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Annual all-age estimates of the difference between observed and baseline all-cause death rates were an average 19.8/100,000 greater than those estimated by using robust regression.
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Additional models using robust regression diagnostics were created by excluding outliers with Cook's distance >1.
The results were similar when using robust regression analysis.
As a first processing step, effective library size was estimated using robust regression.
We examined the relationship between drinking water and PFOA levels in serum using robust regression methods.
The change in severity of clinical arthritis between treatments was tested by using robust linear regression from the MASS R-package.
We used robust regression for all equations (Stata version 8.0 SE), controlling for cluster sampling by VA medical center.
We used robust regression with least trimmed squares estimation for multiple linear regression models to examine the influence by the outliers of chemical concentrations on beta coefficients (Chen 2002).
Risk factors for perinatal mortality were analysed by Poisson regression, by using robust variance estimates and expressed as RR.
†Results of univariable and multivariable Poisson regression adjusted for household clustering by using robust variance estimates.
The associations between explanatory variables and the outcomes will be estimated by crude and adjusted prevalence ratios (PR) and respective 95% CI using robust Poisson regression or by OR and respective 95% CI using logistic regression.
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