains: The virus remains a constant companion. In contrast to regularly occurring infection processes, a COVID infection takes a different course. This is characterized by a dy...Lasīt vairāk
Ageing epidemiology is the study of the health of an ageing population. It is a very active area of research in epidemiology, but has its own issues, which has led to the development of methodology specific to the area. This book covers all the es...Lasīt vairāk
This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs. It presents a unified view of th...Lasīt vairāk
Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies,...Lasīt vairāk
(Izdošanas datums: 27-Apr-2023, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009288040)
Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies,...Lasīt vairāk
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power...Lasīt vairāk
This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and me...Lasīt vairāk
This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, c...Lasīt vairāk
With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly d...Lasīt vairāk
This book should be appropriate for use both as a text and as a reference. This book delivers a ready-to-go well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical me...Lasīt vairāk
This book entitled How Data Can Manage Global Health Pandemics: Analyzing and Understanding COVID-19 provides guidance on these topics. While there are a few books on pandemics and COVID-19, role of technologies in pandemics, none of the books talk...Lasīt vairāk
This book entitled How Data Can Manage Global Health Pandemics: Analyzing and Understanding COVID-19 provides guidance on these topics. While there are a few books on pandemics and COVID-19, role of technologies in pandemics, none of the books talk...Lasīt vairāk
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power...Lasīt vairāk
This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and me...Lasīt vairāk
This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, c...Lasīt vairāk
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. The...Lasīt vairāk
