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A multiple regression model was also used with response to treatment as dependent variable.
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The single question: "Do you think that your life is meaningful at the moment?" was used with response alternatives ranging from 1 "To the highest degree meaningful" to 5 "without meaning".
A four-point scale was used, with response alternatives ranging from very dissatisfied (= 1) to very satisfied (= 4).
They were also asked about the frequency analgesic medications were used, with response options being "Never," "1 9 days/month," and "10 days/month or more often".
The Likert scale version of the scale is used with response options none, mild, moderate, severe, extreme.
A five-point, Likert-type response scale was used with response options of: not at all/never, slightly/seldom, moderately/quite often, very/very often, extremely/always.
Again a multivariate logistic regression model was used with response status as the dependent variable and above mentioned baseline characteristics as independent variables.
For quantitative analysis of TS and TP in terms of the extent of positive staining, the ANOVA test was used with response.
Percent mortality data of the RIL population were used to identify QTLs associated with response to infection under field conditions and lesion severity ratings of the RILs were used to identify loci for response to infection under greenhouse conditions.
Gene expression profiles were used to identify genes associated with response to PD 0332991.
Large-scale RNA expression profiling has been used to find genes associated with response to chemotherapy (Spentzos et al, 2005; Bild et al, 2006; Lage and Denkert, 2007) or prognosis (Spentzos et al, 2004; Hartmann et al, 2005; Bonome et al, 2008) in ovarian carcinomas.
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