This example uses exactly the same incidence results as the previous example, but with the

Author column (variable) immediately after the Endpoint Group column.

Step 3. Select pooling methods

Once the tree structure is set up in the Pooling Window, you are ready to select your pooling

methods. Essentially each pooling method involves a different method of combining input

incidence results to generate new incidence results. Results can be pooled any time a branch

occurs in the tree structure - that is, any time two or more results share common values for their

leftmost variables. BenMAP helps you to identify these spots by inserting a value of None in the

Pooling Method column at each spot where pooling is possible.

Table 7-1 summarizes the different types of pooling approaches, and Appendix K provides a

detailed discussion of the approaches. Note that some pooling methods are only available in

Latin Hypercube mode. This is because these pooling methods attempt to combine distributions

of results into new distributions, and no distributional information is available in Point Mode. The

Pooling Method column will thus have different values in its drop down list depending on the

mode used to generate the incidence results being pooled.


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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