Matching-Adjusted Indirect Comparison Analysis Using Common SAS® 9.2 PROCEDURES

Matching-Adjusted Indirect Comparison Analysis Using Common SAS® 9.2 PROCEDURES

2011 SAS Global Forum 2011, April 4-7, 2011, Las Vegas, CA, USA

Malangone, E. | Sherman, S. | Volume: , Issue: , Pages: , a,

This paper presents a novel matching-adjusted approach to indirectly compare survival estimates for competitive
treatment options.
Using patient-level data for the treatment arm and summary patient characteristics and survival outcomes for the
comparator, matching variables prognostic for survival are chosen. A program involving an extension of a common
SAS® 9.2 procedure, PROC SURVEYSELECT, is applied to select 1000 random repeated sub-samples from the
original population with the same distribution of matched variables. Using Output Delivery System (ODS) and survival
analysis procedures, the survival estimates are computed for each bootstrapped sample and a 95% confidence
interval (CI) is inferred around the mean of the sampled survival estimates. These outcome measures may then be
compared to those reported for the comparator treatment.
In the absence of head-to-head randomized controlled trial (RCT) data, comparative effectiveness of treatment
outcomes can be evaluated using a matching-adjusted indirect comparison, which accounts for observed differences
between populations and results in an effect of treatment exposure on survival outcomes less likely due to
confounders.