Nonparametric covariate adjustment [electronic resource] / Michael G. Akritas.
Material type:
FilmSeries: Henry Stewart talksBiomedical & life sciences collection. Design and analysis of randomized clinical trials : design, analysis & theory: Publisher: London : Henry Stewart Talks, 2007Description: 1 online resource (1 streaming video file (37 min.) : color, sound)Subject(s): Nonparametric Statistics | Randomized Controlled Trials as TopicOnline resources: Click here to access online | Series "June 2006".
Animated audio-visual presentation with synchronized narration.
Title from title frames.
Contents: Common parametric and semiparametric approaches for adjusting for covariates, including analysis of variance (ANOVA) and analysis of covariance (ANCOVA) -- The assumptions underlying their validity -- The nonparametric version of the ANOVA model which formulates hypotheses in terms of the cumulative distribution functions as a useful, assumption-free, alternative -- Statistics for testing such hypotheses are extensions of the rank-sum statistic to the ANOVA setting and are implemented with the FANOVA and PROC MIXED procedures in SAS -- An extension of the nonparametric ANOVA methodology to continuous covariates (ANCOVA) -- Simulation results -- Analysis of data examples: the Penn State Young Women's Health Study (YWHS) and the Etiology of Crime Study.
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Mode of access: World Wide Web.