Skip to content

Python code to apply rank aggregation methods to network meta-analysis

License

Notifications You must be signed in to change notification settings

complexParide/rankagg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

The RankAgg module

This Python module implements different rank aggregation methods, ready to be applied to Network Meta-Analysis (NMA) datasets. This module has been used to compute the results in the paper:

[this paper by Crisafulli et al. is still a work in progress]

In the example notebook, we use the same data used by the paper, extracted from a study by Leicht et al.:

Leucht S, Cipriani A, Spineli L, Mavridis D, Orey D, Richter F, Samara M, Barbui C, Engel RR, Geddes JR, Kissling W, Stapf MP, Lässig B, Salanti G, Davis JM. Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: a multiple-treatments meta-analysis. Lancet. 2013 Sep 14;382(9896):951-62. doi: 10.1016/S0140-6736(13)60733-3. Epub 2013 Jun 27. Erratum in: Lancet. 2013 Sep 14;382(9896):940. PMID: 23810019.

About

Python code to apply rank aggregation methods to network meta-analysis

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published