Automating network meta‐analysis

By G. van Valkenhoef, Guobing Lu, Bert O. de Brock, Hans L. Hillege, A. Ades, N. Welton. Research Synthesis Methods, 2012

719 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/81897ea97fd9a285cb3229433585a9713aaf7419

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Ian R. White
2. G. van Valkenhoef
3. N. Welton
4. S. Dias
5. A. Ades
6. Georgia Salanti
7. Julian P. T. Higgins
8. A. Chaimani

Citations in the corpus

• Network Meta-analysis (2015, methodology): “I briefly describe the general model here; more details are given by White et al. (2012). The general model is a model for treatment contrasts (the “contrast-based” model of Salanti et al.”
• Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis (2015, methodology): “Thus, as for consistency models, the choice of basic parameters and study reference treatments is arbitrary (van Valkenhoef et al ., 2012a).”