I am hoping for help with the syntax following propensity score matching. I am working on data comparing survival between two treatment types (ablation vs surgery) in patients with liver metastatic colorectal cancer.
To adjust for selection bias in treatment allocation to ablation therapy, I would like to use propensity score matching.
This is what I have done so far
psmatch2 op_cat old sex ASA_värde i.met_cat size_cat T_cat N_cat prim_cat i.ingreppsar_cat CT_cat i.charlson, neighbor(5) caliper(0.01)
Is this correct? Probably many factors (age, comorbidity, size and number of metastases, factors of the primary tumour etc.) will contribute to deciding on ablation vs. surgery.
What’s next? I would like to clearly display in a classic table 1 format first the patient and tumour characteristics in the unmatched and matched cohorts. What is the syntax to describe the matched cohort? And what will the syntax be for performing survival analysis using Kaplan-Meier curves in the matched cohort?
Hope to get some help from this community
To adjust for selection bias in treatment allocation to ablation therapy, I would like to use propensity score matching.
This is what I have done so far
psmatch2 op_cat old sex ASA_värde i.met_cat size_cat T_cat N_cat prim_cat i.ingreppsar_cat CT_cat i.charlson, neighbor(5) caliper(0.01)
Is this correct? Probably many factors (age, comorbidity, size and number of metastases, factors of the primary tumour etc.) will contribute to deciding on ablation vs. surgery.
What’s next? I would like to clearly display in a classic table 1 format first the patient and tumour characteristics in the unmatched and matched cohorts. What is the syntax to describe the matched cohort? And what will the syntax be for performing survival analysis using Kaplan-Meier curves in the matched cohort?
Hope to get some help from this community
