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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Event History Analysis with R (Hardcover, 2nd edition)
Loot Price: R2,844
Discovery Miles 28 440
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Event History Analysis with R (Hardcover, 2nd edition)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 12 - 19 working days
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With an emphasis on social science applications, Event History
Analysis with R, Second Edition, presents an introduction to
survival and event history analysis using real-life examples. Since
publication of the first edition, focus in the field has gradually
shifted towards the analysis of large and complex datasets. This
has led to new ways of tabulating and analysing tabulated data with
the same precision and power as that of an analysis of the full
data set. Tabulation also makes it possible to share sensitive data
with others without violating integrity. The new edition extends on
the content of the first by both improving on already given methods
and introducing new methods. There are two new chapters,
Explanatory Variables and Regression, and Register- Based Survival
Data Models. The book has been restructured to improve the flow,
and there are significant updates to the computing in the
supporting R package. Features * Introduction to survival and event
history analysis and how to solve problems with incomplete data
using Cox regression. * Parametric proportional hazards models,
including the Weibull, Exponential, Extreme Value, and Gompertz
distributions. * Parametric accelerated failure time models with
the Lognormal, Loglogistic, Gompertz, Exponential, Extreme Value,
and Weibull distributions. * Proportional hazards models for
occurrence/exposure data, useful with tabular and register based
data, often with a huge amount of observed events. * Special
treatments of external communal covariates, selections from the
Lexis diagram, and creating period as well as cohort statistics. *
"Weird bootstrap" sampling suitable for Cox regression with small
to medium-sized data sets. * Supported by an R package
(https://CRAN.R-project.org/package=eha), including code and data
for most examples in the book. * A dedicated home page for the book
at http://ehar.se/r/ehar2 This substantial update to this popular
book remains an excellent resource for researchers and
practitioners of applied event history analysis and survival
analysis. It can be used as a text for a course for graduate
students or for self-study.
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