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Using a Statistical Process Control Chart during the Quality Assessment of Cancer Registry Data

CITE Title : Using a Statistical Process Control Chart during the Quality Assessment of Cancer Registry Data Personal Author(s) : Myles, Zachary M.;German, Robert R.;Wilson, Reda J.;Wu, Manxia; Published Date : 2011;Autumn 2011; Source : J Registry Manag. 38(3):162-165 URL : https://stacks.cdc.gov/view/cdc/33821 Myles, Zachary M. et al. (2011). Using a Statistical Process Control Chart during the Quality Assessment of Cancer Registry Data. 38(3). Myles, Zachary M. et al. "Using a Statistical Process Control Chart during the Quality Assessment of Cancer Registry Data" 38, no. 3 (2011) Myles, Zachary M. et al. "Using a Statistical Process Control Chart during the Quality Assessment of Cancer Registry Data" vol. 38, no. 3, 2011 Export RIS Citation Information.

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Myles, Zachary M. ;

German, Robert R.

2011 | J Registry Manag. 38(3):162-165

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Statistical process control (SPC) charts may be used to detect acute variations in the data while simultaneously evaluating unforeseen aberrations tha...
A Bayesian Approach to Sequential Analysis in Post-licensure Vaccine Safety Surveillance

CITE Title : A Bayesian Approach to Sequential Analysis in Post-licensure Vaccine Safety Surveillance Personal Author(s) : Li, Rongxia;Stewart, Brock;Rose, Charles; Published Date : 5 2020;5-2020; Source : Pharm Stat. 19(3):291-302 URL : https://stacks.cdc.gov/view/cdc/150287 Li, Rongxia et al. (2020). A Bayesian Approach to Sequential Analysis in Post-licensure Vaccine Safety Surveillance. 19(3). Li, Rongxia and Stewart, Brock and Rose, Charles "A Bayesian Approach to Sequential Analysis in Post-licensure Vaccine Safety Surveillance" 19, no. 3 (2020) Li, Rongxia et al. "A Bayesian Approach to Sequential Analysis in Post-licensure Vaccine Safety Surveillance" vol. 19, no. 3, 2020 Export RIS Citation Information.

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Li, Rongxia ;

Stewart, Brock

5 2020 | Pharm Stat. 19(3):291-302

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With rapid development of computing technology, Bayesian statistics have increasingly gained more attention in various areas of public health. However...
Evaluating Surrogate Marker Information using Censored Data

CITE Title : Evaluating Surrogate Marker Information using Censored Data Personal Author(s) : Parast, Layla;Cai, Tianxi;Tian, Lu; Published Date : 5 20 2017;5-20-; Source : Stat Med. 36(11):1767-1782 URL : https://stacks.cdc.gov/view/cdc/54060 Parast, Layla et al. (2017). Evaluating Surrogate Marker Information using Censored Data. 36(11). Parast, Layla and Cai, Tianxi and Tian, Lu "Evaluating Surrogate Marker Information using Censored Data" 36, no. 11 (2017) Parast, Layla et al. "Evaluating Surrogate Marker Information using Censored Data" vol. 36, no. 11, 2017 Export RIS Citation Information.

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Parast, Layla ;

Cai, Tianxi

5 20 2017 | Stat Med. 36(11):1767-1782

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Given the long follow-up periods that are often required for treatment or intervention studies, the potential to use surrogate markers to decrease the...
Estimating the Population Impact of Preventive Interventions from Randomized Trials

CITE Title : Estimating the Population Impact of Preventive Interventions from Randomized Trials Personal Author(s) : Koepsell, Thomas D.;Zatzick, Douglas F.;Rivara, Frederick P.; Published Date : 2 2011;2-2011; Source : Am J Prev Med. 40(2):191-198 URL : https://stacks.cdc.gov/view/cdc/33181 Koepsell, Thomas D. et al. (2011). Estimating the Population Impact of Preventive Interventions from Randomized Trials. 40(2). Koepsell, Thomas D. and Zatzick, Douglas F. and Rivara, Frederick P. "Estimating the Population Impact of Preventive Interventions from Randomized Trials" 40, no. 2 (2011) Koepsell, Thomas D. et al. "Estimating the Population Impact of Preventive Interventions from Randomized Trials" vol. 40, no. 2, 2011 Export RIS Citation Information.

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Koepsell, Thomas D. ;

Zatzick, Douglas F.

2 2011 | Am J Prev Med. 40(2):191-198

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Growing concern about the limited generalizability of trials of preventive interventions has led to several proposals concerning the design, reporting...
The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California

CITE Title : The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California Personal Author(s) : Goldberg, Daniel W.;Cockburn, Myles G.; Published Date : 4-2012 Source : Spat Spatiotemporal Epidemiol. 2012; 3(1):39-54 URL : https://stacks.cdc.gov/view/cdc/33342 Goldberg, Daniel W. and Cockburn, Myles G. (2012). The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California. 3(1). Goldberg, Daniel W. and Cockburn, Myles G. "The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California" 3, no. 1 (2012) Goldberg, Daniel W. and Cockburn, Myles G. "The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California" vol. 3, no. 1, 2012 Export RIS Citation Information.

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Goldberg, Daniel W. ;

Cockburn, Myles G.

4-2012 | Spat Spatiotemporal Epidemiol. 2012; 3(1):39-54

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Geocoding is often used to produce maps of disease rates from the diagnosis addresses of incident cases to assist with disease surveillance, preventio...
Identifying implausible gestational ages in preterm babies with Bayesian mixture models‡

CITE Title : Identifying implausible gestational ages in preterm babies with Bayesian mixture models‡ Personal Author(s) : Zhang, Guangyu;Schenker, Nathaniel;Parker, Jennifer D.;Liao, Dan; Published Date : 5 30 2013 Source : Stat Med. 32(12):2097-2113 URL : https://stacks.cdc.gov/view/cdc/76978 Zhang, Guangyu et al. (2013). Identifying implausible gestational ages in preterm babies with Bayesian mixture models‡. 32(12). Zhang, Guangyu et al. "Identifying implausible gestational ages in preterm babies with Bayesian mixture models‡" 32, no. 12 (2013) Zhang, Guangyu et al. "Identifying implausible gestational ages in preterm babies with Bayesian mixture models‡" vol. 32, no. 12, 2013 Export RIS Citation Information.

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Zhang, Guangyu ;

Schenker, Nathaniel

5 30 2013 | Stat Med. 32(12):2097-2113

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Infant birth weight and gestational age are two important variables in obstetric research. The primary measure of gestational age used in US birth dat...