IAI Actuarial Core Principles · Risk Modelling and Survival Analysis · Estimation procedures for lifetime distributions
In the Cox proportional hazards model h(t; z) = h0(t) exp(β'z), which feature of the model is left unspecified when β is estimated by partial likelihood?
The baseline hazard h0(t) is left unspecified. In the partial likelihood it cancels from each ratio of hazards across the risk set, so β can be estimated without choosing any parametric form for the baseline. The linear predictor and proportional hazards remain assumptions.
- AThe baseline hazard h0(t)Correct
- BThe covariate vector z
- CThe linear form of β'z
- DThe exponential link applied to β'z
- The proportionality of hazards between individuals
Explanation
The Cox model is semi-parametric. The partial likelihood is built from ratios of exp(β'z) over the risk set, so h0(t) cancels and need not be specified. The other features, such as the linear predictor, the exponential link and proportionality, are still assumed.
Did you get it right without looking?
One question tells you little. A timed set on Estimation procedures for lifetime distributions shows your real accuracy, how long you take and where you lose marks.
More Estimation procedures for lifetime distributions questions
- In the Kaplan-Meier estimator, a life censored at time t, where a death also occurs at the same time t, is normally treated in which way?
- In the Cox proportional hazards model h(t; z) = h0(t) exp(βz), what is the key property that makes the model 'proportional hazards'?
- In a mortality investigation of a group of lives, the central exposed to risk E^c_x is best described as:
- Which statement correctly describes how the Nelson-Aalen estimate of the cumulative hazard, Λ̂(t), is used to obtain a survival function est…
- In an investigation over one year of age, the initial exposed to risk is 400 and 12 deaths are observed. The central exposed to risk is calc…
- Which statement about non-informative censoring in likelihood construction for survival data is correct?