Week of Jan 14, 21: power analysis

• Quinn and Keough, section 7.3, pp 164-171.
• Ramsey and Schaefer (Statistical Sleuth): section 23.5 in 1st ed (and I believe same in 2nd ed.) describes confidence interval width approach to determining sample size.
• Most of the other books on reserve in Parks Library contain discussions of power analysis.

Week of Jan 29: Subsampling and variance components

• Quinn and Keough, section 9.1, pp 208-218, subsampling and variance component estimation

Week of Feb 5: Blocking

• Blocking is considered in many texts, including the Statistical Sleuth and Quinn and Keough, sections 10.1 - 10.3.
• Larry Douglas (UMD) notes and SAS code/interpretation for RCBD analysis.

Week of Mar 5: 2 way ANOVA

• All the details of effects models, model comparison and contrasts are in Littell et al, Sections 6.1-6.3 (pp 163-213).

Week of Mar 19: Split plot designs

• How to Recognize a Split-Plot Experiment From Minitab Inc. Examples are industrial studies, but the concepts are equally valid for biological studies.
• SAS details: Little et al, section 4.6 (pp 135-140)
• Textbook treatment: Quinn and Keogh Chapter 11, pp 301-338

Week of Apr 3: Repeated measures analysis

• Richter and Kroschewski, 2006. Analysis of a long-term experiment with repeated-measurement models. J. Agronomy and Crop Science 192:55-71. Illustration of the approach suggested in class.
• Repeated Measures analysis by modeling correlations:
  At least one of:
  Littell et all 1998. Statistical Analysis of Repeated Measures Data Using SAS Procedures. J. An. Sci. 76:1216-1231. Skip material on PROC GLM and the technical appendix, unless interested. Note: the example code in this paper omits the KR option in SAS, because the option wasn't available in 1998.
  Piepho, Buchse and Richter, 2004. A mixed modelling approach for randomized experiments with repeated measures Read details on pp 230-middle of 233, skim discussion (pp 243-end). Look at rest only if really interested in lots of details.