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The chances for forest classes to be affected by shallow landslides were estimated to be considerably lower whenever topographic predictors were as well included in the model.
The subsidiary questions are: will all these "brightness" predictors be as efficient for all studies?
The predictors were as follows: friends in classroom, PISA score in 2009 PISA20099), economic social and cultural status of family (ESCS), living in the country (COUNT), type of school (VOC vocational with comprehensive program; BVOC basic vocational school) and gender (FEMALE).
Coding of the predictors was as follows: age in decades, lumen size in millimetres; all other predictors, 1 if true and 0 if false.
The predictor is approximately as accurate as a variant of the predictor that only uses the 23 motifs identified in this study (see Figure S1 and Text S1).
The final model using adverse effects as predictors was parameterized as in Eq. 3. The predictive properties of the survival model are adequate as shown in the VPC.
The difference between specifying a predictor as continuous or categorical is how they are included in the model; categorical predictors are treated as factors, as in an ANOVA.
The response variable was treated as ordinal, while the predictors were treated as nominal (ordinal-nominal conditional association test) [ 36].
siRNA efficacy was coded as 0=low and 1=very high and all predictors were modelled as continuous (number of occurrences).
However, the performance of the identified predictor was not as good as the microarray gene expression predictor (71% prediction accuracy, 50% specificity and 75% sensitivity).
Prognostic predictors are conceptualized as time-invariant and uncorrelated to DR itself12,13,29.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com