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One of the most useful parametric models in detecting trends is the 'simple linear regression' model.
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The two most used parametric forms for c X are elliptical and Archimedean [22, 30].
Non-parametric tests are most useful for small studies.
Ultimately, using the full model-based time course (i.e. tumour(t)) as a continuous predictor of survival in parametric TTE models is most useful for simulations of different scenarios since all information contained in the tumour profiles is retained.
In their capacity as alternatives to t-tests, non-parametric tests are thereby most useful when the sample size is small.
However, most studies using parametric mapping have failed to report a difference in SN.
The most commonly used parametric model to express spatial dependence is the conditional autoregressive model (CAR).
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