AMERICAN JOURNAL or EPIDEMIOLOGY Copynght 1976 by The Johns Hopkins University School of Hygiene and Public Health Vol 103, No. 6 Printed m USA THE ESTIMATION OF SYNERGY OR ANTAGONISM1 KENNETH J. ROTHMAN1 The estimation of interaction of two variat
WILEY SERIES IN MATHEMATICAL AND COMPUTATIONAL BIOLOGY Editor-in-Chief Simon Levin Department of Ecology and Evolutionary Biology, Princeton University, USA Associate Editors Zvia Agur, Tel-Aviv University, Israel Odo Diekmann, University of Utrecht
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble
Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology.
This book provides an introduction to processing clinical and population health data using rigorous methods and widely available, low cost, but very capable tools. The inclusion of the three leading dynamic programming languages broadens the appeal
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This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiol
Statistics for Spatial Data (Wiley Series in Probability and Statistics) Noel Cressie | Wiley-Interscience | January, 1993 | 928 pages | English | PDF Spatial statistics-analyzing spatial data through statistical models-has proven exceptionally vers
"Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data i
R语言之Use R!系列 a beginer's Guide to R (use R).pdf7.21 MB Analysis of Phylogenetics and Evolution with R (use R).pdf1.07 MB Applied Econometrics with R (Use R).pdf3.7 MB Applied Spatial Data Analysis with R (use R).pdf7.47 MB Applied Statistical Geneti
This book’s purpose is to engage all of nursing in the potential that big data analyt- ics holds for advancing our profession and the discipline of nursing spanning prac- tice, operations, research, academics, industry, and policy. The book includes
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