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

Timothy L Lash

Showing results (231-240 of 368) with videos related to

Pageof 37
Sort By:
Epidemiology (Cambridge, Mass.)|May 18, 2018
Re: Beta Blockers and Improved Progression-Free Survival in Patients With Advanced HER2 Negative Breast CancerGitte Vrelits Sørensen, Deirdre P Cronin-Fenton, Henrik Toft Sørensen, et al.
JAMA Neurology|July 24, 2023
Association of Early-, Middle-, and Late-Life Depression With Incident Dementia in a Danish CohortHolly Elser, Erzsébet Horváth-Puhó, Jaimie L Gradus, et al.
Pharmacoepidemiology and Drug Safety|February 20, 2019
Validating registry data on statins prescriptions by blood measurementsAnders H Riis, Rune Erichsen, Eva B Ostenfeld, et al.
American Journal of Epidemiology|April 20, 2021
Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National RegistriesJaimie L Gradus, Anthony J Rosellini, Erzsébet Horváth-Puhó, et al.
American Journal of Epidemiology|April 20, 2021
Gradus et al. Respond to "Machine Learning and Suicide Prevention: New Directions"Jaimie L Gradus, Timothy L Lash, Anthony J Rosellini, et al.
International Journal of Cancer|August 25, 2017
The risk of preterm birth and growth restriction in pregnancy after cancerKathleen P Hartnett, Kevin C Ward, Michael R Kramer, et al.
Clinical Epidemiology|August 5, 2021
Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied ExampleJulie Barberio, Thomas P Ahern, Richard F MacLehose, et al.
JAMA Psychiatry|October 24, 2019
Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From DenmarkJaimie L Gradus, Anthony J Rosellini, Erzsébet Horváth-Puhó, et al.
Epidemiology (Cambridge, Mass.)|November 22, 2024
Adjusting Adjustments: Using External Data to Estimate the Impact of Different Confounder Sets on Published AssociationsThomas P Ahern, Lindsay J Collin, Richard F MacLehose, et al.
Annals of the American Thoracic Society|March 20, 2019
Influence of County Sampling on Past Estimates of Latent Tuberculosis Infection PrevalenceMaryam B Haddad, Kala Marks Raz, Andrew N Hill, et al.
Pageof 37

Showing results (231-240 of 368) with videos related to

Sort By:
Pageof 37
Epidemiology (Cambridge, Mass.)|May 18, 2018
Re: Beta Blockers and Improved Progression-Free Survival in Patients With Advanced HER2 Negative Breast CancerGitte Vrelits Sørensen, Deirdre P Cronin-Fenton, Henrik Toft Sørensen, et al.
JAMA Neurology|July 24, 2023
Association of Early-, Middle-, and Late-Life Depression With Incident Dementia in a Danish CohortHolly Elser, Erzsébet Horváth-Puhó, Jaimie L Gradus, et al.
Pharmacoepidemiology and Drug Safety|February 20, 2019
Validating registry data on statins prescriptions by blood measurementsAnders H Riis, Rune Erichsen, Eva B Ostenfeld, et al.
American Journal of Epidemiology|April 20, 2021
Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National RegistriesJaimie L Gradus, Anthony J Rosellini, Erzsébet Horváth-Puhó, et al.
American Journal of Epidemiology|April 20, 2021
Gradus et al. Respond to "Machine Learning and Suicide Prevention: New Directions"Jaimie L Gradus, Timothy L Lash, Anthony J Rosellini, et al.
International Journal of Cancer|August 25, 2017
The risk of preterm birth and growth restriction in pregnancy after cancerKathleen P Hartnett, Kevin C Ward, Michael R Kramer, et al.
Clinical Epidemiology|August 5, 2021
Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied ExampleJulie Barberio, Thomas P Ahern, Richard F MacLehose, et al.
JAMA Psychiatry|October 24, 2019
Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From DenmarkJaimie L Gradus, Anthony J Rosellini, Erzsébet Horváth-Puhó, et al.
Epidemiology (Cambridge, Mass.)|November 22, 2024
Adjusting Adjustments: Using External Data to Estimate the Impact of Different Confounder Sets on Published AssociationsThomas P Ahern, Lindsay J Collin, Richard F MacLehose, et al.
Annals of the American Thoracic Society|March 20, 2019
Influence of County Sampling on Past Estimates of Latent Tuberculosis Infection PrevalenceMaryam B Haddad, Kala Marks Raz, Andrew N Hill, et al.
Pageof 37