Output - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
dita:mapPath
kiu1466024880662.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1021
lifecycle
previous
Product Category
Software

The coefficients are estimated at 95% CI. Coefficients of variables karno, squamous, and large celltype are found to be significant from the table below.

CoxPH Example Output Table (Columns 1-5)
predictor category coefficient exp_coef std_error
karno   -0.032815 0.967717 0.005508
diagtime   8.1e-05 1.000081 0.009136
age   -0.008706 0.991331 0.0093
trt standard 0 1 0
trt test 0.294603 1.342593 0.20755
celltype adeno 0 1 0
celltype large -0.794775 0.451683 0.302878
celltype smallcell -0.334506 0.715692 0.275978
celltype squamous -1.196066 0.302381 0.300917
prior no 0 1 0
prior yes 0.071594 1.074219 0.232305
Iteration #   5    
Convergence        
Likelihood ratio test   62.1039    
Wald test   62.3673    
Score test   66.7375    
CoxPH Example Output Table (Columns 6-9)
std_error z_score p_value significance
0.005508 -5.95802 0 ***
0.009136 0.008901 0.992898  
0.0093 -0.93615 0.349196  
0      
0.20755 1.419433 0.155773  
0      
0.302878 -2.624078 0.008688 **
0.275978 -1.212075 0.225483  
0.300917 -3.974739 7e-05 ***
0      
0.232305 0.308187 0.75794  
      yes
    0 on 8 degree of freedom
    0 on 8 degree of freedom
    0 on 8 degree of freedom

The coefficients are output in table lungcancer_coef that is later used for prediction. As celltype, trt and prior are categorical variables, one of their categories is considered a reference for the other categories, thus trt = standard, celltype = adeno, and prior = no don’t show default coefficient values in each column.

The query below returns the output shown in the following two tables:

SELECT * FROM lungcancer_coef ORDER BY 1;
CoxPH Example Output Table lungcancer_coef (Columns 1-5)
id predictor category coefficient exp_coef
1 karno   -0.0328153261941663 0.967717255116806
2 diagtime   8.13205087074416e-05 1.00008132381531
3 age   -0.00870647494549903 0.991331316650765
4 trt standard 0 1
5 trt test 0.294602821498042 1.34259300369677
6 celltype adeno 0 1
7 celltype large -0.794774719851903 0.451682978670067
8 celltype smallcell -0.334505911425932 0.71569161405743
9 celltype squamous -1.19606637417932 0.302381330550752
10 prior no 0 1
11 prior yes 0.0715936019179389 1.07421869492581
CoxPH Example Output Table lungcancer_coef (Columns 6-9)
std_error z_score p_value significance
0.00550775688646227 -5.95802009250341 2.55312138097707e-09 ***
0.00913606224777197 0.00890104582280767 0.992898086742234  
0.00930029912031493 -0.936149991829963 0.349195966726043  
0 NaN NaN  
0.207549603603519 1.41943331320844 0.155772725980423  
0 NaN NaN  
0.30287771543449 -2.62407790124726 0.00868839104930008 **
0.275977786191144 -1.21207549362053 0.225483483597614  
0.300916994493076 -3.974738536101 7.04566159376308e-05 ***
0 NaN NaN  
0.232305384067305 0.308187441308705 0.757939708088376  

The linear predictor table lungcancer_lp is shown below.

SELECT * FROM lungcancer_lp ORDER BY 1;
CoxPH Example Output Table lungcancer_lp
linear_predictor event time_interval
-4.41189466565077 1 467
-4.41097447125404 1 110
-4.39448171575977 1 389
-4.29871049135928 1 283
-4.28779288293039 0 182
-4.26989200998715 1 143
-4.25242310919077 1 999
-4.20170368038227 0 25
-4.10210453090365 0 100
-4.04859022189228 1 112
... ... ...