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Limitations in using multiple imputation to harmonize individual participant data for meta-analysis

CITE Title : Limitations in using multiple imputation to harmonize individual participant data for meta-analysis Personal Author(s) : Siddique, Juned;de Chavez, Peter J.;Howe, George;Cruden, Gracelyn;Brown, C. Hendricks; Published Date : 2 2018;2-2018; Source : Prev Sci. 19(Suppl 1):95-108 URL : https://stacks.cdc.gov/view/cdc/135519 Siddique, Juned et al. (2018). Limitations in using multiple imputation to harmonize individual participant data for meta-analysis. 19 Siddique, Juned et al. "Limitations in using multiple imputation to harmonize individual participant data for meta-analysis" 19 (2018) Siddique, Juned et al. "Limitations in using multiple imputation to harmonize individual participant data for meta-analysis" vol. 19, 2018 Export RIS Citation Information.

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Siddique, Juned ;

de Chavez, Peter J.

2 2018 | Prev Sci. 19(Suppl 1):95-108

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Individual participant data (IPD) meta-analysis is a meta-analysis in which the individual-level data for each study are obtained and used for synthes...
Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models

CITE Title : Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models Personal Author(s) : Rammon, Jennifer;He, Yulei;Parker, Jennifer D.; Published Date : 8 26 2019;8-26-; Source : Stat J IAOS. 35(3):443-456 URL : https://stacks.cdc.gov/view/cdc/92688 Rammon, Jennifer et al. (2019). Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models. 35(3). Rammon, Jennifer and He, Yulei and Parker, Jennifer D. "Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models" 35, no. 3 (2019) Rammon, Jennifer et al. "Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models" vol. 35, no. 3, 2019 Export RIS Citation Information.

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Rammon, Jennifer ;

He, Yulei

8 26 2019 | Stat J IAOS. 35(3):443-456

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Data from the National Health and Nutrition Examination Survey (NHANES) have been linked to the Center for Medicare and Medicaid Services' Medicaid En...
Multiple imputation to evaluate the impact of an assay change in national surveys

CITE Title : Multiple imputation to evaluate the impact of an assay change in national surveys Personal Author(s) : Sternberg, Maya Published Date : 7 30 2017;7-30-; Source : Stat Med. 36(17):2697-2719 URL : https://stacks.cdc.gov/view/cdc/49987 Sternberg, Maya (2017). Multiple imputation to evaluate the impact of an assay change in national surveys. 36(17). Sternberg, Maya "Multiple imputation to evaluate the impact of an assay change in national surveys" 36, no. 17 (2017) Sternberg, Maya "Multiple imputation to evaluate the impact of an assay change in national surveys" vol. 36, no. 17, 2017 Export RIS Citation Information.

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Sternberg, Maya

7 30 2017 | Stat Med. 36(17):2697-2719

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National health surveys, such as the National Health and Nutrition Examination Survey, are used to monitor trends of nutritional biomarkers. These sur...
Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study

CITE Title : Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study Personal Author(s) : Liu, Yang;De, Anindya; Published Date : 2015;2015; Source : Int J Stat Med Res. 4(3):287-295 URL : https://stacks.cdc.gov/view/cdc/40482 Liu, Yang and De, Anindya (2015). Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study. 4(3). Liu, Yang and De, Anindya "Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study" 4, no. 3 (2015) Liu, Yang and De, Anindya "Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study" vol. 4, no. 3, 2015 Export RIS Citation Information.

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Liu, Yang ;

De, Anindya

2015 | Int J Stat Med Res. 4(3):287-295

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Missing data commonly occur in large epidemiologic studies. Ignoring incompleteness or handling the data inappropriately may bias study results, reduc...
$Improved methods for estimating fraction of missing information in multiple imputation$

Improved methods for estimating fraction of missing information in multiple imputation

CITE Title : Improved methods for estimating fraction of missing information in multiple imputation Personal Author(s) : Pan, Qiyuan;Wei, Rong; Published Date : 2018 Source : Cogent Math Stat. 5 URL : https://stacks.cdc.gov/view/cdc/76969 Pan, Qiyuan and Wei, Rong (2018). Improved methods for estimating fraction of missing information in multiple imputation. 5 Pan, Qiyuan and Wei, Rong "Improved methods for estimating fraction of missing information in multiple imputation" 5 (2018) Pan, Qiyuan and Wei, Rong "Improved methods for estimating fraction of missing information in multiple imputation" vol. 5, 2018 Export RIS Citation Information.

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Pan, Qiyuan ;

Wei, Rong

2018 | Cogent Math Stat. 5

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Multiple imputation (MI) has become the most popular approach in handling missing data. Closely associated with MI, the fraction of missing informatio...
Estimation of the Percentage of Newly Diagnosed HIV-Positive Persons Linked to HIV Medical Care in CDC-Funded HIV Testing Programs

CITE Title : Estimation of the Percentage of Newly Diagnosed HIV-Positive Persons Linked to HIV Medical Care in CDC-Funded HIV Testing Programs Personal Author(s) : Wang, Guoshen;Pan, Yi;Seth, Puja;Song, Ruiguang;Belcher, Lisa; Published Date : 12 2018;12-2018; Source : Eval Health Prof. 41(4):474-492 URL : https://stacks.cdc.gov/view/cdc/159520 Wang, Guoshen et al. (2018). Estimation of the Percentage of Newly Diagnosed HIV-Positive Persons Linked to HIV Medical Care in CDC-Funded HIV Testing Programs. 41(4). Wang, Guoshen et al. "Estimation of the Percentage of Newly Diagnosed HIV-Positive Persons Linked to HIV Medical Care in CDC-Funded HIV Testing Programs" 41, no. 4 (2018) Wang, Guoshen et al. "Estimation of the Percentage of Newly Diagnosed HIV-Positive Persons Linked to HIV Medical Care in CDC-Funded HIV Testing Programs" vol. 41, no. 4, 2018 Export RIS Citation Information.

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Wang, Guoshen ;

Pan, Yi

12 2018 | Eval Health Prof. 41(4):474-492

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Missing data create challenges for determining progress made in linking HIV-positive persons to HIV medical care. Statistical methods are not used to ...