Connection

Yuko Palesch to Computer Simulation

This is a "connection" page, showing publications Yuko Palesch has written about Computer Simulation.
Connection Strength

0.592
  1. A surrogate-primary replacement algorithm for response-adaptive randomization in stroke clinical trials. Stat Methods Med Res. 2017 Jun; 26(3):1078-1092.
    View in: PubMed
    Score: 0.091
  2. Continuous covariate imbalance and conditional power for clinical trial interim analyses. Contemp Clin Trials. 2014 May; 38(1):9-18.
    View in: PubMed
    Score: 0.086
  3. Covariate imbalance and adjustment for logistic regression analysis of clinical trial data. J Biopharm Stat. 2013; 23(6):1383-402.
    View in: PubMed
    Score: 0.079
  4. Impact of safety monitoring on error probabilities of binary efficacy outcome analyses in large phase III group sequential trials. Pharm Stat. 2012 Jul-Aug; 11(4):310-7.
    View in: PubMed
    Score: 0.076
  5. Measuring continuous baseline covariate imbalances in clinical trial data. Stat Methods Med Res. 2015 Apr; 24(2):255-72.
    View in: PubMed
    Score: 0.072
  6. Quantitative comparison of randomization designs in sequential clinical trials based on treatment balance and allocation randomness. Pharm Stat. 2012 Jan-Feb; 11(1):39-48.
    View in: PubMed
    Score: 0.071
  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. Power of an Adaptive Trial Design for Endovascular Stroke Studies: Simulations Using IMS (Interventional Management of Stroke) III Data. Stroke. 2016 12; 47(12):2931-2937.
    View in: PubMed
    Score: 0.026
  9. Flexible analytical methods for adding a treatment arm mid-study to an ongoing clinical trial. J Biopharm Stat. 2012; 22(4):758-72.
    View in: PubMed
    Score: 0.018
  10. 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: 0.015
  11. Analysis of clustered matched-pair data for a non-inferiority study design. Stat Med. 2003 Jan 30; 22(2):279-90.
    View in: PubMed
    Score: 0.010
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.