exercise | R Documentation |

Lawlor & Hopker (2001) performed a meta-analysis of trials of exercise in the management of depression, which was subsequently analysed using meta- regression (Higgins & Thompson 2004) with duration of treatment as a covariate. There is a possible outlier, the study by Reuter. While there are additional predictors, it seems excessive to use them given the small number of studies.

exercise

A data frame with 10 observations on the following 9 variables.

`study`

study author

`smd`

study effect estimate

`varsmd`

study effect variance

`sesmd`

study effect standard error

`abstract`

study available as abstract only?

`duration`

length of study in weeks

`itt`

intention to treat analysis?

`alloc`

outcome assessor blinded

`phd`

phd thesis?

Higgins and Thompson (2004)

Higgins, J. P. T., & Thompson, S. G. (2004). Controlling the risk of spurious findings from meta-regression. Statistics in Medicine, 23(11), 166382. doi:10.1002/sim.1752

Lawlor, D. A., & Hopker, S. W. (2001). The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ, 322(31 March), 18.

exercise1 <- metaplus(smd, sqrt(varsmd), mods = duration, slab = study, cores = 1, data = exercise) exercise2 <- metaplus(smd, sqrt(varsmd), mods = cbind(duration, itt), slab = study, cores = 1, data = exercise)

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