Description Usage Format Details Source References Examples
NHANES_blood_lead_small data after a full matching using the optmatch package
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NHANES_blood_lead_small dataset after a full matching. It consists of 500 instances and the following 12 variables:
COP
treatment, 1 if cotinine level is between 0.563-14.9 ng/ml and 0 otherwise
DMARETHN
1 if white, 0 if others
DMPPIR
Poverty income ratio
HFE1
1 if the house is built before 1974, 0 if after 1974
HFE2
number of rooms in the house
HFHEDUCR
education level of the reference adult
HSAGEIR
age at the time of interview
HSFSIZER
size of the family
HSSEX
1 if male, 0 if female
PBP
blood lead level
U0
placeholder for the hypothesized unmeasured confounder U
matches
matched set assignment
We perform a full matching on the NHANES_blood_lead_small dataset using the optmatch package. The code for constructing this matched dataset from the original dataset is given in the examples section. We add a column U0 as placeholder for the unmeasurefor confounder U.
NHANES III, the Third US National Health and Nutrition Examination Survey.
D. M. Mannino, R. Albalak, S. D. Grosse, and J. Repace. Second-hand smoke exposureand blood lead levels in U.S. children.Epidemiology, 14:719-727, 2003
A. Gelman. Scaling regression inputs by dividing by two standard deviations.Statisticsin Medicine, 27:2865-2873, 2008.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## Not run:
# To run this example, optmatch must be installed
set.seed(1)
library(optmatch)
data(NHANES_blood_lead_small)
attach(NHANES_blood_lead_small)
# Perform a fullmatch
fm = fullmatch(COP ~. , data = NHANES_blood_lead_small[, 1:9], min.controls = 1/4, max.controls = 4)
NHANES_blood_lead_small_matched = cbind(NHANES_blood_lead_small, matches = fm)
# Add a U0 row
U0 = rep(1, dim(NHANES_blood_lead_small_matched)[1])
NHANES_blood_lead_small_matched = cbind(NHANES_blood_lead_small_matched[,1:9], U0,
NHANES_blood_lead_small_matched[, 10:11])
## End(Not run)
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