On a generalization of a result of W. G. Cochran

Biometrika

Volumn 94, Issue 3, 2007, Pages 755-757

  Cox, D R ^a  

^a NUFFIELD COLLEGE   (United Kingdom)

Author keywords

Conditioning; Least squares regression; Marginalizing; Nonlinear regression; Probit model; Proportional hazards model; Quantile regression

Indexed keywords

EID: 34548544057     PISSN: 00063444     EISSN: 14643510     Source Type: Journal    
DOI: 10.1093/biomet/asm046     Document Type: Article

References (5)

1. COCHRAN, W. G. (1938). The omission or addition of an independent variable in multiple linear regression. J. R. Statist. Soc. Suppl. 5, 171-76.
2. COX, D. R. & WERMUTH, N. (2003). A general condition for avoiding effect reversal after marginalization. J. R Statist. Soc. B 65, 937-41.
3. KOENKER, R. (2005). Quantile Regression. Cambridge: Cambridge University Press.
4. KOENKER, R. & BASSETT, G. (1978). Regression quantiles. Econometrica 46, 33-50.
5. WRIGHT, S. (1921). Correlation and causation. J. Agrie. Sci. 20, 162-77.