Linkage analysis of dominant molecular markers scored for a tea population with 2 parents and 90 offspring revealed many unexpected segregation ratios, given the parental configuration. Exploratory multivariate analysis indicated three subpopulations, thought to have different male parents. A modified analysis is described to assess marker linkages and QTL effects. Standard logistic regression analysis assumes that data was sampled from one random sample. By definition, sampling structures are not accounted for in the variance estimates.
Several techniques allow for adjusting the variance estimates.
Several models from the general class of Generalized Linear Models can be modified to account for sample design resulting in more accurate variance estimates. A pandemic of CR abuse sweeps through epidemiologists. Most are nonsense. Reasons why are presented, with examples. Model selection from sparse data makes parsimony provide preposterous precision.