Connection

Robert Woolson to Models, Statistical

This is a "connection" page, showing publications Robert Woolson has written about Models, Statistical.
Connection Strength

0.989
  1. Move over LOCF: principled methods for handling missing data in sleep disorder trials. Sleep Med. 2012 Feb; 13(2):123-32.
    View in: PubMed
    Score: 0.293
  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: 0.293
  3. Discriminant analysis using the unweighted sum of binary variables: a comparison of model selection methods. Stat Med. 1997 Dec 15; 16(23):2679-700.
    View in: PubMed
    Score: 0.111
  4. On the efficacy of the rank transformation in stepwise logistic and discriminant analysis. Stat Med. 1993 Jan 30; 12(2):143-51.
    View in: PubMed
    Score: 0.079
  5. 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: 0.059
  6. A rank-based sample size method for multiple outcomes in clinical trials. Stat Med. 2008 Jul 20; 27(16):3084-104.
    View in: PubMed
    Score: 0.058
  7. Applying a phase II futility study design to therapeutic stroke trials. Stroke. 2005 Nov; 36(11):2410-4.
    View in: PubMed
    Score: 0.048
  8. 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: 0.021
  9. A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation study. Subst Abuse Treat Prev Policy. 2008 Jun 03; 3:13.
    View in: PubMed
    Score: 0.014
  10. 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: 0.012
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.