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Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access
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Biostatistics - Journals

Biostatistics (or biometrics) deals with statistical processes and methods applied to the analysis of biological phenomena. The science of biostatistics integrates the design of biological experiments and the interpretation of the collection, synthesis and analysis of data from these experiments.

Monitoring the performance of health care providers, such as patient deaths, hospitalizations and hospital readmissions, helps to assess the quality of health care. We consider a large database of patients treated in dialysis centers in the United States and the problem of identifying centers with better or worse results than expected. The analyzes of these data are generally based on random or fixed effects on the installations, which have gaps which can lead to unfair assessments. A main problem is that they do not adequately take into account variations between providers that are outside providers' control due, for example, to unobserved patient characteristics that vary from provider to provider. In this article, we propose a smoothed null empirical approach which takes into account the total variation and adapts to the different sizes of suppliers. The linear model provides an illustration that easily extends to other non-linear models for survival or binary results, for example. The null empirical method is generalized to allow a certain variation due to the quality of care. These methods are examined using numerical simulations and applied to monitoring survival in data from dialysis facilities.

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Citations: 3496

Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report

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