The median delay, in days, is 14, and the mean is 52 (we have a few studies with long delays, the longest is 3 years (Jalil et al. 2023).
So Iād say, think āabout 2 weeks on average with some lengthy outliersā. Also thereās basically no relationship between delay and effect size.
to replicate in R (from the root directory of our project):
> source('./scripts/libraries.R')
> source('./scripts/load-data.R')
> summary(dat$delay)
Min. 1st Qu. Median Mean 3rd Qu. Max.
4.00 11.50 14.00 52.05 60.00 1095.00
> source('./functions/sum-lm.R') # this is a little function we wrote that puts summary(lm()) into a dplyr-friendly pipe
> dat |> sum_lm(y = d, x = delay)
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.05312 0.02552 2.08181 0.03968
delay 0.00005 0.00019 0.23166 0.81723
Thanks, Seth! I thought you may not have that data easily available because I did not find it in your moderatorsā analysis in Table 2. Do the effect sizes refer to the whole period of the delay (e.g. 14 days), or just to the last part of it (e.g. last day of the 14 days)? It does not seem clear from section 3.2. I would expect a greater decay if the effect sizes refer to the last part of the delay.
Delay indicates the number of days that have elapsed between the beginning of treatment and the final outcome measure. How outcomes are measured varies from study to study, so in some cases itās a 24 hour food recall X number of days after treatment is administered (the last part of it), in others itās a continuous outcome measurement in a cafeteria (the entire period of delay).
This I can say more about!
The median delay, in days, is 14, and the mean is 52 (we have a few studies with long delays, the longest is 3 years (Jalil et al. 2023).
So Iād say, think āabout 2 weeks on average with some lengthy outliersā. Also thereās basically no relationship between delay and effect size.
to replicate in R (from the root directory of our project):
Thanks, Seth! I thought you may not have that data easily available because I did not find it in your moderatorsā analysis in Table 2. Do the effect sizes refer to the whole period of the delay (e.g. 14 days), or just to the last part of it (e.g. last day of the 14 days)? It does not seem clear from section 3.2. I would expect a greater decay if the effect sizes refer to the last part of the delay.
Delay indicates the number of days that have elapsed between the beginning of treatment and the final outcome measure. How outcomes are measured varies from study to study, so in some cases itās a 24 hour food recall X number of days after treatment is administered (the last part of it), in others itās a continuous outcome measurement in a cafeteria (the entire period of delay).