7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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The input table, lungcancer, contains data from a randomized trial of two treatment regimens for lung cancer used to model survival analysis. There are three categorical predictors and three numerical predictors, described in the following table.

CoxPH Example Predictors
Predictor Description Possible Values
trt Treatment plan (categorical)
  • standard
  • test
celltype Cancerous cell type (categorical)
  • squamous
  • smallcell
  • adeno
  • large
prior Whether the patient has undergone prior therapy (categorical)
  • yes
  • no
karno Karnofsky score assigned by patient (numerical) [0, 100], where 100 is perfect health and 0 is death
diagtime Months from diagnosis to randomization (numerical) Nonnegative number
age Patient age, in years (numerical) Nonnegative number
In addition to a column for each predictor, the input table has these columns:
Column Name Description Possible Values
id Patient identifier Positive integer
status Censoring status or survival event
  • 0 (survival/right censorship)
  • 1
time_int Survival time in months Nonnegative number
CoxPH Example Input Table lungcancer
id trt celltype time_int status karno diagtime age prior
1 standard squamous 72 1 60 7 69 no
2 standard squamous 411 1 70 5 64 yes
3 standard squamous 228 1 60 3 38 no
4 standard squamous 126 1 60 9 63 yes
5 standard squamous 118 1 70 11 65 yes
6 standard squamous 10 1 20 5 49 no
7 standard squamous 82 1 40 10 69 yes
8 standard squamous 110 1 80 29 68 no
9 standard squamous 314 1 50 18 43 no
10 standard squamous 100 0 70 6 70 no
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