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Best (but of t-forgotten) practices: checking assumptions concerning regression residuals12

CITE Title : Best (but of t-forgotten) practices: checking assumptions concerning regression residuals12 Personal Author(s) : Barker, Lawrence E;Shaw, Kate M; Published Date : Jul 22 2015 Source : Am J Clin Nutr. 102(3):533-539. URL : https://stacks.cdc.gov/view/cdc/34053 Barker, Lawrence E and Shaw, Kate M (2015). Best (but of t-forgotten) practices: checking assumptions concerning regression residuals12. 102(3). Barker, Lawrence E and Shaw, Kate M "Best (but of t-forgotten) practices: checking assumptions concerning regression residuals12" 102, no. 3 (2015) Barker, Lawrence E and Shaw, Kate M "Best (but of t-forgotten) practices: checking assumptions concerning regression residuals12" vol. 102, no. 3, 2015 Export RIS Citation Information.

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Barker, Lawrence E ;

Shaw, Kate M

Jul 22 2015 | Am J Clin Nutr. 102(3):533-539.

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The residuals of a least squares regression model are defined as the observations minus the modeled values. For least squares regression to produce va...
Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit

CITE Title : Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit Personal Author(s) : Wiegand, Ryan E.;Rose, Charles E.;Karon, John M.; Published Date : May 05 2014 Source : Stat Methods Med Res. 25(6):2733-2749 URL : https://stacks.cdc.gov/view/cdc/83429 Wiegand, Ryan E. et al. (2014). Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit. 25(6). Wiegand, Ryan E. and Rose, Charles E. and Karon, John M. "Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit" 25, no. 6 (2014) Wiegand, Ryan E. et al. "Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit" vol. 25, no. 6, 2014 Export RIS Citation Information.

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Wiegand, Ryan E. ;

Rose, Charles E.

May 05 2014 | Stat Methods Med Res. 25(6):2733-2749

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A potential difficulty in the analysis of biomarker data occurs when data are subject to a detection limit. This detection limit is often defined as t...