Combining randomized and non‐randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle… - Research synthesis … - Wiley Online Library
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two‐stage network meta‐regression prediction model that …

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network meta-regression prediction model that …

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle… - arXiv preprint arXiv …, 2023 - arxiv.org
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network meta-regression prediction model that …

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle… - Research synthesis … - pubmed.ncbi.nlm.nih.gov
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network meta-regression prediction model that …

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments.

K Chalkou, T Hamza, P Benkert, J Kuhle… - Research Synthesis …, 2024 - europepmc.org
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network meta-regression prediction model that …

Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments.

K Chalkou, TAA Hamza, P Benkert, J Kuhle… - Research synthesis …, 2024 - boris.unibe.ch
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network meta-regression prediction model that …

[PDF][PDF] Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle, C Zecca… - 2024 - pure.york.ac.uk
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network metaregression prediction model that …

[PDF][PDF] Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle, C Zecca… - 2024 - eprints.whiterose.ac.uk
Some patients benefit from a treatment while others may do so less or do not benefit at all.
We have previously developed a two-stage network metaregression prediction model that …

[引用][C] Combining randomised and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert, J Kuhle… - Research Synthesis …, 2024 - pure.york.ac.uk
Combining randomised and non-randomized data to predict heterogeneous effects of competing
treatments — York Research Database Skip to main navigation Skip to search Skip to main …

[引用][C] Combining randomised and non-randomized data to predict heterogeneous effects of competing treatments

K Chalkou, T Hamza, P Benkert… - Research Synthesis …, 2024 - eprints.whiterose.ac.uk
Combining randomised and non-randomized data to predict heterogeneous effects of
competing treatments - White Rose Research Online White Rose logo White Rose …