RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it #Open…
RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it #Open…
RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it #Open…
#Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it #OpenAccess 🔓 @tmorris_mrc #StatsTwitter . . . https://t.co/FEZj78Vnau
RT @YockeyAndrew: Some cool ways to handle Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data https:/…
Some cool ways to handle Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data https://t.co/WAyAmr2ZBB
Amigos investigadores de @GRADEPeru @pucp @UdelPacifico @esanperu @UNMSM_ y otros que trabajan con #interruptedtimeseries y #BigData en #socialstudies #education #socialscience, lectura de potencial interés: https://t.co/AYQjYnLGLO
RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it here…
RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it here…
RT @MRCCTU: #Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it here…
#Publication - Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Read it here for free 🔓: https://t.co/FEZj78Vnau #StatsTwitter #MissingData @tmorris_mrc
One for Epidemiology Journal Club? Backing up the assumption of randomness of missing data is always the difficult part in clinical data @Lester_Sue1 @huaileng_jess @dr_rachelblack @samwhittle
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
後で読む。
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
RT @kaz_yos: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy…
Adding this to the digital reading pile.
Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data - PubMed https://t.co/alMFBy0N2J
Mediante teoría y simulaciones, Juan Carlos ha estudiado un método para resolver este problema. Los detalles de dicho problema y su solución son explicados en forma amigable en esta publicación 👇👇https://t.co/IL8Bt5DOQp
Open Access UCL Research: Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data https://t.co/8NiJQl613D
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
RT @t_mpham: Very interesting work led by @juanbazoa on missing individual-level data in interrupted time series analysis. https://t.co/J5I…
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
Very interesting work led by @juanbazoa on missing individual-level data in interrupted time series analysis.
RT @tmorris_mrc: New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's…
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
New paper! @juanbazoa has been thinking about the implications of missing individual-level data on ITS-type analyses. It's very easy to produce bias with aggregate-level analysis. Have a read!
RT @juanbazoa: #newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mi…
#newpaper Are you handling missing data at individual-level in interrupted time series? 1) avoid data aggregation, 2) use mixed models and multilevel multiple imputation instead. So lucky to work this with @i_petersen @tmorris_mrc @t_mpham and J Carpenter!