plcom2012: PLCOm2012 risk prediction model for lung cancer

In resplab/PLCOm2012: Prediction Risk Model for Lung Cancer

Description

PLCOm2012 risk prediction model for lung cancer

Usage

plcom2012(
  age,
  race,
  education,
  bmi,
  copd,
  cancer_hist,
  family_hist_lung_cancer,
  smoking_status,
  smoking_intensity,
  duration_smoking,
  smoking_quit_time
)

Arguments

age	a vector of patient's age
race	categorical variable of patient's race or ethnic group (White, Black, Hispanic, Asian, American Indian, Alaskan Native, Native Hawaiian, Pacific Islander)
education	education was measured in six ordinal levels: less than high-school graduate (level 1), high-school graduate (level 2), some training after high school (level 3), some college (level 4), college graduate (level 5), and postgraduate or professional degree (level 6)
bmi	a vector of patient's body mass index, per 1 unit of increase
copd	binary variable of chronic obstructive pulmonary disease (yes as 1 or no as 0)
cancer_hist	binary variable of patient's cancer history (yes as 1 or no as 0)
family_hist_lung_cancer	binary variable of patient's family history of lung cancer (yes as 1 or no as 0)
smoking_status	binary variable of patient's smoking status (current as 1 or former as 0)
smoking_intensity	a vector of the number cigarettes patient smokes per day
duration_smoking	a vector of patient's duration of smoking, per 1-yr increase
smoking_quit_time	a vector of patient's smoking quit time, per 1-yr increase

Value

prob patient's 6-year probability of lung-cancer

Examples

plcom2012(age=62, race='White', education=4, bmi=27, copd=0, cancer_hist=0,
family_hist_lung_cancer=0, smoking_status=0, smoking_intensity=80,
duration_smoking=27, smoking_quit_time=10)

resplab/PLCOm2012 documentation built on Dec. 22, 2021, 3:01 p.m.