1982
DOI: 10.1097/00005650-198209000-00008
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Regression Analysis in Health Services Research: The Use of Dummy Variables

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Cited by 86 publications
(38 citation statements)
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“…To assess the dependence of v p and K trans on histologic variables, a multiple regression analysis was performed. The F test from analysis of variance tables of two nested regression models was used to compare a model with one predictor variable (eg, K trans vs macrophages) with a model with an additional predictor variable (eg, K trans vs macrophages and necrotic core) (26). The null hypothesis of the F test in this example is that, when controlling for macrophage content, an additional histologic variable (eg, loose matrix) does not independently add to the prediction of K trans .…”
Section: Discussionmentioning
confidence: 99%
“…To assess the dependence of v p and K trans on histologic variables, a multiple regression analysis was performed. The F test from analysis of variance tables of two nested regression models was used to compare a model with one predictor variable (eg, K trans vs macrophages) with a model with an additional predictor variable (eg, K trans vs macrophages and necrotic core) (26). The null hypothesis of the F test in this example is that, when controlling for macrophage content, an additional histologic variable (eg, loose matrix) does not independently add to the prediction of K trans .…”
Section: Discussionmentioning
confidence: 99%
“…The different definitions of complex karyotype coded in a variable with k-categories were transformed into k-1 dummy variables and added to the model. 15 All P values were 2-sided, and values less than .05 were considered statistically significant. Statistical analysis was performed using SPSS for Windows Version 15.0.1.…”
Section: Methodsmentioning
confidence: 99%
“…Two levels of prior comparisons were used. The first level tested for the presence of a linear (monotonically increasing or decreasing) trend within the four treatment phases of the study (two IL-2 and two offdrug) (45,46). In the second level, paired comparisons for differences among treatments were conducted, each averaging across the 5 d of observations within a treatment phase.…”
Section: Methodsmentioning
confidence: 99%