Arlene Ash to Models, Statistical
This is a "connection" page, showing publications Arlene Ash has written about Models, Statistical.
Connection Strength
0.674
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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: 0.142
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Zhang B, Liu W, Zhang N, Ash AS, Allison JJ. A collection of marginalized two-part random-effects models for analyzing medical expenditure panel data: Impact of the New Cooperative Medical Scheme on healthcare expenditures in China. Stat Methods Med Res. 2019 08; 28(8):2494-2523.
Score: 0.135
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Deng N, Allison JJ, Fang HJ, Ash AS, Ware JE. Using the bootstrap to establish statistical significance for relative validity comparisons among patient-reported outcome measures. Health Qual Life Outcomes. 2013 May 31; 11:89.
Score: 0.095
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Kronman AC, Freund KM, Hanchate A, Emanuel EJ, Ash AS. Nursing home residence confounds gender differences in Medicare utilization an example of Simpson's paradox. Womens Health Issues. 2010 Mar-Apr; 20(2):105-13.
Score: 0.076
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Yu W, Ellis RP, Ash A. Risk selection in the Massachusetts State employee health insurance program. Health Care Manag Sci. 2001 Dec; 4(4):281-7.
Score: 0.043
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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: 0.042
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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: 0.042
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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: 0.025
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Ash A, Schwartz M, Payne SM, Restuccia JD. The Self-Adapting Focused Review System. Probability sampling of medical records to monitor utilization and quality of care. Med Care. 1990 Nov; 28(11):1025-39.
Score: 0.020
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Pek?z EA, Shwartz M, Iezzoni LI, Ash AS, Posner MA, Restuccia JD. Comparing the importance of disease rate versus practice style variations in explaining differences in small area hospitalization rates for two respiratory conditions. Stat Med. 2003 May 30; 22(10):1775-86.
Score: 0.012
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Mesler DE, McCarthy EP, Byrne-Logan S, Ash AS, Moskowitz MA. Does the survival advantage of nonwhite dialysis patients persist after case mix adjustment? Am J Med. 1999 Mar; 106(3):300-6.
Score: 0.009
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Shwartz M, Iezzoni LI, Ash AS, Mackiernan YD. Do severity measures explain differences in length of hospital stay? The case of hip fracture. Health Serv Res. 1996 Oct; 31(4):365-85.
Score: 0.008
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Ghali WA, Hall RE, Rosen AK, Ash AS, Moskowitz MA. Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data. J Clin Epidemiol. 1996 Mar; 49(3):273-8.
Score: 0.007
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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.
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: 0.007
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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