|Start:||4 February 2013|
|End:||14 February 2013|
This course is aimed at mortality researchers looking to improve their skills with the R statistical software. The course is structured around using R for the following demographic and public health topics:
Introduction to basic plotting techniques using HMD Data:
Basic comparisons between populations:
Life table construction:
Other longevity measures based on the life table:
Using R for survival analysis:
The course will run over a 9-day period, with two 1.5 hour computer lab sessions scheduled for most days. Students should prepare to work full time (40 hours per week) for the duration of the course.
Students should be familiar with basic life table construction and survival analysis concepts. Ideally students would also have a basic understanding of cause-of-death analysis and decomposition techniques (Chapters 3 and 4 in Preston et al., 2001). Some basic knowledge of R is desirable, but not a prerequisite.
Successful completion of three short assignments, which students can work on individually or in pairs, serves as the examination in this course.
Methods Protocol for the Human Mortality Database
Preston S., Heuveline P. and Guillot M. (2001). Demography: Measuring and Modeling Population Processes. Wiley-Blackwell.
A selection of articles and slides used in the MP 383 course of previous semesters will be made available to students during the course, courtesy of Vladimir Shkolnikov
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