Multiple Bias Calibration for Valid Statistical Inference under Nonignorable Nonresponse

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Data

Abstract

The dataset used for the analyses in Section 7 of the paper is from the National Health and Nutrition Examination Survey (NHANES) 2017–2018, a program of studies designed to assess the health and nutritional status of adults and children in the United States.

Availability

The dataset is available for download at www.cdc.gov/nchs/nhanes.htm.

Description

The variable of interest $Y$ is the body fat percentage measured by dxa (dual-energy X-ray absorptiometry, variable DXDTOPF). The demographics data include age(variable RIDAGEYR, $8 \le \mathit{age} \le 59$) and gender(variable RIAGENDR, 1 for male and 2 for female), and the examination data include bmi(body mass index, variable BMXBMI). There are $n = 5,055$ subjects and 1,411 (27.9%) of which have missing $Y$ values.

Code

Abstract

All of the simulation study and the case study for this paper were done in R. Separate code files are provided to conduct two simulation studies and analysis on real data sets for the case study.

Description

All of the R scripts used in this paper are available in this project.

Instructions for Use

Reproducibility

1. The folder named code contains all of the R scripts.
2. The R script functions_common.R contains the R functions commonly used in the simulation studies and the case study.
3. The R script functions_sim1.R contains the R functions used in the simulation study in Section 6 of the paper.
4. The R script functions_sim2.R contains the R functions used in the simulation study in Section A.1 of the supplementary material.
5. The R script functions_case.R contains the R functions used in the case study in Section 7 of the paper.
6. The R script Simulation1.R contains the R code to perform the simulation study in Section 6 of the paper. Its results are stored in output/res_sim1/.
7. The R script Simulation1_summary.R contains the R code to make Table 1 and to draw Figure 1.
8. The R script Simulation2.R contains the R code to perform the simulation study in Section A.1 of the supplementary material. Its results are stored in output/res_sim2/.
9. The R script Simulation2_summary.R contains the R code to make Table S1 and to draw Figure S1.
10. The R script CaseStudy.R contains the R code to perform the case study in Section 7 of the paper. Its results are stored in output/res_case/.
11. The R script CaseStudy_summary.R contains the R code to make Table 2 and to draw Figure S2 and S3.
12. The folder named output contains all of the results from two simulations studies and the case study.
13. The subfolder named res_sim1 of output contains the results from the first simulation study.
14. The subfolder named res_sim2 of output contains the results from the second simulation study.
15. The subfolder named res_case of output contains the results from the case study.
16. The subfolder named summary of output contains all of the tables and the figures presented in the paper.