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Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumorsMulticentre external validation of IOTA prediction models and RMI by operators with varied training.Screening for data clustering in multicenter studies: the residual intraclass correlation.A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data.Doctors' experiences and their perception of the most stressful aspects of complaints processes in the UK: an analysis of qualitative survey data.Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study.Validation of the Performance of International Ovarian Tumor Analysis (IOTA) Methods in the Diagnosis of Early Stage Ovarian Cancer in a Non-Screening Population.The impact of complaints procedures on the welfare, health and clinical practise of 7926 doctors in the UK: a cross-sectional surveyClinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis.Key steps and common pitfalls in developing and validating risk models.Does the presence of a Caesarean section scar affect implantation site and early pregnancy outcome in women attending an early pregnancy assessment unit?Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group.Reply: To PMID 23371440.Doctors' perception of support and the processes involved in complaints investigations and how these relate to welfare and defensive practice: a cross-sectional survey of the UK physicians.Random-effects meta-analysis of the clinical utility of tests and prediction models.Reporting and Interpreting Decision Curve Analysis: A Guide for InvestigatorsUntapped potential of multicenter studies: a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reportingRisk of complications in patients with conservatively managed ovarian tumours (IOTA5): a 2-year interim analysis of a multicentre, prospective, cohort studyEfficient use of pure component and interferent spectra in multivariate calibrationSystematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infectionCORRECTIONThree myths about risk thresholds for prediction modelsChanging predictor measurement procedures affected the performance of prediction models in clinical examplesPrediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisalCalibration: the Achilles heel of predictive analyticsPredictive analytics in health care: how can we know it works?Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation studyValidation of ultrasound strategies to assess tumor extension and to predict high-risk endometrial cancer in women from the prospective IETA (International Endometrial Tumor Analysis)-4 cohort
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description
investigador
@es
researcher
@en
name
Laure Wynants
@en
type
label
Laure Wynants
@en
prefLabel
Laure Wynants
@en
P31
P496
0000-0002-3037-122X