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The oblique cutting geometry at each point on the drill lip is modelled using parametric curve equations.
Taking a competing risk approach, the cause-specific hazards of a first event are modelled using parametric survival analysis.
Household wealth and psychological impact, specified as continuous outcomes, will be modelled using parametric or non-parametric methods depending on the distributional characteristics of each outcome.
Usually such curves are modelled using parametric models with fixed or random coefficients, for example random regression models, Wood's Lactation Curve (the commonly applied gamma equations), Wilmink's Curve and Legendre polynomials.
Data are modelled using parametric distributions, which are subsequently truncated from both ends (to discard contaminants) in such a way as to preserve the mean of an underlying uncontaminated distribution.
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Data were analyzed using parametric and non-parametric statistical methods.
Parametric data will be evaluated using parametric testing.
Statistical significance was assessed using parametric bootstrapping.
NMR results were analysed using parametric Student t-test.
Analyses were conducted using parametric tests.
Data was analysed using descriptive statistics and using parametric and non-parametric tests of association.
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