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This research investigates how the choice of regression model family affects the assessment of explanatory variables in survival data analysis.

January 1, 1984Biometrika

Effect of misspecification of regression models in the analysis of survival data

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Examination of model choice impact on explanatory variable effects in survival data analysis, indicating critical implications.

This research investigates how the choice of regression model family affects the assessment of explanatory variables in survival data analysis.
Analyzed accelerated life and proportional hazards models for survival data.
Explored the effects of variable censoring on regression parameters under different model families.
Considered higher-order impacts in the context of the two-sample problem.
When censoring is independent of explanatory variables, regression parameters remain proportional across models.
A significant discrepancy arises in parameter behavior when censoring is related to explanatory variables.
Higher-order effects were demonstrated to influence interpretations in specific cases of survival analysis.

P. J. Solomon (1984) studied this question.

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