Header Logo

Connection

Arlene Ash to Data Interpretation, Statistical

This is a "connection" page, showing publications Arlene Ash has written about Data Interpretation, Statistical.
Connection Strength

0.252
  1. Ash A. Identifying poor-quality hospitals with mortality rates. Often there's more noise than signal. Med Care. 1996 Aug; 34(8):735-6.
    View in: PubMed
    Score: 0.125
  2. Berlowitz DR, Brandeis GH, Brand HK, Halpern J, Ash AS, Moskowitz MA. Evaluating pressure ulcer occurrence in long-term care: pitfalls in interpreting administrative data. J Clin Epidemiol. 1996 Mar; 49(3):289-92.
    View in: PubMed
    Score: 0.030
  3. Ash A. The design and analysis of hospital utilization studies. Int J Qual Health Care. 1995 Sep; 7(3):245-52.
    View in: PubMed
    Score: 0.029
  4. Iezzoni LI, Shwartz M, Ash AS, Mackiernan Y, Hotchkin EK. Risk adjustment methods can affect perceptions of outcomes. Am J Med Qual. 1994; 9(2):43-8.
    View in: PubMed
    Score: 0.026
  5. Virnig BA, Ash A, Kind S, Mesler DE. Survival analysis using Medicare data: example and methods. Health Serv Res. 2000 Dec; 35(5 Pt 3):86-101.
    View in: PubMed
    Score: 0.011
  6. Berlowitz DR, Anderson JJ, Ash AS, Brandeis GH, Brand HK, Moskowitz MA. Reducing random variation in reported rates of pressure ulcer development. Med Care. 1998 Jun; 36(6):818-25.
    View in: PubMed
    Score: 0.009
  7. Hall RE, Ash AS, Ghali WA, Moskowitz MA. Hospital cost of complications associated with coronary artery bypass graft surgery. Am J Cardiol. 1997 Jun 15; 79(12):1680-2.
    View in: PubMed
    Score: 0.008
  8. Shwartz M, Klimberg RK, Karp M, Iezzoni LI, Ash AS, Heineke J, Payne SM, Restuccia JD. An integer programming model to limit hospital selection in studies with repeated sampling. Health Serv Res. 1995 Jun; 30(2):359-76.
    View in: PubMed
    Score: 0.007
  9. Rosen AK, Ash AS, McNiff KJ, Moskowitz MA. The importance of severity of illness adjustment in predicting adverse outcomes in the Medicare population. J Clin Epidemiol. 1995 May; 48(5):631-43.
    View in: PubMed
    Score: 0.007
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.