HM4 HOW ROBUST IS COST-EFFECTIVENESS RATIO TO MISSING DATA IMPUTATION? ANALYSIS OF LONG-TERM CLINICAL TRIAL IN PARKINSONS DISEASE
نویسندگان
چکیده
منابع مشابه
Missing data imputation in multivariable time series data
Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...
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Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and i...
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BACKGROUND Cost-effectiveness has become an important outcome in many clinical trials and has resulted in the collection of resource use data and the calculation of costs for individual patients. A specific example is a Cancer Research UK phase III trial comparing chemotherapy (CT) against standard palliative care in patients with advanced non-small cell lung cancer. Resource usage from trial e...
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In the context of archiving of physical documents, long-term storage has long been accepted to mean centuries. Digital documents are much more ephemeral, so archivists should be aware of the inherent limitations of the technologies available for preservation of digital data. This paper compiles the results of several studies on this subject, in addition to presenting new findings on what can be...
متن کاملHandling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations
Cost-effectiveness analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly designed to collect resource use and preference-based health status data for the purpose of healthcare technology assessment. However, because of the way these measures are collected, they are prone to missing data, which can ultimately affect the decision of whether an intervention is good value f...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2004
ISSN: 1098-3015
DOI: 10.1016/s1098-3015(10)62089-x