- Robust Bayesian seemingly unrelated regression model(2019)
Authors: Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries Benoit
Pages: 1135 - 1157
- High-dimensional prediction of binary outcomes in the presence of between-study heterogeneity(2019)
Authors: Chamberlain Mbah, Jan De Neve
Pages: 2848 - 2867
- A new approach for modeling patient overall radiosensitivity and predicting multiple toxicity endpoints for breast cancer patients(2018)
Authors: Chamberlain Mbah, Charlotte De Sutter, Kimberly Schiettecatte, Leen Paelinck, Wilfried De Neve, Catharine West, Gustavo Amorim
Pages: 604 - 612
- Challenges in predicting normal tissue toxicity in radiotherapy(2018)
Authors: Chamberlain Mbah
- Pitfalls in prediction modeling for normal tissue toxicity in radiation therapy: an illustration with the individual radiation sensitivity and mammary carcinoma risk factor investigation cohorts
Authors: Chamberlain Mbah, Jan De Neve, Jenny Chan-Claude, Petra Seibod, Akke Botma, Catherine West, Kim De Ruyck
Pages: 1466 - 1476
- Prevalence and prognosis of low-volume, oligorecurrent, hormone-sensitive prostate cancer amenable to lesion ablative therapy
Authors: Aurélie De Bruycker, Bieke Lambert, Tom Claeys, Louke Delrue, Chamberlain Mbah, Gert De Meerleer, Filip De Vos, Kathia De Man, Nicolaas Lumen, Filip Ameye, et al.
Pages: 815 - 821