Evidence map›Paper›PMID 34302373›Full record

ArticleStatistics in medicine2021

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

Sarah F McGough, Devin Incerti, Svetlana Lyalina, Ryan Copping, Balasubramanian Narasimhan, Robert Tibshirani

Abstract read
In one paragraph

Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
  2. SPEN inactivation drives resistance to androgen receptor pathway inhibitors in metastatic prostate cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Article
  4. Article
  5. Association of Homologous Recombination Repair Alterations with Outcomes in Patients with Metastatic Hormone-Sensitive Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  6. Observational
  7. Article
  8. Effectiveness of PARP Inhibitor Maintenance Therapy in Ovarian Cancer by BRCA1/2 and a Scar-Based HRD Signature in Real-World Practice.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sarah F McGoughProduct Development, Genentech, Inc, South San Francisco, California, USA.ORCID 0000-0003-2448-6714
Devin IncertiProduct Development, Genentech, Inc, South San Francisco, California, USA.ORCID 0000-0002-4479-8750
Svetlana LyalinaProduct Development, Genentech, Inc, South San Francisco, California, USA.ORCID 0000-0002-5565-7355
Ryan CoppingProduct Development, Genentech, Inc, South San Francisco, California, USA.ORCID 0000-0002-3399-0085
Balasubramanian NarasimhanDepartment of Statistics, Stanford University, Stanford, California, USA.ORCID 0000-0001-5852-7639
Robert TibshiraniDepartment of Statistics, Stanford University, Stanford, California, USA.ORCID 0000-0003-0553-5090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, 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 consequences of overfitting. In some cases survival data are also left-truncated which can give rise to an immortal time bias, but penalized survival methods that adjust for left truncation are not commonly implemented. To address these challenges, we apply a penalized Cox proportional hazards model for left-truncated and right-censored survival data and assess implications of left truncation adjustment on bias and interpretation. We use simulation studies and a high-dimensional, real-world clinico-genomic database to highlight the pitfalls of failing to account for left truncation in survival modeling.

Indexed as

Models, StatisticalBiasComputer SimulationHumansProportional Hazards ModelsCox modelhigh-dimensional datalassoleft truncationpenalized regressionsurvival analysis

Identifiers

PMID34302373
PMCPMC9290657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.