Software Application Profile : dynamicLM-a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks
© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association..
MOTIVATION: Providing a dynamic assessment of prognosis is essential for improved personalized medicine. The landmark model for survival data provides a potentially powerful solution to the dynamic prediction of disease progression. However, a general framework and a flexible implementation of the model that incorporates various outcomes, such as competing events, have been lacking. We present an R package, dynamicLM, a user-friendly tool for the landmark model for the dynamic prediction of survival data under competing risks, which includes various functions for data preparation, model development, prediction and evaluation of predictive performance.
IMPLEMENTATION: dynamicLM as an R package.
GENERAL FEATURES: The package includes options for incorporating time-varying covariates, capturing time-dependent effects of predictors and fitting a cause-specific landmark model for time-to-event data with or without competing risks. Tools for evaluating the prediction performance include time-dependent area under the ROC curve, Brier Score and calibration.
AVAILABILITY: Available on GitHub [https://github.com/thehanlab/dynamicLM].
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:52 |
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| Enthalten in: |
International journal of epidemiology - 52(2023), 6 vom: 25. Dez., Seite 1984-1989 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Fries, Anya H [VerfasserIn] |
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| Links: |
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| Themen: |
Competing risks |
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| Anmerkungen: |
Date Completed 27.12.2023 Date Revised 06.03.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/ije/dyad122 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM361680929 |
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|---|---|---|---|
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| 100 | 1 | |a Fries, Anya H |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Software Application Profile |b dynamicLM-a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
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| 500 | |a Date Completed 27.12.2023 | ||
| 500 | |a Date Revised 06.03.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association. | ||
| 520 | |a MOTIVATION: Providing a dynamic assessment of prognosis is essential for improved personalized medicine. The landmark model for survival data provides a potentially powerful solution to the dynamic prediction of disease progression. However, a general framework and a flexible implementation of the model that incorporates various outcomes, such as competing events, have been lacking. We present an R package, dynamicLM, a user-friendly tool for the landmark model for the dynamic prediction of survival data under competing risks, which includes various functions for data preparation, model development, prediction and evaluation of predictive performance | ||
| 520 | |a IMPLEMENTATION: dynamicLM as an R package | ||
| 520 | |a GENERAL FEATURES: The package includes options for incorporating time-varying covariates, capturing time-dependent effects of predictors and fitting a cause-specific landmark model for time-to-event data with or without competing risks. Tools for evaluating the prediction performance include time-dependent area under the ROC curve, Brier Score and calibration | ||
| 520 | |a AVAILABILITY: Available on GitHub [https://github.com/thehanlab/dynamicLM] | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Landmark | |
| 650 | 4 | |a R | |
| 650 | 4 | |a competing risks | |
| 650 | 4 | |a dynamic prediction | |
| 650 | 4 | |a time-dependent variables | |
| 700 | 1 | |a Choi, Eunji |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Julie T |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Justin H |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Victoria Y |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Robert J |e verfasserin |4 aut | |
| 700 | 1 | |a Liang, Su-Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Wakelee, Heather A |e verfasserin |4 aut | |
| 700 | 1 | |a Wilkens, Lynne R |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Iona |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Summer S |e verfasserin |4 aut | |
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| 773 | 1 | 8 | |g volume:52 |g year:2023 |g number:6 |g day:25 |g month:12 |g pages:1984-1989 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1093/ije/dyad122 |3 Volltext |
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