Microsimulation modeling in oncology Ç Çağlayan, H Terawaki, Q Chen, A Rai, T Ayer, CR Flowers JCO clinical cancer informatics 2, 1-11, 2018 | 26 | 2018 |
A population‐based multistate model for diffuse large B‐cell lymphoma–specific mortality in older patients Ç Çağlayan, JS Goldstein, T Ayer, A Rai, CR Flowers Cancer 125 (11), 1837-1847, 2019 | 17 | 2019 |
A data-driven framework for identifying intensive care unit admissions colonized with multidrug-resistant organisms Ç Çaǧlayan, SL Barnes, LL Pineles, AD Harris, EY Klein Frontiers in Public Health 10, 853757, 2022 | 9 | 2022 |
A data-driven framework for identifying intensive care unit admissions colonized with multidrug-resistant organisms C Caglayan, SL Barnes, LL Pineles, AD Harris, EY Klein Front Public Health 10, 2022 | 7 | 2022 |
Assessing the effectiveness of treatment sequences for older patients with high-risk follicular lymphoma with a multistate model Ç Çağlayan, H Terawaki, T Ayer, JS Goldstein, A Rai, Q Chen, C Flowers Clinical Lymphoma Myeloma and Leukemia 19 (5), 300-309. e5, 2019 | 7 | 2019 |
Physician staffing in emergency rooms (ERs): Opening the black-box of ER care via a multi-class multi-stage network Ç Çağlayan, Y Liu, T Ayer, K Pasupathy, D Nestler Available at SSRN 3400900, 2019 | 4 | 2019 |
Assessing multi-modality breast cancer screening strategies for brca 1/2 gene mutation carriers and other high-risk populations Ç Çağlayan, T Ayer, DU Ekwueme Available at SSRN 3139779, 2018 | 4 | 2018 |
Staffing and capacity planning for SARS-CoV-2 monoclonal antibody infusion facilities: a performance estimation calculator based on discrete-event simulations Ç Çaglayan, J Thornhill, MA Stewart, AS Lambrou, D Richardson, ... Frontiers in Public Health 9, 770039, 2022 | 3 | 2022 |
Team based, risk adjusted staffing during a pandemic: an agent based approach VG Prabhu, K Taaffe, C Caglayan, T Isik, Y Song, W Hand 2020 Winter Simulation Conference (WSC), 747-758, 2020 | 2 | 2020 |
Optimizing the screening algorithm for critical congenital heart disease: a data-driven approach M Oster, C Caglayan, R Simeone, P Keskinocak, T Ayer Circulation 132 (suppl_3), A15653-A15653, 2015 | 2 | 2015 |
Factors Affecting the Clinical Course of Follicular Lymphoma: A Multistate Survival Analysis Using Individual Patient Data from Eight Multicenter Randomized Clinical Trials JG Dixon, Ç Çağlayan, D Chihara, T Nielsen, N Dimier, J Zheng, AK Wall, ... Clinical Lymphoma Myeloma and Leukemia 22 (11), e1009-e1018, 2022 | | 2022 |
Predicting Vancomycin-Resistant Enterococci (VRE) and Carbapenem-Resistant Organism (CRO) Colonization in the Intensive Care Unit Ç Çaǧlayan, S Levin, AM Milstone, P Tamma, P Simner, K Goodman, ... Infection Control & Hospital Epidemiology 41 (S1), s45-s45, 2020 | | 2020 |
A Multistate Survival Analysis for Patients with Follicular Lymphoma (FL) Using 13 First-Line Randomized Trials from FL Analysis of Surrogate Hypothesis (FLASH) Group C Caglayan, J Dixon, A Wall, GA Salles, E Hoster, W Hiddemann, ... Blood 134, 2812, 2019 | | 2019 |
THE CLINICAL COURSE OF DIFFUSE LARGE B‐CELL LYMPHOMA (DLBCL) OVER TIME: A MULTISTATE SURVIVAL ANALYSIS USING META‐DATA FROM 13 FIRST‐LINE RANDOMIZED TRIALS Ç Çağlayan, C Flowers Hematological Oncology 37, 247-248, 2019 | | 2019 |
A Multi-State Model for Follicular Lymphoma in Patients with Early Progression to Second Line Therapy C Caglayan, H Terawaki, T Ayer, JS Goldstein, A Rai, Q Chen, C Flowers Blood 130, 2187, 2017 | | 2017 |
A Multi-State Model for Senior Patients with Diffuse Large B Cell Lymphoma C Caglayan, JS Goldstein, A Rai, C Flowers Blood 130, 1558, 2017 | | 2017 |
A multistate model for follicular lymphoma (FL) patients (pts) who experience early progression. H Terawaki, C Caglayan, Q Chen, A Rai, T Ayer, C Flowers Journal of Clinical Oncology 35 (15_suppl), e18164-e18164, 2017 | | 2017 |