[R-meta] Time as indicator vs time as meaning
Stefanou Revesz
@te|@noureve@z @end|ng |rom gm@||@com
Sun Oct 10 23:28:46 CEST 2021
Resending Model 2:
#***********************
MODEL 2:
#***********************
rma.mv(yi ~ time_btw + time_wthn, vi,
random =
list(~ time_wthn | study, ~time_wthn | study), struct
= c("GEN","CAR"),data=data)
Variance Components:
outer factor: study (nlvls = 49)
inner term: ~time_wthn (nlvls = 9)
estim sqrt fixed rho: intr tm_w
intrcpt 0.4034 0.6351 no - no
time_wthn 0.1141 0.3377 no 1.0000 -
outer factor: study (nlvls = 49)
inner factor: time_wthn (nlvls = 9)
estim sqrt fixed
gamma^2 0.0770 0.2775 no
phi 0.0000 no
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.1155 0.1861 0.6204 0.5350 -0.2493 0.4802
time_btw 0.3184 0.1815 1.7540 0.0794 -0.0374 0.6741 .
time_wthn 0.3247 0.0658 4.9344 <.0001 0.1957 0.4536 ***
On Sun, Oct 10, 2021 at 4:24 PM Viechtbauer, Wolfgang (SP)
<wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
>
> >-----Original Message-----
> >From: Stefanou Revesz [mailto:stefanourevesz using gmail.com]
> >Sent: Sunday, 10 October, 2021 23:03
> >To: Viechtbauer, Wolfgang (SP)
> >Cc: R meta
> >Subject: Re: [R-meta] Time as indicator vs time as meaning
> >
> >ATTACHMENT(S) REMOVED: image.png
> >
> >Thanks! Reporting back the results for two models (note: "time_wk" =
> >"time_meaning_wks").
> >In model 1, I used "time_wk" to the left of | for "CAR".
> >In model 2, I used "time_whtn" to the left of | for "CAR".
> >In both models, rho is estimated to be 1. But the likelihood profile
> >for rho seems ok for both models (attached).
> >
> >However, in model 1, phi is estimated to be 0.1170. In model 2, phi is
> >estimated to be 0. In both models, the likelihood profiles for phi
> >seem ok.
> >Which phi, then, seems appropriate?
> >
> >Thank you,
> >Stefanou
> >
> >#******************************
> >MODEL 1:
> >#******************************
> >rma.mv(yi ~ time_btw + time_wthn, vi,
> > random =
> > list(~ time_wthn | study, ~time_wk | study), struct =
> >c("GEN","CAR"),data=data)
> >
> >Variance Components:
> >
> >outer factor: study (nlvls = 49)
> >inner term: ~time_wk (nlvls = 12)
> >
> > estim sqrt fixed rho: intr tm_w
> >intrcpt 0.1306 0.3614 no - no
> >time_wk 0.0236 0.1536 no 1.0000 -
> >
> >outer factor: study (nlvls = 49)
> >inner factor: time_wk (nlvls = 12)
> >
> > estim sqrt fixed
> >gamma^2 0.0703 0.2652 no
> >phi 0.0544 no
> >
> >Model Results:
> >
> > estimate se zval pval ci.lb ci.ub
> >intrcpt 0.0049 0.1816 0.0272 0.9783 -0.3510 0.3608
> >time_btw 0.3399 0.2164 1.5708 0.1162 -0.0842 0.7641
> >time_wthn 0.2837 0.0708 4.0064 <.0001 0.1449 0.4224 ***
>
> Something doesn't match up here. The first part of the 'random' formula says '~ time_wthn | study' but the output says that the inner term is ~time_wk.
>
> >#******************************
> >MODEL 2:
> >#******************************
> >rma.mv(yi ~ time_btw + time_wthn, vi,
> > random =
> > list(~ time_wthn | study, ~time_wthn | study), struct
> >= c("GEN","CAR"),data=data)
> >Variance Components:
> >
> >outer factor: study (nlvls = 49)
> >inner term: ~time_wthn (nlvls = 9)
> >
> > estim sqrt fixed rho: intr tm_w
> >intrcpt 0.4034 0.6351 no - no
> >time_wthn 0.1141 0.3377 no 1.0000 -
> >
> >outer factor: study (nlvls = 49)
> >inner factor: time_wthn (nlvls = 9)
> >
> > estim sqrt fixed
> >gamma^2 0.0770 0.2775 no
> >phi 0.0000 no
> >
> >Test for Residual Heterogeneity:
> >QE(df = 402) = 1450.3879, p-val < .0001
> >
> >Test of Moderators (coefficients 2:3):
> >QM(df = 2) = 24.4255, p-val < .0001
> >
> >Model Results:
> >
> > estimate se zval pval ci.lb ci.ub
> >intrcpt 0.1155 0.1861 0.6204 0.5350 -0.2493 0.4802
> >time_btw 0.3184 0.1815 1.7540 0.0794 -0.0374 0.6741 .
> >time_wthn 0.3247 0.0658 4.9344 <.0001 0.1957 0.4536 ***
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