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. Author manuscript; available in PMC: 2016 Jun 5.
Published in final edited form as: J Am Stat Assoc. 2016 May 5;111(513):145–156. doi: 10.1080/01621459.2014.995795

Table 1.

The CFFPR example: average covariate effect estimates along with standard errors (SE) and the corresponding p values, and the p values from constancy tests.

Average Covariate Effect Estimates
Frequency Interval Sex F508/Other MI Pancreat
(0.4,1.4] Estimate –0.06 –0.17 –0.04 0.74
SE 0.10 0.12 0.09 0.29
P value 0.55 0.15 0.69 0.01

(1.4, 2.4] Estimate –0.11 –0.10 0.07 0.86
SE 0.06 0.07 0.06 0.21
P value 0.05 0.19 0.21 < 0.001

(0.4, 2.4] Estimate –0.09 –0.13 0.02 0.80
SE 0.08 0.09 0.08 0.24
P value 0.28 0.16 0.81 < 0. 001

Constancy Tests
Constancy tests P value 0.32 0.26 0.06 0.50