#externalvalidity — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #externalvalidity, aggregated by home.social.
-
#Age of Patients in Trials Submitted to the #FDA Versus Age in Average Patients With #Cancer
"...Efforts to include more representative study participants in clinical #trials should be intensified..."
#ExternalValidity #Research #Geriatrics #Frailty #Science #ClinicalTrials #RCT #Drugs #Pharma #MedMastodon
https://agsjournals.onlinelibrary.wiley.com/doi/abs/10.1111/jgs.70000?campaign=wolearlyview
-
Thank you to Mona Kanaan (UoYork, UK) for asking me to present in the panel
"From study to target populations: Addressing #ExternalValidity through the lens of Transportability and Generalisability"
(1:50pm, #MedicalStatistics)I'll present on #MeasurementInvariance 😊
-
Thank you to Mona Kanaan (UoYork, UK) for asking me to present in the panel
"From study to target populations: Addressing #ExternalValidity through the lens of Transportability and Generalisability"
(1:50pm, #MedicalStatistics)I'll present on #MeasurementInvariance 😊
-
Thank you to Mona Kanaan (UoYork, UK) for asking me to present in the panel
"From study to target populations: Addressing #ExternalValidity through the lens of Transportability and Generalisability"
(1:50pm, #MedicalStatistics)I'll present on #MeasurementInvariance 😊
-
Thank you to Mona Kanaan (UoYork, UK) for asking me to present in the panel
"From study to target populations: Addressing #ExternalValidity through the lens of Transportability and Generalisability"
(1:50pm, #MedicalStatistics)I'll present on #MeasurementInvariance 😊
-
Thank you to Mona Kanaan (UoYork, UK) for asking me to present in the panel
"From study to target populations: Addressing #ExternalValidity through the lens of Transportability and Generalisability"
(1:50pm, #MedicalStatistics)I'll present on #MeasurementInvariance 😊
-
🥁 Reweighting a trial for #ExternalValidity, the target average treatment is best estimated with covariates = treatment effect modifiers (shifted or not)
Covariates that are shifted between the 2 samples but not treatment effect modifiers increase the variance while non-shifted but treatment effect modifiers do not
4/n