Survival analysis with coarsely observed covariates
Abstract
This research paper explore the methodology and findings associated with Unknown. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).
Related Research
- Modeling Clustered, Discrete, or Grouped Time Survival Data with Covariates 1999
- An Implicitly Defined Parametric Model for Censored Survival Data and Covariates 1995
- Inverse Probability Weighting in Survival Analysis 2014
- A study on the conditional survival function with random censored data 2004
- Discount Survival Models 1996
References
- R: A Language for Data Analysis and Graphics 1996
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model 2001
- Inference with Imputed Conditional Means 2000
- Multiple Imputation for the Cox Proportional Hazards Model with Missing Covariates 1997
- A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates. 2001