Identify similar cases for qualitative case studies.
This package allows users to identify similar cases for qualitative case studies using statistical matching methods.

Identify Similar Cases for Qualitative Case Studies
Allows users to identify similar cases for qualitative case studies using statistical matching methods.

Fitting Flexible Smooth-in-Time Hazards and Risk Functions via
Logistic and Multinomial Regression
c(
person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
role = c("aut", "cre"), comment = "http://sahirbhatnagar.com/"),
person("Maxime", "Turgeon", email = "maxime.turgeon@mail.mcgill.ca",
role = c("aut"), comment = "http://turgeonmaxime.github.io/"),
person("Olli", "Saarela", email = "olli.saarela@utoronto.ca",
role = c("aut"), comment = "http://individual.utoronto.ca/osaarela/"),
person("James", "Hanley", email = "james.hanley@mcgill.ca",
role = c("aut"), comment = "http://www.medicine.mcgill.ca/epidemiology/hanley/")
)
Implements the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>,
Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>, for fitting flexible hazard
regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression.
From the fitted hazard function, cumulative incidence, risk functions of time, treatment and profile
can be derived. This approach accommodates any log-linear hazard function of prognostic time, treatment,
and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing
incidence density via population time plots.
data.table, ggplot2, methods, survival, VGAM
eha, knitr, rmarkdown, splines, testthat
Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/),
Maxime Turgeon [aut] (http://turgeonmaxime.github.io/),
Olli Saarela [aut] (http://individual.utoronto.ca/osaarela/),
James Hanley [aut] (http://www.medicine.mcgill.ca/epidemiology/hanley/)