0000000000414153

AUTHOR

Ewout W. Steyerberg

showing 2 related works from this author

Stratification for Identification of Prognostic Categories In the Acute RESpiratory Distress Syndrome (SPIRES) Score.

2021

OBJECTIVES: To develop a scoring model for stratifying patients with acute respiratory distress syndrome into risk categories (Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score) for early prediction of death in the ICU, independent of the underlying disease and cause of death. DESIGN: A development and validation study using clinical data from four prospective, multicenter, observational cohorts. SETTING: A network of multidisciplinary ICUs. PATIENTS: One-thousand three-hundred one patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN …

AdultMalemedicine.medical_specialtyOrgan Dysfunction ScoresPsychological interventionMEDLINECritical Care and Intensive Care MedicineLogistic regressionSeverity of Illness IndexstratificationInternal medicinemedicineHumansProspective StudiesCause of deathAPACHEclinical trialsRespiratory Distress SyndromeReceiver operating characteristicbusiness.industryphenotypesscoring systemacute respiratory distress syndromeMiddle AgedPrognosisRespiration ArtificialIntensive Care UnitsROC CurveSpainArea Under CurveCohortBreathingoutcomeObservational studyFemalebusinessCritical care medicine
researchProduct

Estrategias para la elaboración de modelos estadísticos de regresión

2011

Multivariable regression models are widely used in health science research, mainly for two purposes: prediction and effect estimation. Various strategies have been recommended when building a regression model: a) use the right statistical method that matches the structure of the data; b) ensure an appropriate sample size by limiting the number of variables according to the number of events; c) prevent or correct for model overfitting; d) be aware of the problems associated with automatic variable selection procedures (such as stepwise), and e) always assess the performance of the final model in regard to calibration and discrimination measures. If resources allow, validate the prediction mo…

Estimationbusiness.industryCalibration (statistics)Sample size determinationMultivariable calculusStatisticsMedicineRegression analysisFeature selectionOverfittingCardiology and Cardiovascular MedicinebusinessRegression diagnosticRevista Española de Cardiología
researchProduct