about
No rationale for 1 variable per 10 events criterion for binary logistic regression analysis.Latent class models in diagnostic studies when there is no reference standard--a systematic review.Diagnostic Test Accuracy in Childhood Pulmonary Tuberculosis: A Bayesian Latent Class Analysis.Efficient sampling in unmatched case-control studies when the total number of cases and controls is fixed.Validation study of the SCREENIVF: an instrument to screen women or men on risk for emotional maladjustment before the start of a fertility treatment.Response Adjusted for Days of Antibiotic Risk (RADAR): evaluation of a novel method to compare strategies to optimize antibiotic use.Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown.Evaluating diagnostic accuracy in the face of multiple reference standards.Series: Pragmatic trials and real world evidence: Paper 6. Outcome measures in the real world.Towards an appropriate framework to facilitate responsible inclusion of pregnant women in drug development programs.Concerns about composite reference standards in diagnostic research.Random measurement error: Why worry? An example of cardiovascular risk factors.Measurement error is often neglected in medical literature: a systematic review.Value of composite reference standards in diagnostic research.A generic nomogram for multinomial prediction models: theory and guidance for constructionAdjustment for unmeasured confounding through informative priors for the confounder-outcome relationSample size considerations and predictive performance of multinomial logistic prediction modelsMachine Learning Compared With Pathologist AssessmentSystematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infectionResponse to the commentary on "A nomogram was developed to enhance the use of multinomial logistic regression modelling in diagnostic research"Event rate net reclassification index and the integrated discrimination improvement for studying incremental value of risk markersSample size for binary logistic prediction models: Beyond events per variable criteria[Big, bigger, biggest; big data in medical research]Challenges in measuring interprofessional-interorganisational collaboration with a questionnaireComparability of treatment arms does not prevent correlated trial resultsHow variation in predictor measurement affects the discriminative ability and transportability of a prediction modelPrediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisalPredicting 1-Year Mortality in Older Hospitalized Patients: External Validation of the HOMR ModelProtect pregnant women by including them in clinical researchCalibration: the Achilles heel of predictive analyticsImpact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspectiveForcing dichotomous disease classification from reference standards leads to bias in diagnostic accuracy estimates: A simulation studyMeasurement error in continuous endpoints in randomised trials: Problems and solutionsRegression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study
P50
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P50
description
researcher, Leiden University Medical Center
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P106
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55580255200
P2002
MaartenvSmeden
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P31
P496
0000-0002-5529-1541