Event history analysis, spring 2010

News

http://www.rni.helsinki.fi/~kja/event2010/timescales_Discussion.ppt Friday (April 16)

N.B. Lectures on Monday (April 12), Tuesday (April 13), Thursday (April 15) and Friday (April 16) will br from 8 to 10 a.m. The computer class on each of these day will follow from 10 a.m until noon. The schedule on Wednesday (April 14) is as before (lectures 9-11, computer class 11 - 1 p.m.).

Coursework 1
Coursework 2
Coursework 3

Lecturers

Sangita Kulathinal
Kari Auranen

Scope

8 cu.

Type

Advanced studies.

Prerequisites

Basic probability calculus; Familiarity with statistical inference; Programming skills, in particular basic knowledge of R.

Lectures

The lectures run from March 29 to April 10, with the Easter break in between. The lectures (9 a.m. - 11 a.m.) and computer classes (11 a.m. - 1 p.m.) will be given on each of the 10 lecturing days, except on Fridays on which there are only lectures.

Monday (March 29): lecture (BK106) + computer class (C128)
Tuesday (March 30): lecture (B322) + computer class (C128)
Wednesday (March 31): lecture (C124) + computer class (C128)

Easter holiday (no lectures): April 1-7

Thursday (April 8): lecture (BK106) + computer class (C128)
Friday (April 9): lecture (C123); no computer class

Monday (April 12): lecture (BK106) + computer class (C128)
Tuesday (April 13): lecture (B322) + computer class (C128)
Wednesday (April 14): lecture (C124) + computer class (C128)
Thursday (April 15): lecture (BK106) + computer class (C128)
Friday (April 16): lectures (C123); no computer class

Lecture summaries

1. Introduction to event history analysis Monday (March 29)

2. Non-parametric estimation of survival; Parametric models Tuesday (March 30)

3. Survival regression models Wednesday (March 31)

4. Exploratory data analysis and model checking (Thursday, April 7)

5. Event history likelihood (Friday, April 9 and Monday, April 12)

6. Counting process formulation (Tuesday, April 13)

7. Bayes models (Wednesday, April 14)

8. Health-illness model. Stationarity Thursday (April 15)

Bibliography

Preliminary course contents

1. Monday (March 29) Introduction to survival and event history analysis. Practical I (Intro to R and basics to survival analysis in R).
2. Tuesday (March 30) Estimation of survival functions and the construction of likelihood functions. Parametric survival distributions. Practical II.
3. Wednesday (March 31) Parametric, semiparametric and nonparametric inference in survival models. Practical III.
4. Thursday (April 8) Model checking, stratified analysis. Practical IV.
5. Friday (April 9) Introduction to course works. Practical V.
6. Monday (April 12) Discussion article I (Choice of time scale,open and closed cohorts etc.).
Discussion article II (Competing risks).
7. Tuesday (April 13) Discussion article III (Event history analysis). More on event history models. Practical VI.
8. Wednesday (April 14) Counting process formulations. Practical VII.
9. Monday (April 15) Special topics (late entry, truncation, cross-sectional sampling etc.). Practical VIII.
10. Tuesday (April 16) Bayesian analysis of survival models. Practical IX.

Registration

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Child pages

Event-history analysis, spring 2010