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What is another word for Proportional Hazard Model?

Pronunciation: [pɹəpˈɔːʃənə͡l hˈazəd mˈɒdə͡l] (IPA)

The term "Proportional Hazard Model" refers to a statistical model commonly used in survival analysis. It aims to assess the relationship between a covariate and the instantaneous rate of a specific event occurring. Synonyms for this term include Cox proportional hazards model, proportional hazards regression, or simply the Cox model. These synonyms depict the same statistical concept and are widely used interchangeably within the field. The model allows researchers to understand how various factors influence the likelihood of an event, such as death or failure, in a time-to-event analysis. With its versatility, the proportional hazard model remains a crucial tool in various research domains, including healthcare, epidemiology, and social sciences.
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What are the opposite words for Proportional Hazard Model?

The antonyms for the term "Proportional Hazard Model" can be described as models that do not involve proportional hazards. These models describe the relationship between a predictor variable and a response variable, without considering the time it takes for an event to occur. Some examples of antonyms for "Proportional Hazard Model" include "Non-proportional Hazard Model", "Accelerated Failure Time Model", and "Cox Regression Model". These models are useful when the assumptions of proportional hazards do not hold, and they provide insight into how a predictor variable affects the response variable over time. Understanding the antonyms of "Proportional Hazard Model" is important for accurately interpreting and analyzing survival data.

What are the antonyms for Proportional hazard model?

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