names sex pyears n event dose age dosePyr agePyr @ skip 1 @ input dat.txt @ Input from dat.txt 133 records read 132 records used 1 records rejected 10 variables defined At least 500 additional variables can be created. cases event @ pyr pyears @ logl 0 age sex %con @ line 1 dose @ fit @ Iter Step Deviance 0 0 487334.068 1 0 155202.535 2 0 42244.108 3 0 8430.292 4 0 993.987 5 0 150.312 6 0 125.488 7 0 125.450 8 0 125.450 Piece-wise exponential regression Product additive excess model { T0 * ( 1 + T1 + T2 + ...) } event is used for cases pyears is used for person years Parameter Summary Table # Name Estimate Std.Err. Test Stat. P value -- ---------------------------- ---------- --------- ---------- -------- Log-linear term 0 1 %CON..................... -5.123 0.0525 -97.59 < 0.001 2 age...................... 0.01241 0.0005534 22.43 < 0.001 3 sex...................... 0.5404 0.02241 24.12 < 0.001 Linear term 1 4 dose..................... 0.1081 0.0127 8.517 < 0.001 Records used 132 Deviance 125.45 Pearson Chi2 127.073 Degrees of freedom 128