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Titlebook: Biostatistics with R; An Introduction to S Babak Shahbaba Book 2012 Springer Science+Business Media, LLC 2012 Biostatistics.R applications

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期刊全称Biostatistics with R
期刊简称An Introduction to S
影响因子2023Babak Shahbaba
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发行地址Discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools.Topics are motivated by real examples.Intended for a wide range of readers.I
学科分类Use R!
图书封面Titlebook: Biostatistics with R; An Introduction to S Babak Shahbaba Book 2012 Springer Science+Business Media, LLC 2012 Biostatistics.R applications
影响因子.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 appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis..This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text. .
Pindex Book 2012
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Probability,ainty. In statistical analysis of data, probability is the mathematical tool we use to quantify the extent of our uncertainty. In this chapter, we discuss some general rules of probability. We start by defining random events and then talk about assigning a probability to each event to reflect our un
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Estimation,cess of finding unknown parameters based on the representative sample obtained from the population is called estimation. Estimating parameters helps us to evaluate hypotheses, predict unknown values of random variables, and make decisions. In this chapter, we start by discussing point estimation, wh
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Statistical Inference for the Relationship Between Two Variables,ship between two variables. We start our discussion by focusing on situations where one variable is numerical and the other variable is binary. Typically, the numerical variable, called the response variable, is regarded as the primary variable of interest that captures a specific characteristic of
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Analysis of Variance (ANOVA),f interest is divided into multiple groups. The response variable is numerical as before. Analysis of variance (ANOVA) is a method of comparing the means of the response variable across different groups specified by the factor variable. Our primary focus in this chapter is on problems where there is
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