*change name of path to read in fulldata.dat > infile pubid entry exit event p1 p2 p3 p4 per1234 using E:\GeneralGamma\fulldata.dat (2314 observations read) . stset exit, failure(event) enter(entry) failure event: event != 0 & event < . obs. time interval: (0, exit] enter on or after: time entry exit on or before: failure ------------------------------------------------------------------------------ 2314 total obs. 0 exclusions ------------------------------------------------------------------------------ 2314 obs. remaining, representing 1053 failures in single record/single failure data 4478.968 total analysis time at risk, at risk from t = 0 earliest observed entry t = 0 last observed exit t = 8.953 . streg p1 p2 p3 p4, distribution(gamma) noconstant failure _d: event analysis time _t: exit enter on or after: time entry Fitting full model: Iteration 0: log likelihood = -3146.5895 (not concave) Iteration 1: log likelihood = -2464.221 (not concave) Iteration 2: log likelihood = -2355.2306 Iteration 3: log likelihood = -2277.4682 Iteration 4: log likelihood = -2269.6253 Iteration 5: log likelihood = -2269.3496 Iteration 6: log likelihood = -2269.3491 Iteration 7: log likelihood = -2269.3491 Gamma regression -- accelerated failure-time form No. of subjects = 2314 Number of obs = 2314 No. of failures = 1053 Time at risk = 4478.967999 Wald chi2(4) = 1356.69 Log likelihood = -2269.3491 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- p1 | .642839 .0552769 11.63 0.000 .5344982 .7511797 p2 | .7937214 .0528871 15.01 0.000 .6900646 .8973783 p3 | 1.961447 .096863 20.25 0.000 1.771599 2.151295 p4 | 2.914392 .090706 32.13 0.000 2.736612 3.092173 -------------+---------------------------------------------------------------- /ln_sig | -.217642 .0524492 -4.15 0.000 -.3204405 -.1148435 /kappa | 1.270146 .109724 11.58 0.000 1.055091 1.485201 -------------+---------------------------------------------------------------- sigma | .8044134 .0421908 .7258292 .8915056 ------------------------------------------------------------------------------ *the command will fit a six-parameter conventional general gamma model to the full *data for all four periods producing estimated betas for p1-p4, sigma (1/p), lambda (kappa) *and log likelihood . exit, clear