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



For Students


This Week

Unit Lecture Notes

Unit Tests


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


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)

(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)

(3) Activities

R Studio

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


(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)
(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