NHANES_blood_lead: Second hand smoking and blood lead levels dataset from NHANES...

In sensitivityCalibration: A Calibrated Sensitivity Analysis for Matched Observational Studies

Description

A dataset constructed from NHANES III.

Usage

data(NHANES_blood_lead)

Format

A data frame with 4519 observations on the following 10 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

Details

We follow Mannino rt al. (2003) in constructing a dataset that includes children aged 4-16 years old for whom both serum cotinine levels and blood lead levels were measured in the Third National Health and Nutrition Examination Survey (NHANES III), along with the following variables: race/ethnicity, age, sex, poverty income ratio, education level of the reference adult, family size, number of rooms in the house, and year the house was constructed. The biomarker cotinine is a metabolite of nicotine and an indicator of second-hand smoke exposure. Treatment status is 1 if cotinine level is between 0.563-14.9 ng/ml and 0 otherwise. All continuous/ordinal variables are standardized by subtracting the mean and divided by 2 standard deviations so that they are more comparable to binary covariates (Gelman 2008).

Source

NHANES III, the Third US National Health and Nutrition Examination Survey.

References

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.

Examples

data(NHANES_blood_lead)

sensitivityCalibration documentation built on May 2, 2019, 1:07 p.m.