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Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006

CITE Title : Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006 Personal Author(s) : Cheng, Yiling J.;Gregg, Edward W.;Rolka, Deborah B.;Thompson, Theodore J.; Published Date : Dec 15 2016 Source : Popul Health Metr. 14. URL : https://stacks.cdc.gov/view/cdc/43640 Cheng, Yiling J. et al. (2016). Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006. 14 Cheng, Yiling J. et al. "Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006" 14 (2016) Cheng, Yiling J. et al. "Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006" vol. 14, 2016 Export RIS Citation Information.

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Cheng, Yiling J. ;

Gregg, Edward W.

Dec 15 2016 | Popul Health Metr. 14.

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BackgroundMonitoring national mortality among persons with a disease is important to guide and evaluate progress in disease control and prevention. Ho...

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