What is another word for Proportional Hazards Models?
Pronunciation: [pɹəpˈɔːʃənə͡l hˈazədz mˈɒdə͡lz] (IPA) 
Proportional hazards models, also known as Cox regression models, are statistical tools used to analyze survival data in research and clinical studies. These models allow researchers to examine the relationship between explanatory variables and the hazard rate, representing the risk of an event occurring over time. Although "proportional hazards models" is the commonly used term, there are several synonymous phrases used to describe these models. Some alternatives include Cox proportional hazards models and Cox models. These names all refer to the same statistical technique and are often used interchangeably. Researchers should be familiar with these synonyms to effectively navigate the literature and understand the methodology behind survival analysis.
