deft_do {metawho} | R Documentation |
Implement deft method
Description
'deft' method is a meta-analytical approach to pool conclusion from multiple studies. More details please see references.
Usage
deft_do(prepare, group_level, method = "FE")
Arguments
prepare |
a result |
group_level |
level of subgroup, should be a character vector with
length 2 and the reference should put in the first. For example, if you
have 'Male' and 'Female' groups and want compare 'Female' with 'Male', then
should set |
method |
character string specifying whether a fixed- or a random/mixed-effects model should be fitted. A fixed-effects model (with or without moderators) is fitted when using |
Details
About model fit, please see metafor::rma()
.
Value
a list
which class is 'deft'.
Author(s)
Shixiang Wang w_shixiang@163.com
References
Fisher, David J., et al. "Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?." bmj 356 (2017): j573.
Wang, Shixiang, et al. "The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients' sex." International journal of cancer (2019).
Examples
data("wang2019")
deft_do(wang2019, group_level = c("Male", "Female"))