Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high-dimensional data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9178
Abstract: Longitudinal and high-dimensional measurements have become increasingly common in biomedical research. However, methods to predict survival outcomes using covariates that are both longitudinal and high-dimensional are currently missing. In this article, we propose penalized regression… read more here.
Keywords: penalized regression; high dimensional; outcomes using; longitudinal high ... See more keywords
Issues in Implementing Regression Calibration Analyses.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad098
Abstract: Regression calibration is a popular approach for correcting biases in estimated regression parameters when exposure variables are measured with error. This approach involves building a calibration equation to estimate the value of the unknown true… read more here.
Keywords: issues implementing; regression; regression calibration; calibration ... See more keywords