Arlene Ash to Predictive Value of Tests
This is a "connection" page, showing publications Arlene Ash has written about Predictive Value of Tests.
Connection Strength
0.256
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Rose AJ, Berlowitz DR, Miller DR, Hylek EM, Ozonoff A, Zhao S, Reisman JI, Ash AS. INR targets and site-level anticoagulation control: results from the Veterans AffaiRs Study to Improve Anticoagulation (VARIA). J Thromb Haemost. 2012 Apr; 10(4):590-5.
Score: 0.080
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Ash AS, Posner MA, Speckman J, Franco S, Yacht AC, Bramwell L. Using claims data to examine mortality trends following hospitalization for heart attack in Medicare. Health Serv Res. 2003 Oct; 38(5):1253-62.
Score: 0.044
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Epstein MM, Saphirak C, Zhou Y, LeBlanc C, Rosmarin AG, Ash A, Singh S, Fisher K, Birmann BM, Gurwitz JH. Identifying monoclonal gammopathy of undetermined significance in electronic health data. Pharmacoepidemiol Drug Saf. 2020 01; 29(1):69-76.
Score: 0.034
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Ash A, Shwartz M. R2: a useful measure of model performance when predicting a dichotomous outcome. Stat Med. 1999 Feb 28; 18(4):375-84.
Score: 0.032
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Berlowitz DR, Brandeis GH, Morris JN, Ash AS, Anderson JJ, Kader B, Moskowitz MA. Deriving a risk-adjustment model for pressure ulcer development using the Minimum Data Set. J Am Geriatr Soc. 2001 Jul; 49(7):866-71.
Score: 0.009
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Berlowitz DR, Brandeis GH, Anderson JJ, Ash AS, Kader B, Morris JN, Moskowitz MA. Evaluation of a risk-adjustment model for pressure ulcer development using the Minimum Data Set. J Am Geriatr Soc. 2001 Jul; 49(7):872-6.
Score: 0.009
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Rosen A, Wu J, Chang BH, Berlowitz D, Ash A, Moskowitz M. Does diagnostic information contribute to predicting functional decline in long-term care? Med Care. 2000 Jun; 38(6):647-59.
Score: 0.009
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Iezzoni LI, Ash AS, Shwartz M, Landon BE, Mackiernan YD. Predicting in-hospital deaths from coronary artery bypass graft surgery. Do different severity measures give different predictions? Med Care. 1998 Jan; 36(1):28-39.
Score: 0.007
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Iezzoni LI, Ash AS, Shwartz M, Daley J, Hughes JS, Mackiernan YD. Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method. Am J Public Health. 1996 Oct; 86(10):1379-87.
Score: 0.007
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Shwartz M, Iezzoni LI, Moskowitz MA, Ash AS, Sawitz E. The importance of comorbidities in explaining differences in patient costs. Med Care. 1996 Aug; 34(8):767-82.
Score: 0.007
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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.
Score: 0.006
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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.
Score: 0.006
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Iezzoni LI, Ash AS, Coffman GA, Moskowitz MA. Predicting in-hospital mortality. A comparison of severity measurement approaches. Med Care. 1992 Apr; 30(4):347-59.
Score: 0.005