Your English writing platform
Free sign upExact(2)
One hundred ninety-two patients (18%) had no positive predictor and were classified as low-risk patients.
Deviance residuals for this model were plotted against the linear predictor and were randomly scattered centred around a residual value of zero ranging between −3.86 and 3.33, which suggests the data have not been mis-modelled.
Similar(58)
The detection of minimal residual disease is the single most powerful predictor, and is critical in selecting optimal therapy for each patient [1, 4, 6].
The preliminary approximation is called predictor and is given by: (14).
Body mass index was no longer significant predictor and was excluded from the models.
In our series the classifier is the most powerful predictor and is independent of clinical and pathological variables.
Depression was also a major predictor and was almost three times more common in persons with significant fatigue.
Each feature is considered as an independent predictor and is given a weight proportional to its estimated precision.
In multivariable logistic regression, variables with p values <0.1 were chosen as candidate predictors and were entered into a logistic regression model (Table 1).
These particular proteins were determined using transmembrane predictors and were removed to constitute the final list of excreted proteins.
Of all included patients, 855 (82%) patients had one or more positive predictors and were classified as high-risk patients.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com