Sentence examples for binary variable was based from inspiring English sources

A binary variable was based on a non-hierarchical cluster analysis [ 20].

The clinical criterion we chose to determine lymphoedema (binary variable) was based on changes in circumference along the arm (continuous variable).

The age of the neighborhood was calculated based on the era of development from the 2006 Census; this binary variable was based on >50%% of neighborhood constructed before or after 1960 (0 = majority of neighborhood constructed after 1960, 1 = majority of neighborhood constructed prior to 1960).

A binary variable was based on a panel of gynecologic symptoms and conditions developed by Wenzel et al. (23) and included abnormal vaginal discharge, severe pelvic pain, burning during urination, blood in the urine, skipped period, abnormally heavy periods, and new warts, sores, or lumps on the genitals.

The binary outcome variable was based on the use of one or more of the selected prescription medications in the previous two days.

The response variable is based on the sum of the binary outcome for the three years.

A binary variable was created based on survey responses where "1" indicates an instructor felt there was enough time and "0" indicates feeling there was no enough time.

A binary variable, never/ever, was based on the information obtained on whether a study participant had smoked <one pack-year (never-smoker), or >one pack-year (ever-smoker) in his/her lifetime.

The binary variable 'familiarity' was based on answers to questions about personal experience with addiction.

History of diabetes was a binary variable that was based either on self report of participants, on validated information from their physicians, diabetes registers or medical records, or on results of blood measurements (such as 2 hour plasma glucose ≥200 mg/ml in an oral glucose tolerance test, HbA1c ≥6.5%, or fasting plasma glucose ≥126 mg/dl).

The effect of Alu density on mutation feature based classification (a binary variable) was analyzed using a logistic regression model.