title: Rerandomization tests for analyzing correlated data from dental studies.
abstract: Dental research studies often produce relatively small data sets in which observations are serially or spatially correlated. Rerandomization tests are presented as alternatives to analysis of variance and multivariate analysis for assessing group differences using such data. Rerandomization tests are particularly useful when the investigator is unwilling to make strong assumptions about the nature of the serial correlation or the distribution of the data. Two examples are discussed that demonstrate these techniques.
authors.affiliation: Eastman Dental Center, Rochester, New York 14620.
authors.forename: M A
authors.initials: MA
authors.lastname: Espeland
authors.forename: W C
authors.initials: WC
authors.lastname: Murphy
authors.forename: C
authors.initials: C
authors.lastname: Cox
authors.forename: R J
authors.initials: RJ
authors.lastname: Billings
authors.forename: O J
authors.initials: OJ
authors.lastname: Bouwsma
mesh_terms: D003627:Data Interpretation, Statistical; D003813:Dentistry; D005459:Fluorides / Q000493:pharmacokinetics; D005881:Gingiva / Q000166:cytology; D011897:Random Allocation / Q000379:methods*; D012107:Research Design / Q000379:methods*; D012463:Saliva / Q000378:metabolism
chemical_list: D005459:Fluorides