Sufficient Dimension Reduction for Censored Regressions
نویسندگان
چکیده
منابع مشابه
Sufficient dimension reduction for censored predictors.
Motivated by a study conducted to evaluate the associations of 51 inflammatory markers and lung cancer risk, we propose several approaches of varying computational complexity for analyzing multiple correlated markers that are also censored due to lower and/or upper limits of detection, using likelihood-based sufficient dimension reduction (SDR) methods. We extend the theory and the likelihood-b...
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Observational studies assessing causal or non-causal relationships between an explanatory measure and an outcome can be complicated by hosts of confounding measures. Large numbers of confounders can lead to several biases in conventional regression based estimation. Inference is more easily conducted if we reduce the number of confounders to a more manageable number. We discuss use of sufficien...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2010
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2010.01490.x