@tomayates Ah, in which case maybe this paper is relevant? https://t.co/ncYmmbpsjF
RT @BenediktEhinger: I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton,…
RT @BenediktEhinger: I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton,…
Terrific! @FloImbertpt 😉
RT @BenediktEhinger: I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton,…
This actually underestimates the problem because the distribution on the x axis is often right skewed, so categorization is not equal along the x axis.
RT @BenediktEhinger: I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton,…
RT @BenediktEhinger: I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton,…
I really liked these minimalistic, and super clean&clear plots! https://t.co/AEtwcdkEDg @Brennan_Kahan Helen Rushton, @tmorris_mrc @statnav https://t.co/AeKYI2AStA
@anecdatally @EpiSconroy @EpiEllie Mollie, I think this is off track but may be vaguely relevant: https://t.co/Eqj5IXUPtE
@Michael_Harhay @tmorris_mrc That might be it. I think FP can be useful (and often much better than dichotomisation - see our article on this for RCTs https://t.co/0H4xbzCfTh), but just find splines nicer overall
A comparison of methods to adjust for continuous covariates in the analysis of randomised tri... https://t.co/bgiagdcVzQ #bmcmedresmethodol
RT @MRCCTU: #Publication - A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/i…
#Publication - A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/iGsv8nsBfq
RT @MRCCTU: Publication: A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/ehH2…
RT @MRCCTU: Publication: A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/ehH2…
Publication: A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/ehH2Hg4gHI
Open Access UCL Research: A comparison of methods to adjust for continuous covariates in the analysis of... https://t.co/VMxkmP6YbH
RT @Brennan_Kahan: How should we adjust for continuous covariates in analysis of RCTs? (hint: not dichotomisation/categorisation) https://t…
RT @hildabast: If you wonder about the best way to adjust for continuous covariates in RCTs without losing power, here's help: https://t.co…
RT @hildabast: If you wonder about the best way to adjust for continuous covariates in RCTs without losing power, here's help: https://t.co…
RT @hildabast: If you wonder about the best way to adjust for continuous covariates in RCTs without losing power, here's help: https://t.co…
RT @hildabast: If you wonder about the best way to adjust for continuous covariates in RCTs without losing power, here's help: https://t.co…
If you wonder about the best way to adjust for continuous covariates in RCTs without losing power, here's help: https://t.co/4idG1AwS3e
Analysing a randomised trial? Don't just assume continuous covariates have linear effects! https://t.co/zIFcJtB5D5 @Brennan_Kahan
A comparison of methods to adjust for continuous covariates in the analysis of randomised trials https://t.co/JrvosnSWGe
RT @arche4evidence: A comparison of methods to adjust for continuous covariates in the analysis of randomised #clinicaltrials - https://t.c…
A comparison of methods to adjust for continuous covariates in the analysis of randomised #clinicaltrials - https://t.co/aq5lcdAlKi
RT @mdimairo: Never categorise continuous covariates in the analysis of RCTs. @Brennan_Kahan & @tmorris_mrc https://t.co/y8EZtqU9Z9 #bmcmed…
RT @mdimairo: Never categorise continuous covariates in the analysis of RCTs. @Brennan_Kahan & @tmorris_mrc https://t.co/y8EZtqU9Z9 #bmcmed…
Never categorise continuous covariates in the analysis of RCTs. @Brennan_Kahan & @tmorris_mrc https://t.co/y8EZtqU9Z9 #bmcmedresmethodol
RT @SCPHRP: A comparison of methods to adjust for continuous covariates in the analysis of randomised tri... https://t.co/2ZvZYIVcqR #bmcme…
RT @SCPHRP: A comparison of methods to adjust for continuous covariates in the analysis of randomised tri... https://t.co/2ZvZYIVcqR #bmcme…
A comparison of methods to adjust for continuous covariates in the analysis of randomised tri... https://t.co/2ZvZYIVcqR #bmcmedresmethodol
RT @Brennan_Kahan: How should we adjust for continuous covariates in analysis of RCTs? (hint: not dichotomisation/categorisation) https://t…
How should we adjust for continuous covariates in analysis of RCTs? (hint: not dichotomisation/categorisation) https://t.co/kKqUBnwfoc