nonprobsampling (version 0.1.0)

sc: Nonprobability Sample (sc)

Description

This dataset represents a synthetic nonprobability sample generated via Poisson sampling from a finite population constructed from the National Health and Nutrition Examination Survey (NHANES) cycles 1999--2010. It is intended to illustrate the pseudo-weighting methods implemented in the nonprobsampling package.

Usage

data(sc)

Format

A data frame with 2404 observations and 8 variables:

psa_level

Outcome variable: serum prostate-specific antigen level (numeric)

BMI

Body mass index category (factor with 4 levels: "Normal", "Overweight", "Obese", "Morbidly Obese")

race

Race category (factor with 4 levels: 1 = White, 2 = Black, 3 = Hispanic, 4 = Other)

agecat

Age category (factor with 4 levels: 1 = 55--59, 2 = 60--64, 3 = 65--69, 4 = 70+)

education

Education level (factor with 5 levels: 1 = Less Than 8 Years, 2 = 8--11 Years, 3 = 12 Years Or Completed High School, 4 = College Graduate, 5 = Postgraduate)

pros_enlarged

Prostate enlargement indicator (factor with 2 levels: 0 = No, 1 = Yes)

comorbidity

General comorbidity indicator (factor with 2 levels: 0 = No, 1 = Yes)

diabetes

Diabetes diagnosis indicator (factor with 2 levels: 0 = No, 1 = Yes)

Details

The dataset has 2,404 complete-case observations, with psa_level serving as the outcome variable. Auxiliary variables shared with the probability reference surveys sp1 and sp2 are used to construct pseudo-weights aimed at correcting for participation bias.

Examples

data(sc)
str(sc)
summary(sc)