Event History Analysis CS&SS 544 Web Resources

Event History Analysis CS&SS 544 Optional Readings

Probability theory | Distributions | Censoring and Truncation | Likelihood EHA overview

Here is a collection of (mostly) external resources for CS&SS 544, Event History Analysis for the Social Sciences course. Note that some of the links may disappear!

Probability theory

My handout on elementary probability concepts (pdf)
365 Data Science Online Course: Introduction to Probability (1:03:31 video)
Bright Side of Mathematics: Probability theory video series
Statistics Learning Centre: Understanding Probability - Probability 1 (2:53 video)
Statistics Learning Centre: Estimating Probability Values - Probability 2 (5:53 video)
Statistics Learning Centre: Probabilities using NOT and OR - Probability 3 (5:43 video)
Statistics Learning Centre: Mutually Exclusive Events - Probability 4 (4:39 video)
Statistics Learning Centre: Combining Independent Events using AND - Probability 5 (5:09 video)
Statistics Learning Centre: Conditional Probability - Probability 6 (4:49 video)
365 Data Science Online Course: Introduction to Probability (1:03:31 video)

Distributions and Random Variables

My handout on distributions
Statistics Learning Centre: Understanding Random Variables - Probability Distributions 1 (5:07 video)
Statistics Learning Centre: Discrete Random Variables: Distributions 2 (7:38 video)
Statistics Learning Centre: Probability Distribution Models - Distributions 3 (6:47 video)
jbstatistics: Introduction to Discrete Random Variables and Discrete Probability Distributions (11:45 video)
jbstatistics: Overview of Some Discrete Probability Distributions (Binomial,Geometric,Hypergeometric,Poisson,NegB) (6:20 video)
jbstatistics: Discrete Probability Distributions: Example Problems (Binomial, Poisson, Hypergeometric, Geometric) (14:50 video)
jbstatistics: An Introduction to Continuous Probability Distributions (5:51 video)
jbstatistics: Finding Probabilities and Percentiles for a Continuous Probability Distribution (11:58 video)
jbstatistics: An Introduction to the Continuous Uniform Distribution (6:56 video)
Eric Cai: The Definition of the Hazard Function in Survival Analysis (6:28 video)
Eric Cai: h(t) = f(t) ÷ S(t) (9:01 video)

Censoring and Truncation

My Introduction to censoring and truncation handout (pdf)
My "messy data" handout (pdf)

My likelihood handout (pdf)
Ben Lambert: Maximum Likelihood estimation - an introduction part 1 (8:24 video)
Ben Lambert: Maximum Likelihood estimation - an introduction part 2 (7:07 video)
Ben Lambert: Maximum Likelihood estimation - an introduction part 3 (3:59 video)
Bradley Warner: Maximum Likelihood Estimators Part 1 (8:14 video)
Bradley Warner: Maximum Likelihood Estimators Part 2 (10:23 video)
Bradley Warner: Maximum Likelihood Estimators Summary (4:22 video)

Overview of Event History Analytical Methods

My handout on "model decisions" (pdf)
Greg Samsa: Survival analysis: types of survival models (1:55 video)