A dataset containing various propensity score weights for
causaldata::nhefs_complete, including weights for both binary (smoking
cessation) and categorical (alcohol frequency) exposures.
Format
A data frame with 1566 rows and 30 variables:
- qsmk
Quit smoking (binary exposure)
- alcoholfreq
Alcohol frequency (numeric 0-5)
- alcoholfreq_cat
Alcohol frequency as categorical (factor with levels: none, lt_12_per_year, 1_4_per_month, 2_3_per_week, daily); NA for unknown alcohol frequency
- race
Race
- age
Age
- sex
Sex
- education
Education level
- smokeintensity
Smoking intensity
- smokeyrs
Number of smoke-years
- exercise
Exercise level
- active
Daily activity level
- wt71
Participant weight in 1971 (baseline)
- wt82_71
Weight change from 1971 to 1982
- death
Death indicator
- wts
Simple inverse probability weight for binary exposure
- w_ate
ATE weight for binary exposure
- w_att
ATT weight for binary exposure
- w_atc
ATC weight for binary exposure
- w_atm
ATM weight for binary exposure
- w_ato
ATO weight for binary exposure
- w_cat_ate
ATE weight for categorical exposure (NA for unknown alcohol frequency)
- w_cat_att_none
ATT weight with "none" as focal category (NA for unknown alcohol frequency)
- w_cat_att_lt12
ATT weight with "lt_12_per_year" as focal category (NA for unknown alcohol frequency)
- w_cat_att_1_4mo
ATT weight with "1_4_per_month" as focal category (NA for unknown alcohol frequency)
- w_cat_att_2_3wk
ATT weight with "2_3_per_week" as focal category (NA for unknown alcohol frequency)
- w_cat_att_daily
ATT weight with "daily" as focal category (NA for unknown alcohol frequency)
- w_cat_atu_none
ATU weight with "none" as focal category (NA for unknown alcohol frequency)
- w_cat_ato
ATO weight for categorical exposure (NA for unknown alcohol frequency)
- w_cat_atm
ATM weight for categorical exposure (NA for unknown alcohol frequency)
- .fitted
Propensity score for binary exposure