Bayesian and non-Bayesian techniques applied to censored survival data with missing values

@inproceedings{Andersen2007BayesianAN,
  title={Bayesian and non-Bayesian techniques applied to censored survival data with missing values},
  author={Andersen and Morten Nonboe and Lars Kai},
  year={2007}
}
This thesis is a comprehensive comparative study of survival analysis methods, in particular the application of the Cox Proportional Hazards (CPH) model to real life data: A data set with 48 right-censored (end of study) patients suffering from multiple myeloma, and the COpenhagen Stroke study (COST) database with 993 right-censored (10 year follow-up) stroke patients. The most frequently applied method, stepwise selection, is a variable selection technique that fits a single model by searching… CONTINUE READING

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