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We built a multiple regression model that included a term for the detection-mode-by-tumour-size interaction.
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To give an indication of the relative importance of each index, the 2007 original formula data were used to build a multiple regression model with all six indices as predictors for Carr-Hill formula weighting.
We have not built a multiple linear regression model to determine the added predictive power of nursing assessments to other indicators of mortality.
Using two sets of public use SEER data reported with a lag time of three years apart, for patients diagnosed with prostate cancer from 1973 1996 (available in April 1999 [ 20]) and an updated dataset available in April 2002 [ 21], we built a multiple logistic regression model to predict the likelihood of a three year delay.
The method is mainly built on a multiple regression model that takes expression levels of multiple modulators as inputs and regulation strength between genes as output.
In order to build an accurate model, we propose a two-tier algorithm in our algorithm which builds a multiple linear regression model from a small set of simulated data.
MatrixREDUCE builds a multiple linear regression model originally developed by (Foat et al. 2005, 2006).
Based on a statistical model in a previous study (Equation 5 in [16]), a multiple regression model was built using SPSS 15 to test the slope and Ct differences between equimolar circular and linear DNA in each qPCR.
A multiple regression analysis was built with the EPC level as the dependent variable and sex hormone concentrations as explanatory variables to determine any independent associations.
A multiple regression model was built to assess how biochemical index, disease activity, and clinical assessments could predict the variation of hip BMD in AS patients.
A multiple regression model was built to assess how demographic and clinical variables and aerobic capacity could predict the variation in FVC% in the patient group.
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CEO of Professional Science Editing for Scientists @ prosciediting.com