Search results for "nonresponse"
showing 5 items of 5 documents
Therapy expectations and physical comorbidity affect quality of life in chronic hepatitis C virus infection.
2007
Summary. Hepatitis C virus (HCV) infection is associated with a significant reduction of health related quality of life (QOL), the causes and mechanisms of which are still unknown. To explore whether treatment history could affect QOL, we examined patients with detectable HCV viraemia who had a different therapeutic background. Two hundred sixty-four consecutive subjects with chronic HCV infection and detectable viraemia were enrolled. Of these, 163 were untreated patients, 43 were relapsers, 58 were nonresponders (NR) to nonpegylated interferon (IFN) therapy. To assess QOL, three self-report instruments were employed: the Short Form-36 (SF-36), the Chronic Liver Disease Questionnaire (CLD…
Estimating Engel curves under unit and item nonresponse
2010
SUMMARY This paper estimates food Engel curves using data from the first wave of the Survey on Health, Aging and Retirement in Europe (SHARE). Our statistical model simultaneously takes into account selectivity due to unit and item nonresponse, endogeneity problems, and issues related to flexible specification of the relationship of interest. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the unobservables in the model follow a multivariate Gaussian distribution, while the semiparametric specification avoids distributional assumptions about the unobservables. Copyright © 2011 John Wiley & Sons, Ltd.
Item nonresponse and imputation strategies in SHARE Wave 5
2015
This chapter focuses on item nonresponse in the fifth wave of SHARE and the imputation strategies adopted to fill-in the missing values.
WEIGHTS AND IMPUTATIONS
2019
This chapter provides a description of the weighting and imputation strategies used to address problems of unit nonresponse, sample attrition and item nonresponse in the seventh wave of SHARE.
Encuestas a pie de urna en España. ¿Error muestral o sesgo de no respuesta?
2016
Countless examples of misleading forecasts on behalf of both pre-election and exit polls can be found all over the world. Non-representative samples due to differential nonresponse have been claimed as being the main reason for inaccurate exit-poll projections. In real inference problems, it is seldom possible to compare estimates and true values. Electoral forecasts are an exception. Comparisons between estimates and final outcomes can be carried out once votes have been tallied. In this paper, we examine the raw data collected in seven exit polls conducted in Spain and test the likelihood that the data collected in each sampled voting location can be considered as a random sample of actua…