11,587 followers
RT @OOEC_Oxford: PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unas…
227 followers
RT @OOEC_Oxford: PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unas…
1,564 followers
RT @OOEC_Oxford: PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unas…
1,345 followers
RT @OOEC_Oxford: PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unas…
5,646 followers
RT @OOEC_Oxford: PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unas…
11,587 followers
PROMs, which are increasingly used in RCTs, can be particularly susceptible to containing missing data, either due to unasnwered or incomplete questionnaires https://t.co/proh1sLwdf #bmcmedresmethodol @BioMedCentral @HERC_Oxford @ndorms #imputation #missin
11,587 followers
Many factors, including the prevalence of missing data in the study, ... need consideration when choosing an imputation model for missing PROMs data. https://t.co/proh1sLwdf #bmcmedresmethodol @BioMedCentral @HERC_Oxford @ndorms #QoL #RCTs #questionnaires
227 followers
RT @OOEC_Oxford: Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of…
6,275 followers
RT @OOEC_Oxford: Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of…
11,587 followers
Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level https://t.co/proh1sLwdf #bmcmedresmethodol @ndorms @HERC_Oxford @BioMedCentra
11,587 followers
RT @kaz_yos: "Imputation at the score and subscale level outperformed imputation at the item level in small sample sizes (n ≤ 200). Imputat…
6,069 followers
"Imputation at the score and subscale level outperformed imputation at the item level in small sample sizes (n ≤ 200). Imputation at the item level is more accurate for high proportions of item-nonresponse." https://t.co/DiQrwZm1pC
1,074 followers
Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level https://t.co/0FB6FoCP2e