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Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-319-02532-2

ISBN: 978-3-319-02531-5

Publisher: Springer International Publishing - Springer Journals

Oct 28, 2013

LitStream

Chapter 1Introduction: Biostatistics and R

MacFarland, Thomas W.

Pages: 1 –4

[The purpose of this lesson is to provide context for the science of biostatistics and to highlight a few of the major contributors. Emphasis is given to the role of data analysis for the various disciplines in the biological sciences (e.g., agriculture, biology, clinical trials, ecology,...
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Chapter 2Data Exploration, Descriptive Statistics, and Measures of Central Tendency

MacFarland, Thomas W.

Pages: 5 –16

[The purpose of this lesson is to give attention to descriptive analysis, measures of central tendency, and graphical presentation of data, which are essential before any statistical analyses are conducted. Initial efforts should be placed on data exploration and specifically the use of...
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Chapter 3Student’s t-Test for Independent Samples

MacFarland, Thomas W.

Pages: 17 –46

[The purpose of this lesson is to use R to examine differences between groups, specifically by using Student’s t-Test for Independent Samples. Overall, Student’s t-Test is a very common test for determining differences when a singular measured variable (e.g., IQ score, weight of dairy cow milk...
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Chapter 4Student’s t-Test for Matched Pairs

MacFarland, Thomas W.

Pages: 47 –72

[The purpose of this lesson is to use R to examine differences to a singular measured variable between pairs, specifically by using Student’s t-Test for Matched Pairs. Along with the use of Student’s t-Test to compare differences between two separate groups against a singular measured variable,...
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Chapter 5Oneway Analysis of Variance (ANOVA)

MacFarland, Thomas W.

Pages: 73 –97

[The purpose of this lesson is to provide guidance on how R can be used to compare differences to a singular measured variable between three or more groups using Oneway Analysis of Variance (ANOVA). Along with instruction on the use of R and R syntax associated with Oneway ANOVA, this lesson will...
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Chapter 6Twoway Analysis of Variance (ANOVA)

MacFarland, Thomas W.

Pages: 99 –127

[The purpose of this lesson on Twoway Analysis of Variance (ANOVA) is to provide guidance on how R can be used to see if two or more group means (e.g., Mean of Variable X for Gender breakouts and Race breakouts, Mean of Variable Y for Breed breakouts and Feeding Program Breakouts, etc.) differ...
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Chapter 7Correlation and Linear Regression

MacFarland, Thomas W.

Pages: 129 –163

[The purpose of this lesson on correlation and linear regression is to provide guidance on how R can be used to determine the association between two variables and to then use this degree of association to predict future outcomes. Past behavior is the best predictor of future behavior. This...
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Chapter 8Future Actions and Next Steps

MacFarland, Thomas W.

Pages: 165 –167

[The purpose of this lesson is to provide a brief summary of this text and to introduce a few topics that should be considered once initial skills in the use of R for biostatistics have been mastered. Along with a few ideas on external resources, contact information for the author is also provided.]

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