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- W4385829905 abstract "A simple exponential regression model is considered where the rate parameter of the response variable linearly depends on the explanatory variable. We consider complications of the model: censoring of the response variable (either upper censoring or interval observations), the additive classical error or multiplicative Berkson error in the explanatory variable, or a combination of censoring with Berkson errors. We construct or use already-known estimators in the models, and verify their performance in simulations." @default.
- W4385829905 created "2023-08-16" @default.
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- W4385829905 date "2023-08-15" @default.
- W4385829905 modified "2023-09-27" @default.
- W4385829905 title "Estimation in Linear-Rate Simple Survival Models with Measurement Errors and Censoring" @default.
- W4385829905 doi "https://doi.org/10.17713/ajs.v52isi.1771" @default.
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