Factors considered in logistic regression analysis included sMMP-9 level (under a log transformation), age, gender, smoking history (never vs ever), family history (negative vs positive), rectal bleeding (negative vs positive), persistent altered bowel habit (negative vs positive), unexplained abdominal pain (negative vs positive), and unexplained weight loss (negative vs positive).
This example of secondary-phase transformation (age-) hardening is proposed as a new route for advanced surface engineering, and for the development of future generation hard coatings.
After square root transformation, age-adjusted partial correlation coefficients were calculated while four ANOVAS (PSQI, insomnia, tiredness and pain related sleep problems as dependent variables) were performed to check if the group difference between MIG and CO remained when adjusting for relevant confounders (anxiety, depression, PLM, and AHI).
After malignant transformation, aging in NSPCs translated to increased invasive potential, genomic instability, resistance to genotoxic stress (radiation and alkylating chemotherapy) and tolerance of hypoxia.
The FP2 3,3) transformation of age yields the covariates age and age× ln age).
The log transformation for age adjusts for this, as on the log age scale, the curves are more parallel and the tempo velocity correlation closer to zero.
Looking closely into the LaFarge equation, the logarithmic transformation of age intrinsically results in a faster increase in V o2 as age decreases, particularly within the first 3 years of life, as shown clearly in our data.
This contradictoriness is partly down to the transformation that age wrought on Highsmith, as the years turned her from a sensual, romantic young woman to a solitary, disillusioned alcoholic.
Estimated V o2, as presented in the LaFarge equation itself, used a logarithmic transformation of age (parameter estimate = −20, P <.0001), whereby there was a rapid decrease from age 0 to 3 years, followed by a slower decrease thereafter.
When you're starting transformation, the age of the business is an early warning sign.
Transformation of age to a different scale, by taking square roots, led to almost linear curves.
