Generalized modeling approaches to risk adjustment of skewed outcomes data

نویسندگان
چکیده

منابع مشابه

Generalized modeling approaches to risk adjustment of skewed outcomes data.

There are two broad classes of models used to address the econometric problems caused by skewness in data commonly encountered in health care applications: (1) transformation to deal with skewness (e.g., ordinary least square (OLS) on ln(y)); and (2) alternative weighting approaches based on exponential conditional models (ECM) and generalized linear model (GLM) approaches. In this paper, we en...

متن کامل

Validity of the risk adjustment approach to compare outcomes.

This paper focuses on the issue of the extent to which the present mainstream risk adjustment (RA) methodology for measuring outcomes is a valid and useful tool for quality-improvement activities. The method's predictive and attributional validity are discussed, considering the confounding and effect modification produced by medical care over risk variables' effect. For this purpose, the suffic...

متن کامل

modeling loss data by phase-type distribution

بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...

New approaches to operational risk modeling

Estimation of economic capital of a financial institution requires modeling of operational losses of the business units of the organization. Operational losses of the financial institution are usually represented as an aggregate sum of the losses incurred by the operational events of the business units. Simulation of these events requires the introduction of a co-dependence structure for a more...

متن کامل

Joint modeling of two longitudinal outcomes and competing risk data.

Aortic gradient and aortic regurgitation are echocardiographic markers of aortic valve function. Both are biomarkers repeatedly measured in patients with valve abnormalities, and thus, it is expected that they are biologically interrelated. Loss of follow-up could be caused by multiple reasons, including valve progression related, such as an intervention or even the death of the patient. In tha...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Health Economics

سال: 2005

ISSN: 0167-6296

DOI: 10.1016/j.jhealeco.2004.09.011