Bayesian sparse modeling to identify high‐risk subgroups in meta‐analysis of safety data
Sign Up to like & getrecommendations! Published in 2022 at "Research Synthesis Methods"
DOI: 10.1002/jrsm.1597
Abstract: Meta‐analysis allows researchers to combine evidence from multiple studies, making it a powerful tool for synthesizing information on the safety profiles of new medical interventions. There is a critical need to identify subgroups at high… read more here.
Keywords: meta analysis; high risk; risk; identify high ... See more keywords
An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1083713
Abstract: Objective Locoregionally advanced nasopharyngeal carcinoma (LA-NPC) patients, even at the same stage, have different prognoses. We aim to construct a prognostic nomogram for predicting the overall survival (OS) to identify the high-risk LA-NPC patients. Materials… read more here.
Keywords: risk patients; npc patients; high risk; risk ... See more keywords