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Table 1 Overview of variable group (and number of variables) that appear in the data mining data set

From: Adaptive regression modeling of biomarkers of potential harm in a population of U.S. adult cigarette smokers and nonsmokers

Group

Variables

BOPH (4)

DEH11, EPI8, HDL, WBC

Special interest variables: BOE (9):

HPMA3, DHBMA, MHBMA, NICEQ, COTIN, OHP, TOTNN, ABP, COHB

Special interest variables: cumulative effects (2)

"AGE", "SMKYRS" (years smoked, excluded from analysis of non-smokers)

Special interest variables: stratification (1)

Smoking Status

Exposure variables (4)

Measures of exposure to exhaust and chemicals, from questionnaire

Exposure variables (non-smokers, 8)

Measures of exposure to secondary smoke, from questionnaire

Exposure variables (smokers, 19)

Measures of exposure to tobacco, including number of cigarettes smoked, tar and nicotine content, presence of menthol, included only in the analysis for smokers

Demographics (13)

Weight, gender, race, geographical location, income, etc.

Vital signs (5)

Respiratory rate, temperature, blood pressure, pulse

Clinical measures (2)

Measures of respiratory capacity, FVC, FEV1

General health (20)

General health questions, from questionnaire

Lab values (22)

Clinical chemistry laboratory values

Creatinine clearance (1)

CRCL: 24 h urine creatinine/plasma creatinine

Lab value flags (6)

Lab value flags

Medical history indicators (15)

Medical history findings broken down into 15 categories

Concomitant medications (61)

Concomitant medications broken down into 61 categories