Predictors and treatment response with cardiac resynchronization therapy in patients with heart failure characterized by dyssynchrony: a pre-defined analysis from the CARE-HF trial.
暂无分享,去创建一个
Nick Freemantle | Luigi Tavazzi | John G F Cleland | Matthew Richardson | Melanie J Calvert | N. Freemantle | L. Tavazzi | J. Cleland | M. Calvert | M. Richardson
[1] N. Freemantle,et al. Baseline echocardiographic characteristics of heart failure patients enrolled in a large European multicentre trial (CArdiac REsynchronisation Heart Failure study). , 2006, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.
[2] Patricia L. Smith. Splines as a Useful and Convenient Statistical Tool , 1979 .
[3] Elisa T. Lee,et al. Statistical Methods for Survival Data Analysis , 1994, IEEE Transactions on Reliability.
[4] J. Lewis,et al. Statistical principles for clinical trials (ICH E9): an introductory note on an international guideline. , 1999, Statistics in medicine.
[5] D. Poirier. Piecewise Regression Using Cubic Splines , 1973 .
[6] Theo Stijnen,et al. A goodness-of-fit test for Cox's proportional hazards model based on martingale residuals , 1998 .
[7] J. Cleland,et al. Is the prognosis of heart failure improving? , 1999, Journal of the American College of Cardiology.
[8] N Freemantle,et al. The CARE‐HF study (CArdiac REsynchronisation in Heart Failure study): rationale, design and end‐points , 2001, European journal of heart failure.
[9] F. Harrell,et al. Regression models for prognostic prediction: advantages, problems, and suggested solutions. , 1985, Cancer treatment reports.
[10] J. Daubert,et al. Do we have reasons to be enthusiastic about pacing to treat advanced heart failure? , 1999, European journal of heart failure.
[11] N. Freemantle,et al. Cardiac resynchronisation for patients with heart failure due to left ventricular systolic dysfunction — a systematic review and meta‐analysis , 2006, European journal of heart failure.
[12] D. Delurgio,et al. Cardiac resynchronization in chronic heart failure. , 2002, The New England journal of medicine.
[13] Elisa T. Lee,et al. Statistical Methods for Survival Data Analysis , 1994, IEEE Transactions on Reliability.
[14] P. V. Rao,et al. Applied Survival Analysis: Regression Modeling of Time to Event Data , 2000 .
[15] H. Akaike. A new look at the statistical model identification , 1974 .
[16] J. Spinelli,et al. Pacing for heart failure: selection of patients, techniques and benefits , 1999, European journal of heart failure.
[17] D. DeMets,et al. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. , 2004, The New England journal of medicine.
[18] Milton Packer,et al. Cardiac resynchronization in chronic heart failure. , 2002, The New England journal of medicine.
[19] J. Sterne,et al. Development and validation of a prognostic model for survival time data: application to prognosis of HIV positive patients treated with antiretroviral therapy , 2004, Statistics in medicine.
[20] P Royston,et al. Choice of scale for cubic smoothing spline models in medical applications. , 2000, Statistics in medicine.
[21] A. Dobson,et al. How well does B-type natriuretic peptide predict death and cardiac events in patients with heart failure: systematic review , 2005, BMJ : British Medical Journal.
[22] Daniel B. Mark,et al. TUTORIAL IN BIOSTATISTICS MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS , 1996 .
[23] Frank E. Harrell,et al. The restricted cubic spline hazard model , 1990 .
[24] J. Daubert,et al. The effect of cardiac resynchronization on morbidity and mortality in heart failure. , 2005, The New England journal of medicine.
[25] I. W. Wright. Splines in Statistics , 1983 .
[26] Paolo Rizzon,et al. Ventricular asynchrony predicts a better outcome in patients with chronic heart failure receiving cardiac resynchronization therapy. , 2005, Journal of the American College of Cardiology.
[27] Catherine Klersy,et al. Interventricular and intraventricular dyssynchrony are common in heart failure patients, regardless of QRS duration. , 2004, European heart journal.
[28] D. Gibson,et al. Differing effects of right ventricular pacing and left bundle branch block on left ventricular function. , 1993, British heart journal.
[29] Patrick Royston,et al. Simplifying a prognostic model: a simulation study based on clinical data , 2002, Statistics in medicine.
[30] D. Barnett,et al. Plasma N-terminal pro-brain natriuretic peptide and the ECG in the assessment of left-ventricular systolic dysfunction in a high risk population. , 1999, European heart journal.
[31] P. Grambsch,et al. Martingale-based residuals for survival models , 1990 .
[32] Bristow. Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) : Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure , 2004 .
[33] John O'Quigley,et al. Statistical methods for survival data analysis. (2nd edition). Elisa Lee, John Wiley, New York, 1992. no. of pages: XII + 482. price: £47.50. ISBN: 0-471-61592-7 , 1994 .