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乳腺癌与前列腺肿瘤相关数据(Data for breast cancer and prostate cancer)_算法理论_科研数据集

乳腺癌与前列腺肿瘤相关数据(Data for breast cancer
and prostate cancer)
数据摘要:
In this paper, join point regression is fitted to colorectal cancer, prostate cancer, white female breast cancer and black female breast cance
中文关键词:
女性,癌症,算法,统计,前列腺,乳腺癌,
英文关键词:
female,cancer,algorithm,statistic,prostate,breast cancer,
数据格式:
TEXT
数据用途:
design of the algorithm
数据详细介绍:
Data for breast cancer and prostate cancer
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
(/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 (/joinpoint/) and the Bayesian changepoint software is currently not available in public. Users may contact the first author for the software: tiwarir@.
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.
数据预览:
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