Comparar métodos

	Diseño de Ensayo Cruzado	Diseño experimental de parcelas divididas
Campo	Diseño experimental	Diseño experimental
Familia	Hypothesis test	Hypothesis test
Año de origen	1960	1935
Autor original	Early formalized in clinical research literature; widely used since mid-20th century	Frank Yates
Tipo	Within-subject repeated-measures design	Parametric mixed-model ANOVA
Fuente seminal	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.
Alias	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)
Relacionados	6	6
Resumen	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.