Võrdle meetodeid

	Ristuvate uuringute disain	Jagatud katselappidega eksperimendi disain (Split-Plot Experimental Design)
Valdkond	Katsedisain	Katsedisain
Perekond	Hypothesis test	Hypothesis test
Tekkeaasta	1960	1935
Looja	Early formalized in clinical research literature; widely used since mid-20th century	Frank Yates
Tüüp	Within-subject repeated-measures design	Parametric mixed-model ANOVA
Algallikas	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.
Rööpnimetused	within-subject crossover, cross-over design, AB/BA design, Çapraz Desen (Crossover Design)	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)
Seotud	6	6
Kokkuvõte	A crossover design is an experimental design in which each participant receives all treatments under investigation, but in a different sequence and across separate time periods. Each subject thus acts as their own control, which substantially reduces between-subject variability and allows efficient treatment comparisons with smaller sample sizes. The approach has been central to clinical pharmacology and comparative research since the mid-20th century, with foundational methodology codified by Senn (2002) and Jones & Kenward (2014).	The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot.