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What is another word for Proportional Hazards Model?

Pronunciation: [pɹəpˈɔːʃənə͡l hˈazədz mˈɒdə͡l] (IPA)

A Proportional Hazards Model, commonly referred to as a PH Model, is a statistical tool used in survival analysis and reliability studies. It is employed to investigate the relationship between certain factors or variables and the time to an event of interest occurring. Synonyms for the term "Proportional Hazards Model" include Cox regression, survival regression, and time-to-event analysis. These interchangeable terms represent the same concept and are frequently used in both theoretical and practical applications of survival analysis. The PH Model, regardless of its name, is a powerful tool that aids researchers and analysts in understanding and predicting the occurrence of events in various domains such as healthcare, engineering, finance, and social sciences.
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What are the opposite words for Proportional Hazards Model?

Antonyms for the term "Proportional Hazards Model" would include nonproportional hazards model, non-hazards model, non-linear association model, and non-probabilistic model. These models do not assume that the risk is proportional or consistent over time, making them suitable for analyzing data where the relationship between time and hazard rate is not constant. Non-hazards models, for example, do not assume that the occurrence of the event of interest is related to the passage of time, while non-linear association models recognize that the relationship between the predictor variable and outcome is not linear. Similarly, non-probabilistic models do not rely on probabilistic assumptions in data analysis.

What are the antonyms for Proportional hazards model?

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