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. Author manuscript; available in PMC: 2013 Sep 28.
Published in final edited form as: Epidemiol Methods. 2012 Aug;1(1):33–54. doi: 10.1515/2161-962X.1005

Table 7.

Analysis of the effect of conditional dependence on estimates of diagnostic test performance in La Joya. We maximized the likelihood of the model for nine different sets of covariances (column 1). Columns 2–5 give the maximum-likelihood estimates and bootstrap 95% confidence intervals of the diagnostic test sensitivities and specificities (expressed as percents) when these covariances are assumed.

S1 C1 S2 C2
(covs12,covc12) (95% CI) (95% CI) (95% CI) (95% CI)
(0, 0) 78 (62,100) 100 (99,100) 73 (65,81) 99 (96,100)
(0, 0.05) 74 (56,100) 94 (94,95) 65 (55,81) 93 (91,95)
(0, 0.1) 55 (44,100) 89 (88,89) 54 (42,79) 89 (85,89)
(0.05, 0) 71 (55,93) 100 (99,100) 66 (58,75) 99 (96,100)
(0.05, 0.05) 67 (48,93) 94 (94,95) 58 (49,75) 93 (91,95)
(0.05, 0.1) 49 (36,91) 88 (88,89) 46 (35,76) 88 (85,89)
(0.1, 0) 63 (46,86) 100 (99,100) 57 (48,71) 99 (95,100)
(0.1, 0.05) 60 (43,84) 94 (94,95) 50 (41,70) 93 (90,95)
(0.1, 0.1) 47 (36,83) 88 (87,89) 38 (29,68) 88 (85,89)
(0.15, 0.15) 79 (33,80) 79 (78,82) 72 (29,79) 79 (78,82)
(0.2, 0.2) 31 (30,32) 54 (51,72) 29 (28,30) 44 (42,72)