Defining and estimating the reliability of physician quality measures in hierarchical logistic regression models-Reference-Cited by-同舟云学术

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Defining and estimating the reliability of physician quality measures in hierarchical logistic regression models

Published:2020-11-09 Issue:1 Volume:21 Page:111-130
ISSN:1387-3741
Container-title:Health Services and Outcomes Research Methodology
language:en
Short-container-title:Health Serv Outcomes Res Method

Author:

Hwang Jessica,Adams John L.,Paddock Susan M.

Funder

Agency for Healthcare Research and Quality

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

http://link.springer.com/content/pdf/10.1007/s10742-020-00226-4.pdf

Reference22 articles.

1. Adams, J.L.: The reliability of provider profiling: a tutorial. Tech. Rep. TR-653-NCQA, RAND Corporation (2009)

2. Bobak, C.A., Barr, P.J., O’Malley, A.J.: Estimation of an inter-rater intra-class correlation coefficient that overcomes common assumption violations in the assessment of health measurement scales. BMC Med. Res. Methodol. 18(1), 93 (2018). https://doi.org/10.1093/tbm/ibx014

3. Browne, W.J., Subramanian, S.V., Jones, K., Goldstein, H.: Variance partitioning in multilevel logistic models that exhibit overdispersion. J. R. Stat. Soc. Ser. A 168(3), 599–613 (2005)

4. Elliott, M.N., Lehrman, W.G., Goldstein, E.H., Hambarsoomian, K., Beckett, M.K., Giordano, L.A.: Do hospitals rank differently on HCAHPS for different patient subgroups? Med. Care Res. Rev. 67(1), 56–73 (2010)

5. Goldstein, H., Browne, W., Rasbash, J.: Partitioning variation in multilevel models. Underst. Stat. 1(4), 223–231 (2002)

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