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- W744501118 abstract "Statistical Methods outlined in [Ladbury, TNS20071 can be generalized for Monte Carlo Rate Calculation Methods Two Monte Carlo Approaches: a) Rate based on vendor-supplied (or reverse-engineered) model SEE testing and statistical analysis performed to validate model; b) Rate calculated based on model fit to SEE data Statistical analysis very similar to case for CREME96. Information Theory allows simultaneous consideration of multiple models with different complexities: a) Model with lowest AIC usually has greatest predictive power; b) Model averaging using AIC weights may give better performance if several models have similar good performance; and c) Rates can be bounded for a given confidence level over multiple models, as well as over the parameter space of a model." @default.
- W744501118 created "2016-06-24" @default.
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- W744501118 date "2008-04-16" @default.
- W744501118 modified "2023-09-27" @default.
- W744501118 title "SEE Rate Estimation: Model Complexity and Data Requirements" @default.
- W744501118 hasPublicationYear "2008" @default.
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