In Point Mode, BenMAP simply runs the QALY functions once using the point estimate of the

incidence result and the mean of the valuation function as inputs.

With Latin Hypercube Points, on the other hand, BenMAP uses a 5,000 draw Monte Carlo

approach to estimate QALYs. That is, BenMAP draws once from the QALY database and

once from the incidence Latin Hypercube, and multiplies the two draws together, repeating this

process 5,000 times and putting the results into a holding container. Finally, the holding container

is sorted low to high and binned back down to 100 Latin Hypercube points (representing the

0.5th percentile to the 99.5th percentile of the estimated QALY distribution).

Step 2. Sort results

Depending on how your incidence results were pooled, the columns in the QALY pooling

windows can be resorted in the same way as the incidence and valuation pooling window

columns. This resorting will have the same sort of impact on the tree structure of valuation results

that it had on the tree structure of incidence results. (See Step 2 in the section on Pooling

Incidence Results.)


n351 - n352 - n353 - n354 - n355 - n356 - n357 - n358 - n359 - n360 - n361 - n362 - n363 - n364 - n365 - n366 - n367 - n368 - n369 - n370 - n371 - n372 - n373 - n374 - n375 - n376 - n377 - n378 - n379 - n380 - n381 - n382 - n383 - n384 - n385 - n386 - n387 - n388 - n389 - n390 - n391 - n392 - n393 - n394 - n395 - n396 - n397 - n398 - n399 - n400



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