metalr_or: Likelihood ratio meta-analysis for combining odds ratios in...
In LaminJuwara/metalr: Likelihood ratio meta-analysis

Description Usage Arguments Value References Examples

Based on the method proposed by Dormuth et al, 2016, the function estimates traditional 95% confidence intervals and intrinsic confidence intervals for combined effect estimates (OR) in meta-analysis. It also returns an estimate of heterogeneity accross studies as well as Isq statistics in random meta-analysis.

1	metalr_or(idata, refval, num_iter, increm, method = "random")

`idata`	A dataframe of 4 columns for cases control pairs for treatments
`refval`	The reference value for the log of the alternate hypothesis
`num_iter`	The number of iterations or steps from the alternate hypothesis
`increm`	The quantity of increments of the refval upto the number of iterations
`method`	The meta-analytic method i.e. fixed or random effect method.

Total_RE : A dataframe of total effect estimate from meta analysis, the 95% CIs and intrinsic CIs.

Tausq : Measure of heterogeneity between the studies used in the meta-analysis in random effect meta-analysis.

Isq : The I^2 statistics

meta_results : Dataframe effect estimates from all the studies, the 95% confidence limits and the 95% intrinsic confidence limits.

Dormuth, Colin R., Kristian B. Filion, and Robert W. Platt. "Likelihood ratio meta-analysis: New motivation and approach for an old method." Contemporary clinical trials 47 (2016): 259-265.

## Not run: 
# statin potency and acute kidney injury data
data("statindata")
metalr_or(idata=statindata[,2:5],refval=0,num_iter=3000,increm=0.001,method = "random")

## End(Not run)