Now showing items 21-22 of 22

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      Use of generalised additive models to categorise continuous variables in clinical prediction 

      Barrio Beraza, Irantzu; Arostegui Madariaga, Inmaculada ORCID; Quintana López, José María; IRYSS-COPD Group (BioMed Central, 2013-06-26)
      Background: In medical practice many, essentially continuous, clinical parameters tend to be categorised by physicians for ease of decision-making. Indeed, categorisation is a common practice both in medical research and ...
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      Variable selection with LASSO regression for complex survey data 

      Iparragirre Letamendia, Amaia ORCID; Lumley, Thomas; Barrio Beraza, Irantzu; Arostegui Madariaga, Inmaculada ORCID (Wiley, 2023-12)
      Variable selection is an important step to end up with good prediction models. LASSO regression models are one of the most commonly used methods for this purpose, for which cross-validation is the most widely applied ...