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An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis

CITE Title : An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis Personal Author(s) : Du, Ruofei;Luo, Li;Hudson, Laurie G.;Nozadi, Sara;Lewis, Johnnye; Source : J Appl Stat. 50(8):1790-1811 URL : https://stacks.cdc.gov/view/cdc/162352 Du, Ruofei et al. (2022). An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis. 50(8). Du, Ruofei et al. "An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis" 50, no. 8 (2022) Du, Ruofei et al. "An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis" vol. 50, no. 8, 2022 Export RIS Citation Information.

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Du, Ruofei ;

Luo, Li

| J Appl Stat. 50(8):1790-1811

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In a large-scale environmental health population study that is composed of subprojects, often different fractions of participants out of the total enr...

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