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Readme file
SERIES C
 Applied Statistics
Bayesian model selection for join point regression with application
to age-adjusted cancer rates, R. C. Tiwari, K.
A. Cronin, W. Davis, E. J. Feuer, B. Yu and S. Chib
Journal of the Royal Statistical Society,
Series C, Applied Statistics, Volume
54 (2005) part 5, 919 - 939
DESCRIPTION: In this paper, join point regression is fitted to colorectal
cancer, prostate cancer, white female breast cancer and black female
breast cancer. The cancer incidence data are created by SEER-Stat
software (http://seer.cancer.gov/seerstat/)
Rate session. The colorectal cancer data, including SEER-Stat dictionary
file and data file, are contained in the data set.
The columns in the data file are:
Var1Name=Year of diagnosis (73-99)
Var2Name=Age-Adjusted Rate
Var3Name=Standard Error
Var4Name=Lower Confidence Interval
Var5Name=Upper Confidence Interval
Var6Name=Count
Var7Name=Population
The permutation-test-based approach is implemented by join point software
(http://www.srab.cancer.gov/joinpoint/) and the Bayesian changepoint
software is currently not available in public. Users may contact the
first author for the software: tiwarir@mail.nih.gov.
NOTE: The SEER-Stat data file uses the orignal scale for the cancer
incidence rate. To use the Bayesian changepoint software, users need
to take the logarithm of the rate and then to use the log-rate as the
response variable.
QUESTIONS: Contact
Ram C.Tiwari
Statistical Research and Applications Branch
National Cancer Institute
Rockville
MD 20878
USA
E-mail: tiwarir@mail.nih.gov
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Applied
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The
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