SEER and Atomic Bomb Survivor Data Analysis Tools
Converts canc made by mkSEER into a data.frame with py at risk after f...
Cancer risk vs years Since Diagnosis of other cancer
Event vs years Since Diagnosis
Fills age-year person year (PY) matrix
Gets the lower and upper limit and index of a tsd bin
Converts a seerSet$L series to a data.frame
Get expected numbers of cases
Get fields from SEER SAS file
Get tsd interval PY
Computes A-bomb incidences
Computes SEER incidences
Map ICD9 and ICD-O3 codes to cancers
Map CODs to strings
Map registry codes to acronyms
Map treatment codes to factor
Make 2D-spline fits of incidences
Make Abomb Binaries
Make Demographics Tables
Converts seerSet$L series to a data.frame
Make RR Excel file from csd output
Make RR Excel file from tsd function output
Make Life Tables
Make mortality binaries
Make mortality binaries from local HMD data files
Make R binaries of SEER data.
Make SEER binaries as before
Mortality vs years Since Diagnosis
Primary to Secondary
Pick SEER fields of interest
Plot 2D cancer incidence splines
Get person-years at risk and observed cases after first cancers
Get person-years at risk and observed cases after first cancers
Get person-years at risk and observed deaths after cancer
Prints seerSet.summary objects
Second cancer risk vs attained age after first cancer
SEER and A-Bomb Data Analysis Tools
Join SEER cancers and PY
Summarize SEER data.
Simulate SEER cancers and population person years
Simulate Survival Times
Summary of seerSet object
Compute RR vs tsd
Creates SEER (Surveillance, Epidemiology and End Results) and A-bomb data binaries from ASCII sources and provides tools for estimating SEER second cancer risks. Methods are described in <doi:10.1038/leu.2015.258>.