I am running a -firthlogit (suggested here in Forum by Clyde) - to calculate if the Intervention influence the prevalence of the medication use (Randomized study, 185 persons in intervention group, 183 persons in the control group; intervention variable is r_treat), PersonWithn_Tricycl3==1 if person gets the tricyclic andtidepressants at 90 day followup, PersonWithn_Tricycl1==1 if person gets the tricyclic andtidepressants at baseline, same for many other medications.
I got question to adjust for the baseline medication.
As an example for the tricyclic --baseline tricyclic antidepressants a perfect predictor of the tricyclic outcome.
I was asked to report Risk Ratios istedet for Odds Ratios, but cannot get it working with -firthlogit-.
All the suggestions how to get displayed RR with
are highly appreciated.
Example of dataset below
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Thanks alot for your advices.
Kindly, Natallia
I got question to adjust for the baseline medication.
As an example for the tricyclic --baseline tricyclic antidepressants a perfect predictor of the tricyclic outcome.
Code:
firthlogit PersonWithn_Tricycl3 ib1.r_treat ib2.PersonWithn_Tricycl1 firthlogit, or
All the suggestions how to get displayed RR with
Code:
firthlogit
Example of dataset below
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Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int id byte r_treat float(PersonWithn_Tricycl1 PersonWithn_Tricycl3) 9 1 0 0 11 2 0 0 12 1 0 0 17 1 0 0 20 2 0 0 39 2 0 0 53 2 0 0 54 2 0 0 55 1 0 0 56 2 0 0 57 1 0 0 59 1 0 0 65 2 0 0 68 2 0 0 69 2 0 0 74 1 0 0 79 1 0 0 82 1 0 0 93 2 0 0 97 1 0 0 101 1 0 0 104 2 0 0 105 2 0 0 117 2 0 0 121 2 0 0 122 1 0 0 136 1 0 0 146 1 0 0 147 2 0 0 153 1 0 0 154 2 0 0 165 1 0 0 166 1 0 0 167 1 0 0 170 1 0 0 172 1 0 0 173 1 0 0 177 2 0 0 178 2 0 1 192 2 0 0 193 2 0 0 197 1 0 0 199 1 0 0 203 2 0 0 209 2 0 0 213 1 0 0 221 2 0 1 224 1 0 0 229 2 0 0 231 1 0 0 233 1 0 0 234 1 1 1 239 1 0 0 243 1 0 0 245 2 0 0 247 1 0 0 249 2 0 0 270 2 0 0 282 1 0 0 287 1 0 0 288 2 0 0 293 1 0 0 306 2 0 0 310 2 1 1 317 1 0 0 332 2 0 0 335 1 0 0 340 2 0 0 341 2 0 0 352 2 0 0 353 1 0 0 354 1 0 0 358 2 0 0 364 2 0 0 366 2 0 0 367 2 0 0 373 1 0 0 375 1 0 0 377 1 0 0 380 2 1 1 381 2 0 0 390 1 0 0 397 2 0 0 400 2 0 0 401 1 0 0 402 2 1 1 408 2 0 0 411 1 0 0 412 1 0 0 416 2 0 0 418 2 0 0 421 1 0 0 428 2 0 0 429 1 0 0 433 2 0 0 435 1 0 0 440 1 0 0 442 2 0 0 446 1 0 0 449 1 0 0 end
Kindly, Natallia