[Full Picture] Logistic and Proportional Hazards Regression

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Logistic and Proportional Hazards Regression - ScienceDirect

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Article summary:

1. Logistic regression is a statistical method used to model the probability of a binary outcome, while proportional hazards regression is used to model the time until an event occurs.

2. Logistic regression assumes that the relationship between the predictor variables and the outcome variable is linear, while proportional hazards regression does not make this assumption.

3. Both methods are commonly used in biostatistics to analyze data from clinical trials and observational studies.

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