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. 2017 Jul 10;41(7):577–586. doi: 10.1002/gepi.22061

Table 2.

Results from performing causal inference on simulated data sets

Simulation model
Method Tested model a b c d E f g h i j k l
SEM a −6 689 688 689 689 686 685 282 1,381 1,380 282 283
b 504 −6 402 503 − 6 399 1,088 148 148 553 148 841
c 504 400 −6 − 6 505 1,091 398 148 552 148 840 148
f 1,090 685 1,091 1,600 1,090 −6 684 688 282 687 − 6 686
g 1,089 1,091 684 1,092 1,601 686 −6 687 686 282 687 − 6
BUF a 156.01 120.93 120.7 155.97 156.18 120.84 121.06 98.79 98.84 98.95 98.80 98.78
b 120.78 120.95 83.68 120.94 156.19 83.58 −0.08 83.61 83.78 37.89 83.76 −0.08
c 120.95 83.64 120.73 155.98 121.13 −0.09 83.84 83.69 37.81 83.90 −0.08 83.71
m 35.06 37.28 −0.03 −0.01 35.05 120.93 37.22 15.1 61.03 15.05 98.88 15.06
n 35.23 −0.02 37.03 35.03 −0.01 37.25 121.14 15.18 15.07 61.06 15.04 98.86
DEAL a −1,019 −1,359 −1,360 −1,378 −1,379 −1,343 −1,343 −1,697 −2,245 −2,244 −1,689 −1,689
b −1,254 −1,003 −1,200 −1,264 − 1,019 −1,263 −1,530 −1,196 −1,618 −1,821 −1,620 −1,954
c −1,254 −1,199 −1,004 − 1,019 −1,263 −1,530 −1,196 −1,618 −1,821 −1,625 1,954 −1,619
d − 1,016 −1,011 −1,012 −1,025 −1,025 −1,010 −1,010 − 1,551 − 1,560 − 1,560 −1,553 −1,554
e − 1,016 −1,011 −1,012 −1,025 −1,025 −1,010 −1,010 − 1,551 − 1,560 − 1,560 −1,553 −1,554
f −1,541 −1,339 −1,537 −1,794 −1,550 −1,004 −1,339 −1,880 −1,693 −1,889 − 1,548 −1,884
g −1,541 −1,536 −1,341 −1,549 −1,793 1,338 −1,005 −1,880 −1,888 −1,693 −1,883 − 1,548
m −1,544 −1,688 −1,886 −2,148 −1,904 −1,338 −1,673 −2,027 −2,377 −2,573 −1,684 −2,019
n −1,544 −1,884 −1,690 −1,902 −2,147 −1,671 −1,338 −2,027 −2,573 −2,377 −2,019 −1,683
BNLEARN a −976 −1,322 −1,323 −1,323 −1,321 −1,322 −1,320 −1,671 −2,214 −2,215 −1,667 −1,668
b −1,230 −973 −1,178 −1,229 − 974 −1,176 −1,516 −1,601 −1,596 −1,799 −1,598 1,945
c −1,231 −1,176 −975 − 974 −1,228 −1,522 −1,173 −1,602 −1,799 −1,597 −1,944 −1,599
d −985 −984 −985 −984 −984 −984 −982 − 1,536 − 1,530 − 1,531 −1,531 −1,533
e −9,85 −984 −985 −984 −984 −984 −982 − 1,536 − 1,530 − 1,531 −1,531 −1,533
f − −1,530 −1,325 −1,531 −1,784 −1,528 −979 −1,320 −1,876 −1,669 −1,871 − 1,527 −1,874
g −1,532 −1,528 −1,328 −1,529 −1,782 −1,325 −977 −1,878 −1,872 −1,669 −1,873 − 1,528
m −1,521 −1,663 −1,869 −2,123 −1,864 −1,317 −1,658 −2,012 −2,353 −2,555 −1,663 −2,009
n −1,523 −1,866 −1,665 −1,867 −2,119 −1,663 −1,315 −2,013 −2,556 −2,353 −2,009 −1,663

Cells represent the average (over 1,000 replicates) of the scores describing how well each model fits the data. Columns represent data simulated under the 12 different scenarios and rows describe which model is being tested. Each of the four methods uses a different score to assess model fit. For SEM, low numeric scores indicate better fit. For the other three methods, higher numeric scores indicate better fit. Average score(s) that indicate the preferred model out of those tested are underlined. Cells with bold indicate the correct model choice.