著者:Daniel Westreich
出版社: Oxford University Press
発売日: 2019年10月16日
A (LONG OVERDUE) CAUSAL APPROACH TO INTRODUCTORY EPIDEMIOLOGY Epidemiology is recognized as the science of public health, evidence-based medicine, and comparative effectiveness research. Causal inf……続きを見る
Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved. It is an almost sci-fi world that touches u……続きを見る
As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were……続きを見る
This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP,……続きを見る
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitat……続きを見る
Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a com……続きを見る
Lest we Forget . . .
Reset or Renaissance offers a real-time chronicle of events unfolding during the heated core of the Covid pandemic: the latter half of 2021, shortly after the rollout of the Cov……続きを見る
著者:Daniel Feierstein
出版社: Fondo de Cultura Económica Argentina
発売日: 2022年05月30日
Entre enero y marzo de 2020 el mundo tuvo que afrontar un hecho nuevo, inesperado y de consecuencias imprevisibles. El COVID-19 se convirtió en el eje desde el que hubo que pensar la organización ec……続きを見る
著者:Daniel Zelterman
出版社: Springer International Publishing
発売日: 2023年01月20日
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the op……続きを見る
Die Pest zu London Daniel Defoe - "Bringt eure Toten raus!"Dieser von Glockenläuten begleitete Ruf der in den Straßen umherfahrenden Leichensammler hat Leser über die Jahrhunderte mit kaltem Grauen ……続きを見る
DANIEL DEFOE (1660 –1731), born Daniel Foe, was an English trader, writer, journalist, pamphleteer and spy. He is most famous for his novel Robinson Crusoe, published in 1719, which is claimed to be……続きを見る
This book presents a rigorous enquiry into life course processes that are thought to influence health, integrating the latest methodologies for the study of pathways that link socio-demographic circ……続きを見る
Dieses Buch liefert eine anwendungsorientierte Einführung in die Grundlagen der Datenauswertung mit dem freien Statistikpaket R. Es behandelt deskriptive Auswertungen ebenso wie inferenzstatistische……続きを見る
An introduction to state-of-the-art modeling and simulation approaches for social and economic determinants of population health
New Horizons in Modeling and Simulation for Social Epidemiology and P……続きを見る
“A profound and powerful work of essential reporting." ーThe New York Times Book Review
An importantーand intimateーinterrogation of how we treat mental illness and how we understand ourselves
In th……続きを見る
Understand the role of epidemiology in clinical medicine for the best patient outcomes possible
A Doody's Core Title for 2024!
For nearly a quarter of a century, Medical Epidemiology has been the go……続きを見る
著者:Daniel Zelterman
出版社: Springer International Publishing
発売日: 2015年08月03日
This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, sha……続きを見る
It is becoming increasingly important to examine the relationship between the outcomes of a clinical trial and the costs of the medical therapy under study. The results of such analysis can affect r……続きを見る
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the au……続きを見る
Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step……続きを見る