exrehab: Example data for a meta-analysis of dichotomous outcomes:...

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Description

A dataset consisting of 14 empirical studies used for a meta-analysis in Anderson et al. (2016). The outcome of interest was risk of hospital admission of patients with coronary heart disease within follow up duration. Compared was exercise-based cardiac rehabilitation (treatment) with usual care (control).

Usage

exrehab

Format

A data frame with 14 rows and 15 variables:

study_name

short name of each study

year

publication year of each study

ai

number of patients in the treatment group with an event (hospital admission) for each study.

bi

number of patients in the treatment group with no event for each study.

ci

number of patients in the control group with an event (hospital admission) for each study.

di

number of patients in the control group with no event for each study.

n1i

number of patients in the treatment group for each study, (ai + bi).

n2i

number of patients in the control group for each study, (ci + di).

rr

relative risk of an event for treatment vs. control, (ai/n1i)/(ci/n2i).

or

odds ratio of an event for treatment vs. control, (ai*di)/(bi*ci).

logrr

natural logarithm of the relative risk (rr) for meta-analysis.

logrr_se

standard error of the natural logarithm of the relative risk for meta-analysis, sqrt(1/ai + 1/ci - 1/(ai + bi) - 1/(ci + di)).

logor

natural logarithm of the odds ratio (or) for meta-analysis.

logor_se

standard error of the natural logarithm of the odds ratio for meta-analysis, sqrt(1/ai + 1/bi +1/ci + 1/di).

followup

dichotomous moderator: follow up duration.

References

Anderson, L., Oldridge, N., Thompson, D. R., Zwisler, A. D., Rees, K., Martin, N., & Taylor, R. S. (2016). Exercise-based cardiac rehabilitation for coronary heart disease: Cochrane systematic review and meta-analysis. Journal of the American College of Cardiology, 67, 1-12.

metaviz documentation built on April 14, 2020, 7:16 p.m.