title: On multiple comparisons in the randomization analysis of growth and response curves.
abstract: Two multiple-comparisons procedures are suggested for supplementing randomization analysis of growth and response curves. One controls the experimentwise Type I error rate for all possible contrast curves via an extension of the Scheffé method. The other controls a family of Type I error rates via a stepwise testing procedure. Both can be approximated by standard F tests without costly recomputation of all of the test statistics for a large number of permutations.
mesh_terms: D001699:Biometry / Q000379:methods; D005947:Glucose; D006801:Humans; D006946:Hyperinsulinism / Q000097:blood* / Q000150:complications; D007700:Kinetics; D009765:Obesity / Q000097:blood* / Q000150:complications; D010710:Phosphates / Q000097:blood*; D011897:Random Allocation; D012016:Reference Values
chemical_list: D010710:Phosphates; D005947:Glucose