Published in BMJ Open on April 07, 2017
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ (2009) 19.23
Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology (2010) 14.07
Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making (2006) 11.83
Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med (1979) 9.91
2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J (2013) 9.54
Low diagnostic yield of elective coronary angiography. N Engl J Med (2010) 9.38
Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol (2006) 7.83
2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. J Am Coll Cardiol (2011) 6.35
Standards of medical care for patients with diabetes mellitus. Diabetes Care (2003) 4.64
External validity of risk models: Use of benchmark values to disentangle a case-mix effect from incorrect coefficients. Am J Epidemiol (2010) 2.03
Estimating the likelihood of significant coronary artery disease. Am J Med (1983) 1.69
A clinical model to identify patients with high-risk coronary artery disease. JACC Cardiovasc Imaging (2015) 1.45
A new framework to enhance the interpretation of external validation studies of clinical prediction models. J Clin Epidemiol (2014) 1.44
Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J (2014) 1.44
A calibration hierarchy for risk models was defined: from utopia to empirical data. J Clin Epidemiol (2016) 1.17
Diagnostic research on routine care data: prospects and problems. J Clin Epidemiol (2003) 1.13
Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ (2012) 1.06
Multiple Imputation: A Flexible Tool for Handling Missing Data. JAMA (2015) 1.03
Prevalence and prediction of obstructive coronary artery disease in patients referred for valvular heart surgery. Am J Cardiol (2015) 0.91
Estimating renal function in older people: a comparison of three formulas. Age Ageing (2006) 0.88
High-density lipoprotein cholesterol, C-reactive protein, and prevalence and severity of coronary artery disease in 5641 consecutive patients undergoing coronary angiography. Eur J Clin Invest (2008) 0.86
Limitations of Chest Pain Categorization Models to Predict Coronary Artery Disease. Am J Cardiol (2015) 0.83
COURAGE 5 years on: the message grows stronger. Heart (2012) 0.78
In-Hospital Outcome Comparing Bivalirudin to Heparin in Real-World Primary Percutaneous Coronary Intervention. Am J Cardiol (2017) 0.75
Cost-effectiveness of percutaneous coronary intervention versus bypass surgery from a Dutch perspective. Heart (2015) 0.75
Genotyping of coeliac-specific human leucocyte antigen in children with type 1 diabetes: does this screening method make sense? Arch Dis Child (2016) 0.75