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Table 1 Variables and corresponding β coefficients of the univariate, elastic net, and stepwise regression models in the training set

From: A risk analysis of alpelisib-induced hyperglycemia in patients with advanced solid tumors and breast cancer

Variable

β univariate modela

P

Adjusted Pb

β elastic net model (model 1)

β linear model with stepwise variable selection (model 2)

Age

0.182

 < 0.001

0.003

0.024

NA

bid dosing

0.394

0.132

0.132

0.041

0.084

BMI

0.307

 < 0.001

 < 0.001

0.164

0.198

C-peptide

0.116

0.036

0.047

0.000

NA

Diastolic blood pressure

0.162

0.003

0.007

0.078

0.125

Dose

0.088

0.110

0.119

0.037

0.082

HbA1c

0.202

 < 0.001

0.001

0.066

0.104

HDL cholesterol

 − 0.099

0.073

0.086

0.000

NA

Monocytes

0.125

0.024

0.035

0.047

0.073

Fasting plasma glucose

0.440

 < 0.001

 < 0.001

0.321

0.357

Red blood cells

0.128

0.021

0.034

0.012

NA

Systolic blood pressure

0.174

0.002

0.004

0.000

NA

Triglycerides

0.142

0.010

0.019

0.000

NA

  1. aPositive coefficients are associated with higher risk; negative coefficients are associated with lower risk. All variables were standardized to have a mean of 0 and an SD of 1 using training set data. bAdjusted P values for simple multiple testing procedures using Benjamini and Hochberg step-up false discovery rate-controlling procedure
  2. bid, twice daily; BMI, body mass index; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein; NA, not applicable