Results 1 to 10 of about 3,737,276 (277)

High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression. [PDF]

Biom J
Burk L, Bender A, Wright MN.
europepmc   +1 more source

Variable selection for doubly robust causal inference. [PDF]

Stat Interface
Cho E, Yang S.
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network. [PDF]

Bioengineering (Basel)
Luo B, Halabi S.
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Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data. [PDF]

J Appl Stat
Güney Y, Arslan O.
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A comparison of random forest variable selection methods for regression modeling of continuous outcomes. [PDF]

Brief Bioinform
O'Connell NS, Jaeger BC, Bullock GS, Speiser JL.   +3 more
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Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial. [PDF]

BMC Med Res Methodol
Mao L.
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MinLinMo: a minimalist approach to variable selection and linear model prediction. [PDF]

BMC Bioinformatics
Bohlin J, Håberg SE, Magnus P, Gjessing HK.   +3 more
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Prediction of prolonged length of stay from first 2 days of hospitalization data: a SHAP value-based variable selection method for a simplified model. [PDF]

Int J Qual Health Care
Fa R, Stoessel D, Artemova S, von Schenck U, Nowparast Rostami H, Madiot PE, Landelle C, Bosson JL.   +7 more
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Sparse vertex discriminant analysis: Variable selection for biomedical classification applications. [PDF]

Comput Stat Data Anal
Landeros A, Ko S, Chang JZ, Wu TT, Lange K.   +4 more
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Variable selection in mixture cure models using elastic net penalty: application to COVID-19 data. [PDF]

PLoS One
Ramalata A, Adekpedjou A, Lesaoana M.
europepmc   +1 more source