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. 2020 Jul 28;7(4):ENEURO.0162-20.2020. doi: 10.1523/ENEURO.0162-20.2020

Table 3.

Reordered comparisons reveal correct p values for Tukey’s post-hoc tests

Test Ottenhoff et al. (incorrect order) Muscas et al. (corrected order)
Estimate z value p value Estimate z value p value
WT, Veh vs lova 0.1542 0.168 1.0000 0.1542 0.168 1.0000
WT, simvalow vs Veh –0.4700 –0.366 0.9997 –0.2288 –0.196 1.0000
WT, simvahigh vs Veh –0.3830 –0.297 0.9999 –0.3159 –0.271 0.9999
WT, simvalow vs lova –0.3159 –0.271 0.9999 –0.3830 –0.297 0.9999
WT, simvahigh vs lova –0.2288 –0.196 1.0000 –0.4700 –0.366 0.9997
WT, simvalow vs simvahigh –0.0870 –0.059 1.0000 –0.0870 –0.059 1.0000
KO, Veh vs lova –2.1016 –2.872 0.0406 –2.1016 –2.872 0.0406
KO, simvalow vs Veh 1.4816 1.666 0.5570 0.2963 0.397 0.9995
KO, simvahigh vs Veh 2.3979 2.573 0.0932 –0.6200 –0.897 0.9607
KO, simvalow vs lova –0.6200 –0.897 0.9607 2.3979 2.573 0.0932
KO, simvahigh vs lova 0.2963 0.397 0.9995 1.4816 1.666 0.5570
KO, simvalow vs simvahigh –0.9163 –1.017 0.9288 –0.9163 –1.017 0.9288

The regression model R script used by Ottenhoff et al. (2020) assigns different functions to set up the regression model matrix (“unique”) versus the Tukey’s contrast matrix (“tables”). This results in different order of groups for the two matrices, which results in assignment of different headings to the test results. An altered version of the script with the factors level set in the same order for the model matrix and contrast matrix shows the correct Tukey’s test results (see Extended Data Figure 1-3). Estimate and z value are multiplied by –1 to reflect the corresponding tests headings. Reversed values are italicized and the corrected p values reported by Ottenhoff are in bold.