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. Author manuscript; available in PMC: 2018 Feb 21.
Published in final edited form as: J Biopharm Stat. 2015;25(4):757–780. doi: 10.1080/10543406.2014.920871

Table 2.

Compound effect sizes (Ej) and statistical tests of the null hypothesis H0: Ej = 0 versus the alternative H1: Ej > 0 for compounds examined in infection neutralization experiments. Effect sizes and statistical tests were computed by assuming that a response of at least 50% neutralization is pharmacologically important.

Compounda Numberb,c
of
responses
below
detection
limit(k)
Detection
limit (%)
Slope
(âj)
Intercept
(b^j)
Compound
effect size
(Ej)
P-valued Reject Ho?e
KU0104459 0 Not Used 1.304 5.563 11.858 1.0490E-07 Reject
KU0101338 0 Not Used 1.265 5.419 11.592 4.6160E-07 Reject
KU0102728 0 Not Used 0.687 4.116 11.155 4.5050E-06 Reject
KU0104328 0 Not Used 1.780 6.133 10.562 0.0000080 Reject
KU0104458 0 Not Used 1.611 5.747 10.250 0.0000009 Reject
KU0102846 0 Not Used 0.728 3.496 8.235 0.0000001 Reject
KU0104331 0 Not Used 1.964 5.255 7.028 0.0003487 Reject
KU0104170 0 Not Used 1.359 4.272 6.715 0.0000042 Reject
KU0104330 0 Not Used 1.808 4.883 6.596 0.0002132 Reject
KU0101566 0 Not Used 1.839 4.429 5.335 0.0000242 Reject
KU0104480 0 Not Used 0.551 2.359 5.044 0.0037141 Reject
KU0102687 0 Not Used 0.659 2.482 4.677 0.0001547 Reject
KU0103689 0 Not Used 1.490 3.631 4.425 0.0013418 Reject
KU0104329 3 4.42281 2.975 5.128 4.420 0.0337829 Reject
KU0101570 1 4.42281 1.950 4.077 4.261 0.0001934 Reject
KU0102523 0 Not Used 0.638 2.323 4.229 0.0000009 Reject
KU0103466 0 Not Used 0.870 2.701 4.196 0.0000135 Reject
KU0101407 2 4.42281 2.089 4.135 4.092 0.0013082 Reject
KU0104461 0 Not Used 1.394 3.135 3.525 0.0001186 Reject
KU0101449 0 Not Used 1.069 2.712 3.442 0.0015486 Reject
KU0103488 3 4.42281 2.641 4.208 3.352 0.0019370 Reject
KU0101601 2 4.42281 1.916 3.536 3.263 0.0002313 Reject
KU0101667 3 4.42281 2.600 4.095 3.225 0.0010664 Reject
KU0101152 2 4.42281 1.906 3.501 3.216 0.0026582 Reject
KU0103568 0 Not Used 0.865 2.142 2.654 0.0007045 Reject
KU0104351 1 4.42281 1.392 2.696 2.610 0.0294725 Reject
KU0104464 1 4.42281 1.441 2.413 2.020 0.0000274 Reject
KU0101587 0 Not Used 1.999 2.796 1.955 0.0517520 Not reject
KU0101598 1 4.42281 2.029 2.806 1.941 0.0024013 Reject
KU0104354 0 Not Used 1.483 2.379 1.909 0.0902165 Not reject
KU0104252 3 4.42281 2.093 2.696 1.736 0.0269597 Reject
KU0101548 1 4.42281 1.278 1.960 1.503 0.0003203 Reject
KU0101288 4 4.42281 2.953 2.680 1.216 0.0369284 Reject
KU0103963 1 4.42281 1.077 1.389 0.895 0.0049965 Reject
KU0103575 4 4.42281 2.496 1.584 0.502 0.2064629 Not reject
KU0103598 4 4.42281 2.139 1.342 0.421 0.0877485 Not reject
KU0102612 2 4.42281 1.287 1.030 0.412 0.0661612 Not reject
KU0106019 4 4.42281 2.099 1.259 0.378 0.1494977 Not reject
KU0102882 4 4.42281 2.520 0.606 0.073 0.2139543 Not reject
KU0102597 0 Not Used 0.648 0.166 0.021 0.3706192 Not reject
KU0102611 4 4.42281 0.236 −3.321 0 0.9579079 Not reject
KU0044662 4 4.42281 0.474 −2.306 0 0.9005957 Not reject
KU0101694 4 4.42281 0.617 −3.069 0 0.8108476 Not reject
a

Seven doses were tested with each compound, namely 0.2382, 0.4763, 0.9527, 1.9053, 3.6916, 7.5023 and 15.0045 µM.

b

Of the 62 compounds tested, 19 produced at least 5 responses below the detection limit, namely KU0103495, KU0102692, KU0101209, KU0102460, KU0102569, KU0103517, KU0103668, KU0102553, KU0103597, KU0102850, KU0103576, KU0103262, KU0103560, KU0103182, KU0101695, KU0102620, KU0101289, KU0103183, KU0102532. These compounds are not shown in the Table. Since the model has 3 parameters (slope, intercept and error variance), at least 3 doses producing true responses above the detection limit are required for estimating an effect size. Therefore, the model could not be fitted to data from these compounds.

c

When k > 0, the slope and intercept were estimated through constrained least squares by using a detection limit of 4.42%.

d

Uncorrected p-value from t-test testing the null hypothesis that the compound effect size is 0.

e

Decision using a significance level of 0.05 and Simes correction for multiple comparisons (Benjamini and Hochberg, 1995).