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A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data

Journal of clinical epidemiology, 2015-12, Vol.68 (12), p.1406-1414

2015

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SP-005: The TRIPOD guideline

Radiotherapy and oncology, 2017-03, Vol.122, p.6-6

Moons, K.G.M

2017

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Validation, updating and impact of clinical prediction rules: A review

Journal of clinical epidemiology, 2008-11, Vol.61 (11), p.1085-1094

2008

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Diagnostic and prognostic prediction models

Journal of thrombosis and haemostasis, 2013-06, Vol.11, p.129-141

2013

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Updating methods improved the performance of a clinical prediction model in new patients

Journal of clinical epidemiology, 2008, Vol.61 (1), p.76-86

2008

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Impact of adding therapeutic recommendations to risk assessments from a prediction model for postoperative nausea and vomiting

British journal of anaesthesia : BJA, 2015-02, Vol.114 (2), p.252-260

2015

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Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example

Journal of clinical epidemiology, 2004-12, Vol.57 (12), p.1262-1270

2004

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Polytomous logistic regression analysis could be applied more often in diagnostic research

Journal of clinical epidemiology, 2008-02, Vol.61 (2), p.125-134

2008

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Patient selection for cardiac surgery: Time to consider subgroups within risk categories?

International journal of cardiology, 2016-01, Vol.203, p.1103-1108

2016

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Systematic review: Diagnostic accuracy of clinical decision rules for venous thromboembolism in elderly

Ageing research reviews, 2011-04, Vol.10 (2), p.304-313

2011

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General and Abdominal Adiposity and Risk of Death in Europe

The New England journal of medicine, 2008-11, Vol.359 (20), p.2105-2120

2008

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Explicit inclusion of treatment in prognostic modelling was recommended in observational and randomised settings

Journal of clinical epidemiology, 2016-10, Vol.78, p.90-100

2016

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Predictive performance of the CHA2DS2‐VASc rule in atrial fibrillation: a systematic review and meta‐analysis

Journal of thrombosis and haemostasis, 2017-06, Vol.15 (6), p.1065-1077

2017

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P5333The framingham risk score and the pooled cohort equations over-predict risk in women with hypertensive disorders of pregnancy, which is solved by updating the models

European heart journal, 2017-08, Vol.38 (suppl_1)

2017

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FOLLOWPACE study: a prospective study on the cost-effectiveness of routine follow-up visits in patients with a pacemaker

Europace (London, England), 2006-01, Vol.8 (1), p.60-64

2006

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Predicting major outcomes in type 1 diabetes: a model development and validation study

Diabetologia, 2014-11, Vol.57 (11), p.2304-2314

2014

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Effectiveness of CHA2DS2-VASc based decision support on stroke prevention in atrial fibrillation: A cluster randomised trial in general practice

International journal of cardiology, 2018-12, Vol.273, p.123-129

2018

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External validation is necessary in prediction research:: A clinical example

Journal of clinical epidemiology, 2003-09, Vol.56 (9), p.826-832

2003

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Preoperative prediction of severe postoperative pain

Pain (Amsterdam), 2003-10, Vol.105 (3), p.415-423

2003

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Qualitative point‐of‐care D‐dimer testing compared with quantitative D‐dimer testing in excluding pulmonary embolism in primary care

Journal of thrombosis and haemostasis, 2015-06, Vol.13 (6), p.1004-1009

2015

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External validation is necessary in prediction research

Journal of clinical epidemiology, 2003-09, Vol.56 (9), p.826-832

2003

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Progression to microalbuminuria in type 1 diabetes: development and validation of a prediction rule

Diabetologia, 2010-02, Vol.53 (2), p.254-262

2010

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Diagnostic performance of rapid tests for detection of fecal calprotectin and lactoferrin and their ability to discriminate inflammatory from irritable bowel syndrome

Clinical chemistry and laboratory medicine, 2008-09, Vol.46 (9), p.1275-1280

2008

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Cost‐effectiveness of ruling out deep venous thrombosis in primary care versus care as usual

Journal of thrombosis and haemostasis, 2009-12, Vol.7 (12), p.2042-2049

2009

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Estimating the mediating effect of different biomarkers on the relation of alcohol consumption with the risk of type 2 diabetes

Annals of epidemiology, 2013-04, Vol.23 (4), p.193-197

2013

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A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data

SP-005: The TRIPOD guideline

Validation, updating and impact of clinical prediction rules: A review

Diagnostic and prognostic prediction models

Updating methods improved the performance of a clinical prediction model in new patients

Impact of adding therapeutic recommendations to risk assessments from a prediction model for postoperative nausea and vomiting

Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example

Polytomous logistic regression analysis could be applied more often in diagnostic research

Patient selection for cardiac surgery: Time to consider subgroups within risk categories?

Systematic review: Diagnostic accuracy of clinical decision rules for venous thromboembolism in elderly

General and Abdominal Adiposity and Risk of Death in Europe

Explicit inclusion of treatment in prognostic modelling was recommended in observational and randomised settings

Predictive performance of the CHA2DS2‐VASc rule in atrial fibrillation: a systematic review and meta‐analysis

P5333The framingham risk score and the pooled cohort equations over-predict risk in women with hypertensive disorders of pregnancy, which is solved by updating the models

FOLLOWPACE study: a prospective study on the cost-effectiveness of routine follow-up visits in patients with a pacemaker

Predicting major outcomes in type 1 diabetes: a model development and validation study

Effectiveness of CHA2DS2-VASc based decision support on stroke prevention in atrial fibrillation: A cluster randomised trial in general practice

External validation is necessary in prediction research:: A clinical example

Preoperative prediction of severe postoperative pain

Qualitative point‐of‐care D‐dimer testing compared with quantitative D‐dimer testing in excluding pulmonary embolism in primary care

External validation is necessary in prediction research

Progression to microalbuminuria in type 1 diabetes: development and validation of a prediction rule

Diagnostic performance of rapid tests for detection of fecal calprotectin and lactoferrin and their ability to discriminate inflammatory from irritable bowel syndrome

Cost‐effectiveness of ruling out deep venous thrombosis in primary care versus care as usual

Estimating the mediating effect of different biomarkers on the relation of alcohol consumption with the risk of type 2 diabetes

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