Multivariable prediction of in-hospital mortality associated with aortic and mitral valve surgery in Northern New England.

[1]  F. Harrell,et al.  Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .

[2]  T. Kouchoukos Kirklin/Barratt-Boyes Cardiac Surgery , 2003 .

[3]  G. Miller Breaking Down Barriers , 2002, Science.

[4]  S. Nashef,et al.  Risk factors for early mortality after valve surgery in Europe in the 1990s: lessons from the EuroSCORE pilot program. , 2001, The Journal of heart valve disease.

[5]  E. Blackstone,et al.  Breaking down barriers: helpful breakthrough statistical methods you need to understand better. , 2001, The Journal of thoracic and cardiovascular surgery.

[6]  E. Hannan,et al.  Predictors of mortality for patients undergoing cardiac valve replacements in New York State. , 2000, The Annals of thoracic surgery.

[7]  N. Birkmeyer,et al.  Decreasing mortality for aortic and mitral valve surgery in Northern New England. Northern New England Cardiovascular Disease Study Group. , 2000, The Annals of thoracic surgery.

[8]  B. Lorell,et al.  Left ventricular hypertrophy: pathogenesis, detection, and prognosis. , 2000, Circulation.

[9]  F. Grover,et al.  Risk stratification for cardiac valve replacement. National Cardiac Surgery Database. Database Committee of The Society of Thoracic Surgeons. , 1999, The Annals of thoracic surgery.

[10]  E L Hannan,et al.  Identification of preoperative variables needed for risk adjustment of short-term mortality after coronary artery bypass graft surgery. The Working Group Panel on the Cooperative CABG Database Project. , 1996, Journal of the American College of Cardiology.

[11]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[12]  B. Carabello,et al.  The relationship of left ventricular geometry and hypertrophy to left ventricular function in valvular heart disease. , 1995, The Journal of heart valve disease.

[13]  M. Mack,et al.  Aortic valve replacement: determinants of operative mortality. , 1994, The Annals of thoracic surgery.

[14]  J. Wennberg,et al.  Multivariate Prediction of In‐Hospital Mortality Associated With Coronary Artery Bypass Graft Surgery , 1992 .

[15]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[16]  E. Hannan,et al.  Adult open heart surgery in New York State. An analysis of risk factors and hospital mortality rates. , 1990, JAMA.

[17]  F. Grover,et al.  Initial report of the Veterans Administration Preoperative Risk Assessment Study for Cardiac Surgery. , 1990, The Annals of thoracic surgery.

[18]  E. Blackstone,et al.  Risk factors for mortality after primary combined valvular and coronary artery surgery. , 1989, Circulation.

[19]  A. Bernstein,et al.  A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. , 1989, Circulation.

[20]  F. Loop,et al.  Primary isolated aortic valve replacement. Early and late results. , 1989, The Journal of thoracic and cardiovascular surgery.

[21]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[22]  Robert Tibshirani,et al.  Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy , 1986 .

[23]  L. Mickleborough,et al.  Morbidity and mortality in mitral valve surgery. , 1985, Circulation.

[24]  R. S. Mitchell,et al.  Determinants of operative mortality for patients undergoing aortic valve replacement. Discriminant analysis of 1,479 operations. , 1985, The Journal of thoracic and cardiovascular surgery.

[25]  A. Galloway,et al.  First report of the Port Access International Registry. , 1999, The Annals of thoracic surgery.

[26]  B. Carabello,et al.  Valvular Heart Disease , 2020, Clinical Small Animal Internal Medicine.

[27]  T. David,et al.  Predictors of operative survival after valve replacement. , 1988, Circulation.