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
Macroeconomic forecasting using penalized regression methods
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2018.01.001
Abstract: We study the suitability of lasso-type penalized regression techniques when applied to macroeconomic forecasting with high-dimensional datasets. We consider performance of the lasso-type methods when the true DGP is a factor model, contradicting the sparsity… read more here.
Keywords: penalized regression; forecasting using; regression; macroeconomic forecasting ... See more keywords
A general framework for prediction in penalized regression
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DOI: 10.1177/1471082x19896867
Abstract: There are two main approaches to carrying out prediction in the context of penalized regression: with low-rank basis and penalties or through the smooth mixed models. In this article, we give further insight in the… read more here.
Keywords: penalized regression; framework prediction; prediction penalized; general framework ... See more keywords
Defining a screening tool for post-traumatic stress disorder in East Africa: a penalized regression approach
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2024.1383171
Abstract: Background Scalable PTSD screening strategies must be brief, accurate and capable of administration by a non-specialized workforce. Methods We used PTSD as determined by the structured clinical interview as our gold standard and considered predictors… read more here.
Keywords: penalized regression; screening tool; stress; ptsd ... See more keywords
Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression
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DOI: 10.3390/sym16040469
Abstract: We address the estimation of regression parameters for the ill-conditioned predictive linear model in this study. Traditional least squares methods often encounter challenges in yielding reliable results when there is multicollinearity. Therefore, we employ a… read more here.
Keywords: average least; least squares; centered penalized; regression ... See more keywords
A New Semiparametric Approach to Finite Mixture of Regressions using Penalized Regression via Fusion.
Sign Up to like & getrecommendations! Published in 2020 at "Statistica Sinica"
DOI: 10.5705/ss.202016.0531
Abstract: For some modeling problems a population may be better assessed as an aggregate of unknown subpopulations, each with a distinct relationship between a response and associated variables. The finite mixture of regressions (FMR) model, in… read more here.
Keywords: regression; penalized regression; finite mixture; approach ... See more keywords