univariate_cox.r 临床数据单因素cox回归分析

单因素cox回归分析

使用方法:

指定单个变量做cox回归分析,可以是临床数据


$Rscript $scriptdir/univariate_cox.r -h usage: /share/nas1/huangls/test/TCGA_immu/scripts/univariate_cox.r [-h] -i data -t time -e event -v variate [variate ...] [-b blocksize] [-o outdir] [-p prefix] unvariate cox regression optional arguments: -h, --help show this help message and exit -i data, --data data input data file path[required] -t time, --time time set suvival time column name [required] -e event, --event event set event column name must 0 or 1 code format [required] -v variate [variate ...], --variate variate [variate ...] variate for cox analysis [required] -b blocksize, --blocksize blocksize Number of variables Parallel to test in each [default 2] -o outdir, --outdir outdir output file directory [default cwd] -p prefix, --prefix prefix out file name prefix [default cox]


使用举例:


Rscript $scriptdir/univariate_cox.r -i nomogram_metadata.tsv -e EVENT -t TIME \
  -v gender  riskScore age_at_index    ajcc_pathologic_stage \
  -o univariate_cox \
  -p  univariate_cox

参数说明:

-i 输入生存数据与临床数据 


barcodeTIMEEVENTFGRCD38ITGALCX3CL1CEACAM21MATKCD79BMMP25
TCGA-B7-A5TK-01A-12R-A36D-31288016.3440886.8677240.26903603.01321.8685362.283423.45319813.72829
TCGA-BR-7959-01A-11R-2343-131010011.9673915.794517.35856626.913532.5719170.8641161.8799573.451148
TCGA-IN-8462-01A-11R-2343-1357205.3508463.1113423.76912520.222380.6108390.5197762.8221921.106563
TCGA-CG-4443-01A-01R-1157-1391201.538020.8629552.3735119.040971.0921270.7603481.9265920.878735
TCGA-KB-A93J-01A-11R-A39E-311124015.2401613.304738.0859114.152953.4835593.1929513.65174210.43186
TCGA-HU-A4H3-01A-21R-A251-3188206.2617612.6751737.0258864.0502710.5841591.0393361.9792142.312993
TCGA-RD-A8MV-01A-11R-A36D-313720027.0741520.1588534.9130934.718214.1131122.61555716.5194617.72674
TCGA-VQ-A91X-01A-12R-A414-3128911.0623410.7520182.3805134.4158150.5181420.2121971.2392030.582114


结果展示:


Variable Term Beta HR HRlower HRupper P
riskScore riskScore 1.312475 3.715356 2.329977 5.924468 3.53E-08
ajcc_pathologic_stage ajcc_pathologic_stageStage IV 1.419089 4.133353 1.943828 8.789154 0.000227
ajcc_pathologic_stage ajcc_pathologic_stageStage III 0.855199 2.351843 1.203748 4.594953 0.012327
age_at_index age_at_index 0.018124 1.018289 1.000732 1.036154 0.04111
ajcc_pathologic_stage ajcc_pathologic_stageStage II 0.533618 1.70509 0.838157 3.468717 0.140829
gender gendermale 0.217816 1.243358 0.857962 1.801874 0.249868


R包 survival 完成分析

脚本获取与使用课程:https://study.163.com/course/introduction/1211864801.htm?share=1&shareId=1030291076

  • 发表于 2021-08-30 17:16
  • 阅读 ( 3602 )
  • 分类:临床医学

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