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Empirical methods for the validation of Time-To-Event mathematical models taking into account uncertainty and variability: Application to EGFR+ Lung Adenocarcinoma

2022-09-12

Abstract excerpt

<h4>Background</h4> Over the past several decades, metrics have been defined to assess the quality of various types of models and to compare their performance depending on their capacity to explain the variance found in real-life data. However, available validation methods are mostly designed for statistical regressions rather than for mechanistic models. To our knowledge, in the latter case, there are no consens...

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Literature Corpus work
98c729a0-ddba-58d1-bcb7-9c577ef985b2
DOI
10.1101/2022.09.08.507079
Open publication

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Empirical methods for the validation of Time-To-Event mathematical models taking into account uncertainty and variability: Application to EGFR+ Lung AdenocarcinomaDOI 10.1101/2022.09.08.507079
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