SAP HANA Predictive Analysis Library (PAL)

INSERT INTO PAL_TRIAL_DATA_TBL VALUES(12, 1, 2, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(12, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(15, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(16, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(18, 0, 2, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(20, 1, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(22, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(24, 1, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(28, 0, 3, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(30, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(30, 1, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(33, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(42, 1, 1, 'control');
DROP TABLE PAL_TRIAL_ESTIMATES_TBL;
CREATE COLUMN TABLE PAL_TRIAL_ESTIMATES_TBL LIKE PAL_TRIAL_ESTIMATES_T;
DROP TABLE PAL_TRIAL_LOGRANK_STAT1_TBL;
CREATE COLUMN TABLE PAL_TRIAL_LOGRANK_STAT1_TBL LIKE PAL_TRIAL_LOGRANK_STAT1_T;
DROP TABLE PAL_TRIAL_LOGRANK_STAT2_TBL;
CREATE COLUMN TABLE PAL_TRIAL_LOGRANK_STAT2_TBL LIKE PAL_TRIAL_LOGRANK_STAT2_T;
CALL "DM_PAL".PAL_KMSURV_PROC(PAL_TRIAL_DATA_TBL, #PAL_CONTROL_TBL,
PAL_TRIAL_ESTIMATES_TBL, PAL_TRIAL_LOGRANK_STAT1_TBL,
PAL_TRIAL_LOGRANK_STAT2_TBL) with OVERVIEW;
SELECT * FROM PAL_TRIAL_ESTIMATES_TBL;
SELECT * FROM PAL_TRIAL_LOGRANK_STAT1_TBL;
SELECT * FROM PAL_TRIAL_LOGRANK_STAT2_TBL;
Option 2: Weibull Distribution
Technology Background
Weibull distribution is often used for reliability and survival analysis. It is defined by 3 parameters: shape, scale,
and location. Scale works as key to magnify or shrink the curve. Shape is the crucial factor to define how the
curve looks like, as described below:
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●
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Shape = 1: The failure rate is constant over time, indicating random failure.
Shape < 1: The failure rate decreases over time.
Shape > 1: The failure rate increases over time.
For the same raw data as in the above Kaplan-Meier option, also shown below:
Table 430:
Treatment
Survival Time (months)
Linoleic acid (n = 25) 1+, 5+, 6, 6, 9+, 10, 10, 10+, 12, 12, 12, 12, 12+, 13+, 15+, 16+,
20+, 24, 24+, 27+, 32, 34+, 36+, 36+, 44+
Control (n = 24) 3+, 6, 6, 6, 6, 8, 8, 12, 12, 12+, 15+, 16+, 18+, 18+, 20, 22+,
24, 28+, 28+, 28+, 30, 30+, 33+, 42
The DISTRFITCENSORED function is used to fit the Weibull distribution on the censored data. For the two
types of treatment, linoleic acid and control, two separate calls of DISTRFITCENSORED are performed to get
two Weibull distributions.
Implementation Steps
Assume that:
SAP HANA Predictive Analysis Library (PAL)
End-to-End Scenarios P U B L I C 569