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Table 1 List of variables in the dataset

From: Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets

Variable

Variable type

Variable

Variable type

Personal Information

 ID

Classification

Age

Continuous

 SEX

Classification

  

Physical Examination Data

 Systolic blood pressure(SBP)

Continuous

Diastolic blood pressure(DBP)

Continuous

 Height

Continuous

Weight

Continuous

 Waistline

Continuous

Hipline

Continuous

Questionnaire Investigation

 Education level

Classification

Work

Classification

 Marital status

Classification

Smoke

Classification

 Physical exercise

Classification

FHH

Classification

 Drink

Classification

FHDM

Classification

 FHCHD

Classification

  

Laboratory Biochemical Information

 ALP

Continuous

ALB

Continuous

 AST

Continuous

A/G

Continuous

 APOA

Continuous

APOB

Continuous

 APOA/B

Continuous

GLU

Continuous

 CKMB

Continuous

CR

Continuous

 GLB

Continuous

GGT

Continuous

 ALT

Continuous

HDL

Continuous

 LDL

Continuous

TC

Continuous

 TG

Continuous

TBIL

Continuous

 DBIL

Continuous

  

Outcome Indicator

 Outcome

Classification

  
  1. Abbreviations: FHH Family history of hypertension, FHDM Family history of diabetes, FHCHD Family history of coronary heart disease, ALP, alkaline phosphatase, ALB albumin, AST Aspartate aminotransferase, A/G Albumin/globulin, APOA Apolipoprotein A, APOB Apolipoprotein B, APOA/B Apolipoprotein A/B, GLU glucose, CKMB Creatine kinase isoenzyme, GLB Globulin, CR Serum creatinine, GGT Glutamyl transpeptidase, ALT Glutamic pyruvic transaminase, HDL High-density lipoprotein cholesterol, LDL Low-density lipoprotein cholesterol, TC Total cholesterol, TG Triglycerides, TBIL Total bilirubin, DBIL Direct bilirubin