Connection

Michael Gold to Logistic Models

This is a "connection" page, showing publications Michael Gold has written about Logistic Models.
Connection Strength

0.228
  1. Plasma profiles of matrix metalloproteinases and tissue inhibitors of the metalloproteinases predict recurrence of atrial fibrillation following cardioversion. J Cardiovasc Transl Res. 2013 Aug; 6(4):528-35.
    View in: PubMed
    Score: 0.080
  2. Clinical predictors and efficacy of antitachycardia pacing in patients with implantable cardioverter defibrillators: the importance of the patient's sex. Pacing Clin Electrophysiol. 2001 Jan; 24(1):70-4.
    View in: PubMed
    Score: 0.034
  3. Precision Medicine for Cardiac Resynchronization: Predicting Quality of Life Benefits for Individual Patients-An Analysis From 5 Clinical Trials. Circ Heart Fail. 2017 Oct; 10(10).
    View in: PubMed
    Score: 0.027
  4. Clinical predictors of transvenous defibrillation energy requirements. Am J Cardiol. 1997 Jan 15; 79(2):150-3.
    View in: PubMed
    Score: 0.026
  5. Image Quality of Cardiac Magnetic Resonance Imaging in Patients With an Implantable Cardioverter Defibrillator System Designed for the Magnetic Resonance Imaging Environment. Circ Cardiovasc Imaging. 2016 May; 9(5).
    View in: PubMed
    Score: 0.025
  6. Novel measure of electrical dyssynchrony predicts response in cardiac resynchronization therapy: Results from the SMART-AV Trial. Heart Rhythm. 2015 Dec; 12(12):2402-10.
    View in: PubMed
    Score: 0.023
  7. The -491A/T apolipoprotein E promoter polymorphism association with Alzheimer's disease: independent risk and linkage disequilibrium with the known APOE polymorphism. Neurosci Lett. 1998 Aug 14; 252(2):95-8.
    View in: PubMed
    Score: 0.007
  8. No association between the very low density lipoprotein receptor gene and late-onset Alzheimer's disease nor interaction with the apolipoprotein E gene in population-based and clinic samples. Genet Epidemiol. 1997; 14(3):299-305.
    View in: PubMed
    Score: 0.006
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.