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In this paper we present the construction of robust designs for a possibly misspecified generalized linear regression model when the data are censored.
We first considered an OLS regression, but because donations cannot be smaller than 0 or larger than 10 (cf. Figs 1 and 2), one may argue that the data are censored.
It has been shown through extensive simulation that the NILS method proposed returns estimates of model parameters close to those estimated with complete information, even for probability of censoring (POC) equal to 0.7 (i.e. 70% of the data are censored).
Survival data are censored at one year.
Figure 5 shows the control charts under the last scenario when the data are censored in moderate rate (50%%) of the last stage and the high rate (80%%) of the second stage.
When the data are censored, the bias is maximized at censoring but decreases with heavy censorship.
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Rarely do users have any recourse when their data was censored or disclosed without their consent, the group said.
Data were censored at 3-months and are mean (SD) unless otherwise stated.
In the survival analysis, all data were censored at a follow-up after 5 years.
In the survival analysis, data were censored at a follow-up time of 5 years.
In the survival analysis, all data was censored at a follow-up after 5years.
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