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J Beesley

Showing results (21-30 of 139) with videos related to

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Annals of the American Thoracic Society|September 15, 2016
Reply: Let Them In: Family Presence during Intensive Care Unit ProceduresSarah J Beesley, Samuel M Brown
Applied Optics|January 23, 2010
The use of photoresist as a holographic recording mediumM J Beesley, J G Castledine
Biostatistics (Oxford, England)|March 28, 2018
EM algorithms for fitting multistate cure modelsLauren J Beesley, Jeremy M G Taylor
Statistics in Medicine|August 30, 2021
Accounting for not-at-random missingness through imputation stackingLauren J Beesley, Jeremy M G Taylor
Biometrics|September 13, 2020
A stacked approach for chained equations multiple imputation incorporating the substantive modelLauren J Beesley, Jeremy M G Taylor
Statistics in Medicine|March 22, 2020
An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health recordsLauren J Beesley, Lars G Fritsche, Bhramar Mukherjee
JAMA Network Open|January 16, 2019
Can Big Data Deliver on Its Promises?-Leaps but Not BoundsIthan D Peltan, Sarah J Beesley, Samuel M Brown
Plos Computational Biology|June 3, 2022
Addressing delayed case reporting in infectious disease forecast modelingLauren J Beesley, Dave Osthus, Sara Y Del Valle
Annals of Translational Medicine|October 21, 2016
Glucose management in the intensive care unit: are we looking for the right sweet spot?Sarah J Beesley, Eliotte L Hirshberg, Michael J Lanspa
The Annals of Applied Statistics|August 16, 2024
PATIENT RECRUITMENT USING ELECTRONIC HEALTH RECORDS UNDER SELECTION BIAS: A TWO-PHASE SAMPLING FRAMEWORKGuanghao Zhang, Lauren J Beesley, Bhramar Mukherjee, et al.
Pageof 14

Showing results (21-30 of 139) with videos related to

Sort By:
Pageof 14
Annals of the American Thoracic Society|September 15, 2016
Reply: Let Them In: Family Presence during Intensive Care Unit ProceduresSarah J Beesley, Samuel M Brown
Applied Optics|January 23, 2010
The use of photoresist as a holographic recording mediumM J Beesley, J G Castledine
Biostatistics (Oxford, England)|March 28, 2018
EM algorithms for fitting multistate cure modelsLauren J Beesley, Jeremy M G Taylor
Statistics in Medicine|August 30, 2021
Accounting for not-at-random missingness through imputation stackingLauren J Beesley, Jeremy M G Taylor
Biometrics|September 13, 2020
A stacked approach for chained equations multiple imputation incorporating the substantive modelLauren J Beesley, Jeremy M G Taylor
Statistics in Medicine|March 22, 2020
An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health recordsLauren J Beesley, Lars G Fritsche, Bhramar Mukherjee
JAMA Network Open|January 16, 2019
Can Big Data Deliver on Its Promises?-Leaps but Not BoundsIthan D Peltan, Sarah J Beesley, Samuel M Brown
Plos Computational Biology|June 3, 2022
Addressing delayed case reporting in infectious disease forecast modelingLauren J Beesley, Dave Osthus, Sara Y Del Valle
Annals of Translational Medicine|October 21, 2016
Glucose management in the intensive care unit: are we looking for the right sweet spot?Sarah J Beesley, Eliotte L Hirshberg, Michael J Lanspa
The Annals of Applied Statistics|August 16, 2024
PATIENT RECRUITMENT USING ELECTRONIC HEALTH RECORDS UNDER SELECTION BIAS: A TWO-PHASE SAMPLING FRAMEWORKGuanghao Zhang, Lauren J Beesley, Bhramar Mukherjee, et al.
Pageof 14