Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high-dimensional data.

Journal Information

Full Title: Stat Med

Abbreviation: Stat Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Statistics as Topic

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
0.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Evidence found in paper:

"data s1 supplementary material click here for additional data file."

Evidence found in paper:

"the scripts used for the simulations described in section 3 are available at https://github com/mirkosignorelli/pencal 3 as mentioned in section 1 the current lack of methods that can predict survival using predictors that are both longitudinal and high-dimensional forces the use of simpler prediction strategies which either ignore the longitudinal information or focus on a limited number of predictors and ignore the remaining ones."

COI Disclosure
Evidence found in paper:

"Funding information Association Francaise Contre les Myopathie, 17724; Stichting Duchenne Parent Project, 16.006; Stichting Spieren voor Spieren, SvS15"

Protocol Registration
Open Access
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025