TABLE 14.32 Proportional-hazards model relating the hazard of recidivism to age, sex, number of cigarettes smoked prior to quitting, and log, CO concentration 10 Regression Standard coefficient error Risk factor (B) se(ß) Age Sex(1 = M/O = F) 0.0023 0.0058 -0.127 0.143 Number of cigarettes smoked -0.0038 0.0050 Log,,CO (adjusted)a 0.912 0.366 10 aThis variable represents CO values adjusted for minutes elapsed since last cigarette smoked prior to quitting.

MATLAB: An Introduction with Applications
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Estimate the effects of each variable in the attached table in terms of a hazard ratio and provide 95% confidence intervals for each of the point estimates 

TABLE 14.32
Proportional-hazards model relating
the hazard of recidivism to age, sex,
number of cigarettes smoked prior to
quitting, and log,„CO concentration
Standard
Regression
coefficient
error
(B)
se(ß)
Risk factor
0.0023
Age
Sex(1 = M/O = F)
0.0058
-0.127
0.143
Number of cigarettes smoked
-0.0038
0.0050
Log,,CO (adjusted)a
0.912
0.366
aThis variable represents CO values adjusted for minutes elapsed since last
cigarette smoked prior to quitting.
Transcribed Image Text:TABLE 14.32 Proportional-hazards model relating the hazard of recidivism to age, sex, number of cigarettes smoked prior to quitting, and log,„CO concentration Standard Regression coefficient error (B) se(ß) Risk factor 0.0023 Age Sex(1 = M/O = F) 0.0058 -0.127 0.143 Number of cigarettes smoked -0.0038 0.0050 Log,,CO (adjusted)a 0.912 0.366 aThis variable represents CO values adjusted for minutes elapsed since last cigarette smoked prior to quitting.
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