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Printable Handouts
Navigable Slide Index
- Introduction
- Outline
- Introduction (1)
- Introduction (2)
- Introduction (3)
- Nonparametric ANOVA
- The hypothesis of interest
- The hypothesis of no average treatment effect
- The hypothesis of no simple treatment effect
- Testing the hypotheses
- Nonparametric ACNOVA modeling
- Possible hypotheses (1)
- Possible hypotheses (2)
- Possible hypotheses (3)
- Testing hypothesis of no average treatment effect
- Testing in the nonparametric ACNOVA model
- Describing the test statistic
- The hypothesis corresponds to contrast matrix C
- Results of simulation study
- Data sets: the Penn state YWH study (1)
- Data sets: the Penn state YWH study (2)
- YWHS: data analysis
- Data sets: etiology of crime study (1)
- Data sets: etiology of crime study (2)
- Etiology of crime: data analysis (1)
- Etiology of crime: data analysis (2)
- Etiology of crime :plot of effects (1)
- Etiology of crime: plot of effects (2)
- Standardized relative treatment effects
- References
Topics Covered
- 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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Talk Citation
Akritas, M. (2017, September 26). Nonparametric covariate adjustment [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 13, 2024, from https://doi.org/10.69645/QSCT6596.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Michael Akritas has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.