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What is another word for Cox Proportional Hazards Models?

Pronunciation: [kˈɒks pɹəpˈɔːʃənə͡l hˈazədz mˈɒdə͡lz] (IPA)

Cox Proportional Hazards Models, commonly referred to as Cox models, are statistical techniques used in survival analysis to examine the relationship between time-to-event data and explanatory variables. However, synonymous terms for this concept can expand our understanding. One similar term is the Cox regression model, which emphasizes the statistical regression aspect of the analysis. Another synonym for Cox models is proportional hazards regression, highlighting the assumption that the hazards, or risks, for different groups remain proportional over time. Lastly, Cox-PH models is a shortened version of Cox Proportional Hazards Models, often used for brevity. These synonyms provide alternative ways to refer to this powerful statistical tool in survival analysis.
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What are the opposite words for Cox Proportional Hazards Models?

Antonyms for the term "Cox Proportional Hazards Models" would include methods of analysis that are not time-to-event models, such as descriptive statistics or cross-sectional analyses. In these alternative methods, the focus is not specifically on predicting the time until an event occurs. Additionally, other statistical models such as logistic regression or linear regression may not take into account the time dimension of the data, which is a key feature of Cox models. While these alternative models may have their own merits in certain contexts, Cox Proportional Hazards Models are often the preferred method for survival analysis and may provide more accurate insights into the dynamic relationships between covariates and the hazard of an event.

What are the antonyms for Cox proportional hazards models?

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