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maclomaclee committed Jan 15, 2024
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6 changes: 3 additions & 3 deletions LSR3_animal_analysis.Rmd
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Expand Up @@ -1034,9 +1034,9 @@ NMD_S_LMA <- run_ML_NMD(df, "TvC", "Locomotor activity", 0.5)
forest_metafor_NMD(NMD_S_LMA, "locomotor hyperactivity")
```

For TAAR1 Agonist v Control, TAAR1 interventions had a pooled effect on locomotor activity of NMD = `r NMD_S_LMA[["beta"]]` (95% CI: `r NMD_S_LMA[["ci.lb"]]` to `r NMD_S_LMA[["ci.ub"]]`) with a prediction interval of `r predict(NMD_S_LMA)$pi.lb` to `r predict(NMD_S_LMA)$pi.ub`. For reference the pooled effect size for SMD was `r SMD_S_LMA[["beta"]]` (95% CI: `r SMD_S_LMA[["ci.lb"]]` to `r SMD_S_LMA[["ci.ub"]]`).
For TAAR1 Agonist v Control, TAAR1 interventions had a pooled effect on locomotor activity of NMD = `r NMD_S_LMA[["beta"]][1]` (95% CI: `r NMD_S_LMA[["ci.lb"]]` to `r NMD_S_LMA[["ci.ub"]]`) with a prediction interval of `r predict(NMD_S_LMA)$pi.lb` to `r predict(NMD_S_LMA)$pi.ub`. For reference the pooled effect size for SMD was `r SMD_S_LMA[["beta"]][1]` (95% CI: `r SMD_S_LMA[["ci.lb"]]` to `r SMD_S_LMA[["ci.ub"]]`).

`r NMD_S_LMA[["k"]` experimental comparisons were reported in `r NMD_S_LMA[["s.nlevels"]][3]` experiments reported from `r NMD_S_LMA[["s.nlevels"]][2]` publications and involving `r NMD_S_LMA[["s.nlevels"]][1]` different animal strains.Between-strain variance was `r round(NMD_S_LMA$sigma2[1], 3)`, between-study variance was `r round(NMD_S_LMA$sigma2[2], 3)`, and within-study variance (between experiments) was `r round(NMD_S_LMA$sigma2[3], 3)`.
`r NMD_S_LMA[["k"]]` experimental comparisons were reported in `r NMD_S_LMA[["s.nlevels"]][3]` experiments reported from `r NMD_S_LMA[["s.nlevels"]][2]` publications and involving `r NMD_S_LMA[["s.nlevels"]][1]` different animal strains.Between-strain variance was `r round(NMD_S_LMA$sigma2[1], 3)`, between-study variance was `r round(NMD_S_LMA$sigma2[2], 3)`, and within-study variance (between experiments) was `r round(NMD_S_LMA$sigma2[3], 3)`.

## 2.5. Reporting bias/small-study effects

Expand Down Expand Up @@ -1695,7 +1695,7 @@ NMD_S_cog <- run_ML_NMD(df, "TvC", "Cognition", 0.5)
forest_metafor_NMD(NMD_S_cog, "Cognition")
```

For TAAR1 Agonist v Control, TAAR1 interventions had a pooled effect on cognition of NMD = `r NMD_S_cog[["beta"]]` (95% CI: `r NMD_S_cog[["ci.lb"]]` to `r NMD_S_cog[["ci.ub"]]`) with a prediction interval of `r predict(NMD_S_cog)$pi.lb` to `r predict(NMD_S_cog)$pi.ub`. For reference the pooled effect size for SMD was `r SMD_S_Cog[["beta"]]` (95% CI: `r SMD_S_Cog[["ci.lb"]]` to `r SMD_S_Cog[["ci.ub"]]`).
For TAAR1 Agonist v Control, TAAR1 interventions had a pooled effect on cognition of NMD = `r NMD_S_cog[["beta"]][1]` (95% CI: `r NMD_S_cog[["ci.lb"]]` to `r NMD_S_cog[["ci.ub"]]`) with a prediction interval of `r predict(NMD_S_cog)$pi.lb` to `r predict(NMD_S_cog)$pi.ub`. For reference the pooled effect size for SMD was `r SMD_S_Cog[["beta"]]` (95% CI: `r SMD_S_Cog[["ci.lb"]]` to `r SMD_S_Cog[["ci.ub"]]`).

`r NMD_S_cog[["k"]]` experimental comparisons were reported in `r NMD_S_cog[["s.nlevels"]][3]` experiments reported from `r NMD_S_cog[["s.nlevels"]][2]` publications and involving `r NMD_S_cog[["s.nlevels"]][1]` different animal strains.Between-strain variance was `r round(NMD_S_cog$sigma2[1], 3)`, between-study variance was `r round(NMD_S_cog$sigma2[2], 3)`, and within-study variance (between experiments) was `r round(NMD_S_cog$sigma2[3], 3)`.

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