# Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identifying-confounders-using-bayesian-networks-and-estimating-treatment-effect/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Melle Sieswerda,Shixuan Xie,Ruby van Rossum,Iñigo Bermejo,Gijs Geleijnse,Katja K.H. Aben,Felice N. van Erning,V.E.P.P. Lemmens,André Dekker,Xander Verbeek |
| Citations | 8 |
| DOI | 10.1200/cci.22.00080 |
| Fields | Computer Science,Mathematics,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ascopubs.org/doi/pdf/10.1200/CCI.22.00080?role=tab |
| OpenAlex ID | https://openalex.org/W4313451211 |
| PMID | 36595730 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Melle Sieswerda](https://scholariq.org/researchers/melle-sieswerda/)

## Paper primary topic

- [Advanced Causal Inference Techniques](https://scholariq.org/topics/advanced-causal-inference-techniques/)

## Paper topics

- [Advanced Causal Inference Techniques](https://scholariq.org/topics/advanced-causal-inference-techniques/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)
- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.