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BIOSTATS 540 - Fall 2021
Introduction to Biostatistics
Biostatistics and Epidemiology
UMass Amherst
Instructor: Carol Bigelow




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Unit Lecture Notes


Unit Tests

Illustrations


Other Resources






Course Unit Pages

1. Summarizing Data

2. Data Visualization

3. Probability: Basics

4. Probabilities in Epidemiology

5. Populations and Samples

6. Bernoulli and Binomal Distributions


7. Normal Distribution


8. Statistical Literacy: Estimation and Hypothesis Testing


9. One Sample Inference

10. Two Sample Inference


11. Chi Square Tests


12. Simple Linear Regression and Correlation

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Unit 2. Data Visualization

1. Introduction
2. Learning Module
3. Activities

4. Resources

(1) Introduction

#1. (source: senseaboutscienceusa.org: George Cobb, Professor Emeritus, Mt Holyoke College) The Graph that Launched a Thousand News Stories (html)
#2. Video (source: TED Talk, David McCandless) The Beauty of Data Visualization
(video, 18:20
)
#3. Video (source: PBS Digital Studios) The Art of Data Visualization (video, 7:47)



AT A GLANCE (Source: PH525X seried - BiomedicalData Science and Karl Broman) Plots to Avoid (html)
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(2) Learning Module
BIOSTATS 540 Fall 2021 Course Notes 2. Data Visualization (pdf, 42 pp)
Right click to download ICU data in excel format (icu_540.xlsx)
Right click to download data as an R dataset (icu_540.Rdata)
(Source: Weissgerber TL et al, 2015. PLOT Biology 13 (4): e10028) Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm (pdf, 7 pp)
Homework Questions due Friday October 1, 2021 are embedded in 2. Data Visualization (pdf, 42 pp)

Question 1
Art of Stat Users: nothing to download
R Users right click to download (q1data.Rdata)

Questions 2-4
Art of Stat Users Right Click to download (cholesterol_540.xlsx)
R Users right click to download (cholesterol_smokers.Rdata) and (cholesterol_nonsmokers.Rdata)

SOLUTIONS to homework
Art of Stat (pdf, 9 pp)
R USERS (pdf, 8 pp)
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(3) Activities

R Studio

__ Right click to download the R dataset
(framingham.Rdata).
__ (Source: BIOSTATS 540 Fall 2021) R Handout Fall 2021: Data Visualization with ggplot2 (pdf, 21 pp)

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(4) Resources
(Source: John McGready JHSPH Statistical Reasoning Course) Stem and Leaf Plots, Box Plots (pdf, 25 slides)
(Source: John McGready JHSPH Statistical Reasoning Course) Histograms (pdf, 14 slides)
(Source: pdfs.com.org/skillbuilders/MS/MC_Stem-and-Leaf_Plot.pdf) - Stem and Leaf Plots (pdf, 2 pp)
(Source: Statistics Canada) Stem and Leaf Plots - provides additional help (html)
(Source: David M. Lane. onlinestatbook.com) - Box and Whisker Plots (html)
APPLET (Source: Utah State University) Box and Whisker Plot & Histogram (html)
APPLET (Source: www.analyzemath.com) Box and Whisker Plot - Interactive. Play with it an see how box plots change as sample values are changed from sets that are symmetric to sets that exhibit skewness!(html)
(Source: Weissgerber TL et al, 2015. PLOT Biology 13 (4): e10028) Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm (pdf, 7 pp)
(Source: NY Times) Monthly Feature - What is Going on in this Graph (html)
(Source: Zaloumis SG et al, 2015. Parisitology 142: 1351-1363) Presenting parisitological data: the good, the bad, and the error bar (pdf, 13 pp)
R
(Source: www.sthda.com/english/wiki/ggplot2-essentials) STHDA - ggplot2 Essentials (html)
(Source: stats.idre.ucla.edu/data/intro_ggplot2/ggplot2_intro_slidy.html#(1)) Introduction to ggplot2 (html)
 
 

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This is the course web site for BIOSTATS 540W, Biostatistics and Epidemiology.
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Send comments or questions about this web site to cbigelow@schoolph.umass.edu.
Page updated: September 20, 2021