	Biostatistics (biol 467)


	notes, study guides, syllabus, etc. will be posted for 2019 spring term in December

	• topic 1: language of experiments (variables, treatments, replication, balance) and overview of experimental designs (crd, rcbd, nested) • topic 2: how to structure datasets, import them into R, and summarize them • topic 3: principles of inference: sample vs. statistical population; description vs. inference • topic 4: CRD experiments with one continuous RV & one categorical EV (including fixed effects vs. random effects) • topic 5: "experiments" with two continuous variables or two ordinal variables • topic 6: experiments with one continuous EV and one continuous RV (introduction to General Linear Models, including a 2nd look at topic 4) • topic 7: experiments with one continuous RV and more than one continuous EV • topic 8: CRD experiments with one continuous RV and at least two categorical EVs that are crossed • topic 9: expts with one continuous RV, at least one categorical EV, and a continuous EV (covariate) • topic 10: Randomized Complete Block Design (rcbd), Generalized rcbd, & repeated measure design • topic 11: nested designs and designs that include both blocking and nesting • topic 12: alternatives, including introduction to Generalized Linear Models • topic 13: experiments with one categorical RV and one continuous EV • topic 14: experiments with only categorical variables: analysis of frequencies (i.e., counts) & relative frequencies (i.e., proportions) • topic 15: multivariate data reduction techniques


	A few of gazillion helpful websites

	1. Quick References • Quick-R: an excellent site by Rob Kabacoff (author of "R in Action") • R Studio Cheat Sheets 2. My favorite "R" sites with more detailed explanations and examples • Murray Logan (author of "Biostatistical Design & Analysis Using R") - instruction with examples • William King (Coastal Carolina University) - instruction with examples • UCLA's Institute of Digital Research and Education - instruction with examples • Winston Chang (author of "R Cookbook") - R examples • The Analysis Factor - R tutorials and workshops • Mark Gardener (author of several R books) - R tutorials • William Revelle (Psychology, Northwestern University) - instruction with examples • Chi Yau's (author of "R Tutorial") - R tutorials • John M. Quick (author of "Statistical Analysis with R") - R tutorials • UC-Riverside's Bioinformatics Institute - R Programming • Michael Whitlock & Dolph Schluter - R code used in their book, "Analysis of Biological Data" 3. R Tutorials, News, Jobs, etc.: R-Bloggers 4. The official R website: https://cran.r-project.org 5. Real Statistics with Excel (created by Charles Zaiontz) - incredible site and generous man