A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma,
Author links open overlay panelAaroHaapaniemiAnttiMäkitie
Department of Otorhinolaryngology - Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
Author links open overlay panelPekkaKekolahti
Aalto University, School of Electrical Engineering, Department of Communications and Networking, Finland
Author links open overlay panelOlli-PekkaRyynänen
Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
General Practice Unit, Kuopio University Hospital, Primary Health Care, Kuopio, Finland
Received 5 September 2019, Accepted 9 September 2019, Available online 25 September 2019.

Show less
https://doi.org/10.1016/j.oraloncology.2019.09.007Get rights and content
Highlights
•
Optimal treatment for T2-3 laryngeal squamous cell carcinoma (LSCC) is undecided.

•
Bayesian network (BN) model is used for estimation of treatment outcome from observational data.

•
BN gives a possibility to control for multiple variables with complex dependences.

•
A novel method of disjunctive confounder criterions is adapted.

•
Locoregional control was better in T2-3 LSCC patients who underwent surgery.


View full text
© 2019 Elsevier Ltd. All rights reserved.

Figures (1)

1. 
2.