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Assessing the impact of different imputation methods on serial measures of renal function: The Strong Heart Study  N.-M. Shara, J.-G. Umans, W. Wang,

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Presentation on theme: "Assessing the impact of different imputation methods on serial measures of renal function: The Strong Heart Study  N.-M. Shara, J.-G. Umans, W. Wang,"— Presentation transcript:

1 Assessing the impact of different imputation methods on serial measures of renal function: The Strong Heart Study  N.-M. Shara, J.-G. Umans, W. Wang, B.-V. Howard, H.-E. Resnick  Kidney International  Volume 71, Issue 7, Pages (April 2007) DOI: /sj.ki Copyright © 2007 International Society of Nephrology Terms and Conditions

2 Figure 1 Comparison of mean Scr in the imputed sets versus the complete Strong Heart Study data set, at three levels of missing data. Kidney International  , DOI: ( /sj.ki ) Copyright © 2007 International Society of Nephrology Terms and Conditions

3 Figure 2 Comparison of mean eGFR in the imputed sets versus the complete Strong Heart Study data set, at three levels of missing data. Kidney International  , DOI: ( /sj.ki ) Copyright © 2007 International Society of Nephrology Terms and Conditions

4 Figure 3 HRs for the relationship among Scr, eGFR, eGFR calculated using imputed Scr and risk of CVD from separate Cox regression models, according to imputation method at 30% missing data. The HR estimate is shown as a dot and the extended horizontal line represents the 95% CIs. The complete case data set is plotted as the first group in all three methods of measuring kidney function. Kidney International  , DOI: ( /sj.ki ) Copyright © 2007 International Society of Nephrology Terms and Conditions


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