Biostatistics (biol 467) 







• 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 

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