Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
Multicenter Phase I/II Study of Cetuximab With Paclitaxel and Carboplatin in Untreated Patients With Stage IV Non–Small-Cell Lung Cancer Data from 1,066 patients recruited from nine European centers ...
This is a preview. Log in through your library . Abstract In estimating the regression coefficient of y on x, we can sometimes increase precision by using supplementary observations, u. We need to ...
Recently linear rank statistics with censored data have been used as the estimating functions for the regression parameters in the linear model with an unspecified ...
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