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Exact(10)
Including a population mean PLAC did not significantly improve the model fit, so this parameter was fixed to zero.
We know that β2 = 0 MAR) generally provides a stable model fit so we anticipate that this will also be so for alternative fixed values of β2.
However, it is realistic to expect that this approach will be less optimal in terms of model fit, so we did not attempt to include this dependency scheme.
Including the Hill coefficient (GAM) (see Eq. 4) in the model did not significantly improve the model fit, so GAM was fixed to one.
Including the Hill coefficient (GAM) in the model did not significantly improve the model fit, so GAM was fixed to 1.
Although its interaction with public holidays was not statistically significant, the interaction improved model fit so it was retained in the baseline weather model.
Similar(50)
We restricted the feature type to hinge features as this produces smoother model fits, so forcing models to be more focused on key trends rather than potential idiosyncrasy in the data, which would hamper extrapolation to a different time or place [ 54].
Despite our reservations about the full MNAR model fit being so fragile, we also fitted this model by numerically maximising the log-likelihood (3).
The estimation of the full selection model using the log-likelihood (3) is generally discouraged because the model fit is so fragile; it is highly dependent on distributional assumptions and is sensitive to outlying or unusual observations [ 21].
§Smoking behaviour, diabetes, and BMI (all related to deprivation) added as additional candidate explanatory variables, although smoking behaviour did not improve model fit and so was excluded in stepwise selection process.
The models were fit so as to maximize LLE for each subject individually using a simplex method.
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