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Median and Quantile Tests under Complex Survey Design using SAS and R

CITE Title : Median and Quantile Tests under Complex Survey Design using SAS and R Personal Author(s) : Pan, Yi;Caudill, Sam;Li, Ruosha;Caldwell, Kathy L.; Published Date : Jul 28 2014 Source : Comput Methods Programs Biomed. 117(2):292-297. URL : https://stacks.cdc.gov/view/cdc/50415 Pan, Yi et al. (2014). Median and Quantile Tests under Complex Survey Design using SAS and R. 117(2). Pan, Yi et al. "Median and Quantile Tests under Complex Survey Design using SAS and R" 117, no. 2 (2014) Pan, Yi et al. "Median and Quantile Tests under Complex Survey Design using SAS and R" vol. 117, no. 2, 2014 Export RIS Citation Information.

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Pan, Yi ;

Caudill, Sam

Jul 28 2014 | Comput Methods Programs Biomed. 117(2):292-297.

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Techniques for conducting hypothesis testing on the median and other quantiles of two or more subgroups under complex survey design are limited. In th...
Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS)

CITE Title : Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS) Personal Author(s) : He, Yulei;Zhang, Guangyu; Published Date : 1 2023;1-2023; Source : Surv Stat. 87:37-47 URL : https://stacks.cdc.gov/view/cdc/132019 He, Yulei and Zhang, Guangyu (2023). Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS). 87 He, Yulei and Zhang, Guangyu "Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS)" 87 (2023) He, Yulei and Zhang, Guangyu "Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS)" vol. 87, 2023 Export RIS Citation Information.

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He, Yulei ;

Zhang, Guangyu

1 2023 | Surv Stat. 87:37-47

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Multiple imputation (MI) is a widely used analytic approach to address missing data problems. SAS| (SAS Institute Inc, Cary, N.C.) has established MI ...