Um modelo de risco proporcional dependente do tempo
Ver/
Fecha
2007-03-30Autor
Parreira, Daniela Ribeiro Martins
Metadatos
Mostrar el registro completo del ítemResumen
Survival data analysis models is used to study experimental data where, normally,
the variable "answer"is the time passed until an event of interest. Many authors do prefer
modeling survival data, in the presence of co-variables, by using a hazard function - which
is related with its interpretation. The Cox model (1972) - most commonly used by the
authors - is applicable when the fail rates are proportional. This model is very flexible and
used in the survival analysis. It can be easily extended to, for example, incorporate the
time-dependent co-variables. In the present work we propose a proportional risk model
which incorporates a time-dependent parameter named "time-dependent proportional risk
model".