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[Estimation of gene-environment interaction regarding partial case-control study with missing data on gene information of the controls].
Zhonghua Liu Xing Bing Xue Za Zhi. 2007 Aug; 28(8):806-9.ZL

Abstract

OBJECTIVE

To discuss the estimation on gene-environment interaction in partial case-control studies when gene information of the controls was partly missing.

METHODS

The results of hot deck multiple imputation and listwise deletion analysis were compared when missing data was generated using Monte Carlo method in Stata 9.0.

RESULTS

Coefficients of environment effect, gene effect and gene-environment interaction were respectively estimated by means of hot deck multiple imputation and listwise deletion when approaching to those complete data with missing part less than 50 percent. Both estimated variances of the two methods were increasing with the increased proportion of missing data, but the estimated variance of hot deck multiple imputation was smaller than the one with listwise deletion in each proportion.

CONCLUSION

Hot deck imputation could be adopted to make full use of existing information to estimate gene-environment interaction in the partial case-control study when missing proportion of gene data of controls was less than 50 percent so as to increase the precision of the estimation.

Authors+Show Affiliations

Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

English Abstract
Journal Article

Language

chi

PubMed ID

18080572

Citation

Bai, Jian-Ling, et al. "[Estimation of Gene-environment Interaction Regarding Partial Case-control Study With Missing Data On Gene Information of the Controls]." Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, vol. 28, no. 8, 2007, pp. 806-9.
Bai JL, Xun PC, Zhao Y, et al. [Estimation of gene-environment interaction regarding partial case-control study with missing data on gene information of the controls]. Zhonghua Liu Xing Bing Xue Za Zhi. 2007;28(8):806-9.
Bai, J. L., Xun, P. C., Zhao, Y., Yu, H., Shen, H. B., Wei, Q. Y., & Chen, F. (2007). [Estimation of gene-environment interaction regarding partial case-control study with missing data on gene information of the controls]. Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, 28(8), 806-9.
Bai JL, et al. [Estimation of Gene-environment Interaction Regarding Partial Case-control Study With Missing Data On Gene Information of the Controls]. Zhonghua Liu Xing Bing Xue Za Zhi. 2007;28(8):806-9. PubMed PMID: 18080572.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Estimation of gene-environment interaction regarding partial case-control study with missing data on gene information of the controls]. AU - Bai,Jian-Ling, AU - Xun,Peng-Cheng, AU - Zhao,Yang, AU - Yu,Hao, AU - Shen,Hong-Bing, AU - Wei,Qing-Yi, AU - Chen,Feng, PY - 2007/12/18/pubmed PY - 2010/5/14/medline PY - 2007/12/18/entrez SP - 806 EP - 9 JF - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi JO - Zhonghua Liu Xing Bing Xue Za Zhi VL - 28 IS - 8 N2 - OBJECTIVE: To discuss the estimation on gene-environment interaction in partial case-control studies when gene information of the controls was partly missing. METHODS: The results of hot deck multiple imputation and listwise deletion analysis were compared when missing data was generated using Monte Carlo method in Stata 9.0. RESULTS: Coefficients of environment effect, gene effect and gene-environment interaction were respectively estimated by means of hot deck multiple imputation and listwise deletion when approaching to those complete data with missing part less than 50 percent. Both estimated variances of the two methods were increasing with the increased proportion of missing data, but the estimated variance of hot deck multiple imputation was smaller than the one with listwise deletion in each proportion. CONCLUSION: Hot deck imputation could be adopted to make full use of existing information to estimate gene-environment interaction in the partial case-control study when missing proportion of gene data of controls was less than 50 percent so as to increase the precision of the estimation. SN - 0254-6450 UR - https://www.unboundmedicine.com/medline/citation/18080572/[Estimation_of_gene_environment_interaction_regarding_partial_case_control_study_with_missing_data_on_gene_information_of_the_controls]_ L2 - http://journal.yiigle.com/LinkIn.do?linkin_type=pubmed&issn=0254-6450&year=2007&vol=28&issue=8&fpage=806 DB - PRIME DP - Unbound Medicine ER -