Article

Penalized regression for left-truncated and right-censored survival data

2021-02-12

Abstract excerpt

High-dimensional data are becoming increasingly common in the medical field as large volumes of patient information are collected and processed by high-throughput screening, electronic health records (EHRs), and comprehensive genomic testing. Statistical models that attempt to study the effects of many predictors on survival typically implement feature selection or penalized methods to mitigate the undesirable con...

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Literature Corpus work: 28fad8ec-7305-5388-9084-111a38f972b5
DOI: 10.1101/2021.02.09.21251373

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