A fundamental and straightforward guide to using and understanding statistical concepts in medical researchDesigned specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide det...

A comprehensive introduction to bootstrap methods in the R programming environmentBootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern intr...

The Talmud is the repository of thousands of years of Jewish wisdom. It is a conglomerate of law, legend, and philosophy, a blend of unique logic and shrewd pragmatism, of history and science, of anecdotes and humor. Unfortunately, its sometimes complex subject matter often seems irrelevant in today's world. In this edited volume, sixteen eminent North American and Israeli scholars from several schools of Jewish thought grapple with the text and tradition of Talmud, talking personally abou...

Opens up the traditional Jewish prayer book as a spiritual resource....This groundbreaking new series involves us in a personal dialogue with God, history and tradition, through the heritage of prayer. "The prayer book is our Jewish diary of the centuries, a collection of prayers composed by generations of those who came before us, as they endeavored to express the meaning of their lives and their relationship to God. The prayer book is the essence of the Jewish soul." Framed with beautifu...

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized appr...

The mathematics behind today's most widely used rating and ranking methodsA website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers...

This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples...

Words of ancient wisdom from some of the world’s most seminal textsThe Wisdom of the Torah is an instruction in the central beliefs of three world religions: Judaism, Christianity, and Islam. But by observing the Torah, or the Hebrew Bible, as a collected work of multiple authors spanning generations, the modern reader can look beyond its fundamental instruction. In these works, readers find many lyrical and timeless reflections on what it means to have fa...

Applied Spatial Data Analysis with R, second edition, 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 import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds...

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two ap...

Offers you new ways to pray, new channels for communicating with God and new opportunities to open your heart to Gods response, from one of the most important spiritual teachers in contemporary American Judaism.

An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking ...