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Remembering Ralph B. D'Agostino, Sr.

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Manage episode 378617328 series 2889462
Content provided by Lucy D'Agostino McGowan and Ellie Murray, Lucy D'Agostino McGowan, and Ellie Murray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucy D'Agostino McGowan and Ellie Murray, Lucy D'Agostino McGowan, and Ellie Murray or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr.

Ellie Murray and Lucy D’Agostino McGowan chat with Ralph D’Agostino Sr. and Ralph D’Agostino Jr. about their careers in statistics, looking back at how things have developed and forward at where they see the world of statistics and epidemiology going.

Ralph D’Agostino Sr. was a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He was the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of Statistics in Medicine and lead editor of their Tutorials, and a member and consultant on FDA committees. His major fields of research were clinical trials, prognostic models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research.

Ralph D’Agostino Jr. is a professor in the Department of Biostatistics and Data Science at Wake Forest University where he is the Director of the Biostatistics Core of the Comprehensive Cancer Center. Methodologically his research includes developing statistical techniques for evaluating data from observational settings, handling missing data in applied problems, and developing predictive functions to identify prospectively patients at elevated risk for future negative outcomes. Some of his recent work includes the development of methods using propensity score models to identify safety signals in large retrospective databases.

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60 episodes

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Remembering Ralph B. D'Agostino, Sr.

Casual Inference

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Manage episode 378617328 series 2889462
Content provided by Lucy D'Agostino McGowan and Ellie Murray, Lucy D'Agostino McGowan, and Ellie Murray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucy D'Agostino McGowan and Ellie Murray, Lucy D'Agostino McGowan, and Ellie Murray or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr.

Ellie Murray and Lucy D’Agostino McGowan chat with Ralph D’Agostino Sr. and Ralph D’Agostino Jr. about their careers in statistics, looking back at how things have developed and forward at where they see the world of statistics and epidemiology going.

Ralph D’Agostino Sr. was a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He was the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of Statistics in Medicine and lead editor of their Tutorials, and a member and consultant on FDA committees. His major fields of research were clinical trials, prognostic models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research.

Ralph D’Agostino Jr. is a professor in the Department of Biostatistics and Data Science at Wake Forest University where he is the Director of the Biostatistics Core of the Comprehensive Cancer Center. Methodologically his research includes developing statistical techniques for evaluating data from observational settings, handling missing data in applied problems, and developing predictive functions to identify prospectively patients at elevated risk for future negative outcomes. Some of his recent work includes the development of methods using propensity score models to identify safety signals in large retrospective databases.

  continue reading

60 episodes

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