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Comparison of Random Forest and Stepwise Regression for Variable Selection Using Low Prevalence Predictors: A case Study in Paediatric Sepsis

open access: yes
Introduction Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on ...
Gibbons, Kristen S   +6 more
core   +1 more source

Longitudinal variable selection by cross-validation in the case of many covariates [PDF]

open access: yes
Longitudinal models are commonly used for studying data collected on individuals repeatedly through time. While there are now a variety of such models available (Marginal Models, Mixed Effects Models, etc.), far fewer options appear to exist for the ...
Eva Cantoni   +3 more
core  

Impact of CFTR modulator concentrations on clinical response in cystic fibrosis. [PDF]

open access: yesEur Respir J
Chalamalla AR   +10 more
europepmc   +1 more source

An Undergraduate Research Experience on Studying Variable Stars

open access: yes, 2016
We describe and evaluate a summer undergraduate research project and experience by one of us (AA), under the supervision of the other (JP). The aim of the project was to sample current approaches to analyzing variable star data, and topics related to the
Amaral, Ariel, Percy, John R.
core  

QUALITY AS A LATENT VARIABLE IN RECREATION ACCESS ANALYSIS

open access: yes
Recreation trends indicating an increasing demand for quality recreation experiences suggest the need for special consideration of quality in analysis of fee access recreation.
Gan, Christopher E.C.   +3 more
core  

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