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Subjective Data (subjective + data)
Selected AbstractsProtective effect of alpha-tocopherol in head and neck cancer radiation-induced mucositis: A double-blind randomized trial,,HEAD & NECK: JOURNAL FOR THE SCIENCES & SPECIALTIES OF THE HEAD AND NECK, Issue 4 2004Paulo Renato Ferreira MD Abstract Background. the study was designed to test whether vitamin E (VE) provides oral mucosal protection in patients with irradiated cancers of the head and neck. Methods. Fifty-four patients with cancer of the oral cavity and oropharynx were randomly assigned to rinse the oral cavity in an oil solution containing either VE or placebo before every conventional fraction of 2 Gy and again 8 to 12 hours later during the 5 to 7 weeks of radiotherapy (RT). Results. Thirty-six events/167 patient-weeks (21.6%) and 54 events/161 patient-weeks (33.5%) of symptomatic mucositis were observed in VE and placebo groups, respectively (p = .038). VE reduced the risk by 36%. Subjective data at the end of the treatment revealed that VE decreased pain grades 2 to 3 during RT (3 of 28 patients vs 14 of 26 patients, p = .0001). No significant influence was detected in survival. Conclusion. VE decreased the incidence of symptomatic oral radio-induced mucositis in patients with cancer of the oropharynx and oral cavity. © 2004 Wiley Periodicals, Inc. Head Neck26: XXX,XXX, 2004 [source] Testing for an economic gradient in health status using subjective dataHEALTH ECONOMICS, Issue 11 2008Michael Lokshin Abstract Can self-assessments of health reveal the true health differentials between ,rich' and ,poor'? The potential sources of bias include psychological adaptation to ill-health, socioeconomic covariates of health reporting errors and income measurement errors. We propose an estimation method to reduce the bias by isolating the component of self-assessed health that is explicable in terms of objective health indicators and allowing for broader dimensions of economic welfare than captured by current incomes. On applying our method to survey data for Russia we find a pronounced (nonlinear) economic gradient in health status that is not evident in the raw data. This is largely attributable to the health effects of age, education and location. Copyright © 2008 John Wiley & Sons, Ltd. [source] Income distribution and well-being: what can we learn from subjective data?JOURNAL OF ECONOMIC SURVEYS, Issue 1 2005Claudia Senik Abstract., How does the income of others affect my own welfare? This survey of the empirical literature stresses the contribution of subjective data to the understanding of this issue, with an attempt to disentangle direct effects (preference interdependence) from indirect informational effects. It shows that perceived mobility is central to the link between other people's income and individual satisfaction, as it determines individual opportunities and risks. Agents also appreciate the egalitarian nature of mobility itself, so that individual welfare depends on dynamic inequality rather than static income distribution. These studies illustrate how subjective data can bring information on aspects of utility and social interactions that are beyond the scope of the method based on action-revealed preferences. [source] | ||||||||||