Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lauren J Beesley

Showing results (1-10 of 39) with videos related to

Pageof 4
Sort By:
Medrxiv : the Preprint Server for Health Sciences|January 5, 2021
Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studiesLauren J Beesley, Bhramar Mukherjee
Statistics in Medicine|September 22, 2022
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassificationLauren J Beesley, Bhramar Mukherjee
Biometrics|November 12, 2020
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassificationLauren J Beesley, Bhramar Mukherjee
The Review of Scientific Instruments|October 2, 2021
Reconstructing magnetic deflections from sets of proton images using differential evolutionJoseph M Levesque, Lauren J Beesley
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
Plos Computational Biology|June 3, 2022
Addressing delayed case reporting in infectious disease forecast modelingLauren J Beesley, Dave Osthus, Sara Y Del Valle
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 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Medrxiv : the Preprint Server for Health Sciences|January 5, 2021
Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studiesLauren J Beesley, Bhramar Mukherjee
Statistics in Medicine|September 22, 2022
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassificationLauren J Beesley, Bhramar Mukherjee
Biometrics|November 12, 2020
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassificationLauren J Beesley, Bhramar Mukherjee
The Review of Scientific Instruments|October 2, 2021
Reconstructing magnetic deflections from sets of proton images using differential evolutionJoseph M Levesque, Lauren J Beesley
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
Plos Computational Biology|June 3, 2022
Addressing delayed case reporting in infectious disease forecast modelingLauren J Beesley, Dave Osthus, Sara Y Del Valle
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 4