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EC968. Survival analysis revision tips

EC968. Survival analysis revision tips. Given one of f(t )/F(t)/S(t )/ θ (t)/H(t), can you derive the other 4? (continuous and discrete time) See Slide pack B; Jenkins, ch 2

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EC968. Survival analysis revision tips

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  1. EC968. Survival analysis revision tips Given one of f(t)/F(t)/S(t)/θ(t)/H(t), can you derive the other 4? (continuous and discrete time) • See Slide pack B; Jenkins, ch 2 Given one of f(t)/F(t)/S(t)/θ(t)/H(t), can you assess its key properties (i.e. is it? PH or AFT? how does it change wrtt?) • See Slide pack B & E; Jenkins, ch 3 Given estimated coefficients and s/es from a PH or AFT model, can you interpret them? (i.e. don’t just whether est/se > 1.96, but also give their interpretation. What does β actually measure? Why should we look at exp(β)?) • See Slide pack E; Jenkins, ch 3 Survival Analysis - 5

  2. EC968. Survival analysis revision tips Given a sampling frame, what is the likelihood contribution for a given individual? (What is/are left and right censoring/truncation? What are the problems of taking a stock sample?) • See Slide Pack D; Jenkins ch 5 & 6 What are the pros and cons of different functional forms for hazard? (e.g. Exponential vs Weibull vs Cox; pure discrete vs cloglog?) • See Slide Pack E & F; Jenkins ch3 How, roughly, does the Kaplin-Meier estimator of the empirical survivor function (and integrated hazard) work? What are its uses? • See Slide Pack C & E; Jenkins ch3 & 4 Be prepared to consider how all of these change when we allow for unobserved heterogeneity, and competing risks, and multiple spells • See Slide Pack F & G; Jenkins ch 8 & 9 Survival Analysis - 5

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