Overview of model validation for survival regression model with competing risks using melanoma study data

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Overview of model validation for survival regression model with competing risks using melanoma study data

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wetenschappelijk artikel

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наукова стаття, опублікована в серпні 2018

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Overview of model validation f ...... isks using melanoma study data

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Overview of model validation f ...... isks using melanoma study data

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Overview of model validation f ...... isks using melanoma study data

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Overview of model validation f ...... isks using melanoma study data

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Overview of model validation f ...... isks using melanoma study data

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Overview of model validation f ...... isks using melanoma study data

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P1476

Overview of model validation f ...... isks using melanoma study data

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Bernhard Haller

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Christophe Combescure

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Giuliana Cortese

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Hyun Ja Lim

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Minjung Lee

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Roger Marshall

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Zhongheng Zhang

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P2860

Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data.

Tutorial in biostatistics: competing risks and multi-state models.

Comparing predictions among competing risks models with time-dependent covariates.

A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions.

Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.

Quantifying the predictive accuracy of time-to-event models in the presence of competing risks.

The analysis of failure times in the presence of competing risks.

Calibration plots for risk prediction models in the presence of competing risks.

Nomogram for survival analysis in the presence of competing risks.

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325

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scholarly article

editorial

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10.21037/ATM.2018.07.38

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English

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2018-08-01T00:00:00Z

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30364028

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6186983

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