Connection

Robert Woolson to Data Interpretation, Statistical

This is a "connection" page, showing publications Robert Woolson has written about Data Interpretation, Statistical.
  1. Challenges of decision making regarding futility in a randomized trial: the Interventional Management of Stroke III experience. Stroke. 2014 May; 45(5):1408-14.
    View in: PubMed
    Score: 0.098
  2. Slope estimation for informatively right censored longitudinal data modelling the number of observations using geometric and Poisson distributions: application to renal transplant cohort. Stat Methods Med Res. 2015 Dec; 24(6):819-35.
    View in: PubMed
    Score: 0.083
  3. Using global statistical tests in long-term Parkinson's disease clinical trials. Mov Disord. 2009 Sep 15; 24(12):1732-9.
    View in: PubMed
    Score: 0.071
  4. The impact of loss to follow-up on hypothesis tests of the treatment effect for several statistical methods in substance abuse clinical trials. J Subst Abuse Treat. 2009 Jul; 37(1):54-63.
    View in: PubMed
    Score: 0.067
  5. Clinical hypertension research tools: the randomized controlled clinical trial. J Clin Hypertens (Greenwich). 2006 Jun; 8(6):427-31; quiz 432-3.
    View in: PubMed
    Score: 0.057
  6. Effects of errors in a multicenter medical study: preventing misinterpreted data. J Psychiatr Res. 1994 Sep-Oct; 28(5):447-59.
    View in: PubMed
    Score: 0.025
  7. Adjusting O'Brien's test to control type I error for the generalized nonparametric Behrens-Fisher problem. Biometrics. 2005 Jun; 61(2):532-9.
    View in: PubMed
    Score: 0.013
  8. A comparison of two methods of estimating a common risk difference in a stratified analysis of a multicenter clinical trial. Control Clin Trials. 1994 Apr; 15(2):135-53.
    View in: PubMed
    Score: 0.006
  9. Slope estimation in the presence of informative right censoring: modeling the number of observations as a geometric random variable. Biometrics. 1994 Mar; 50(1):39-50.
    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.