7.2.4.1 Aggregation & Pooling

The Aggegation & Pooling tab lets you choose the level of aggregation for the incidence,

valuation, and QALY results. You can also specify details on the pooling procedure, such as

whether to use a Monte Carlo or Latin Hypercube approach.

Default Advanced Pooling Method

The relative contribution of any one study in the pooling process depends on the weight assigned

to that study. A key component of the pooling process, then, is the determination of the weight

given to each study. BenMAP lets users assign "subjective" weights and it assign weights using a

fixed effects or a random effects approach. There are three options for using weights available in

the Default Advanced Pooling Method drop-down menu:

Round weights to two digits. BenMAP rounds each weight to two digits (e.g. 0.73), and

then multiplies these weights by 100 to get two digit integers. Each entire distribution (set of

Latin Hypercube points) is then put into a holding container an integral number of times,

according to its integral weight. This holding container is then sorted low to high and binned

down to the appropriate number of Latin Hypercube points.

Round weights to three digits. BenMAP rounds each weight to three digits (e.g. 0.732), and

then multiplies these weights by 1000 to get three digit integers. Each entire distribution (set of

Latin Hypercube points) is then put into a holding container an integral number of times,

according to its integral weight. This holding container is then sorted low to high and binned

down to the appropriate number of Latin Hypercube points.

 

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