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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書目名稱Biostatistics with R影響因子(影響力)




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書目名稱Biostatistics with R網(wǎng)絡(luò)公開度




書目名稱Biostatistics with R網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Biostatistics with R讀者反饋學(xué)科排名

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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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