Table 1.
Statistical Analyses
| Figure/statistical test | Number of mice (as appear in graph) | Factorial effects | Interaction effect | |||||
|---|---|---|---|---|---|---|---|---|
| Overall effects for Figure 1 | ||||||||
| Factor “treatment” | ||||||||
| 1 A | One-way ANOVA | n = 7, 7, 7, 6, 7, 7 | F(5,35) = 4.10; | p = 0.005 | ||||
| Factor “treatment” | Factor “CSDS phase” | Factor “treatment” × “CSDS phase” | ||||||
| 1 B | Two-way RM ANOVA | n = 8, 6, 7 | F(2,19) = 1.288; | p = 0.299 | F(2,38) = 84.300; | p < 0.0001 | F(4,38) = 2.737; | p = 0.043 |
| Overall effects for Figure 2 | ||||||||
| Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 2 A | Two-way ANOVA | n = 13, 13, 13, 14 | F(1,48) = 3.333; | p = 0.074 | F(1,48) = 5.134; | p = 0.028 | F(1,48) = 1.742; | p = 0.193 |
| 2 B | Two-way ANOVA | n = 16, 16, 17, 17 | F(1,62) = 2.900; | p = 0.094 | F(1,62) = 4.625; | p = 0.035 | F(1,62) = 5.317; | p = 0.025 |
| Factor “treatment” × “phase” | Factor “pretreatment” × “treatment” | Factor “pretreatment” × “treatment” × “phase” | ||||||
| 2 C | Three-way RM ANOVA | n = 6, 6, 7, 6 | F(2,42) = 2.316; | p = 0.111 | F(1,21) = 6.452; | p = 0.019 | F(2,42) = 3.278; | p = 0.048 |
| Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 2 D | Two-way ANOVA | n = 8, 9, 9, 9 | F(1,31) = 4.109; | p = 0.051 | F(1,31) = 3.230; | p = 0.082 | F(1,31) = 7.313; | p = 0.011 |
| Factor “co-treatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 2 E | Two-way ANOVA | n = 7, 9, 8, 8 | F(1,28) = 10.020; | p = 0.004 | F(1,28) = 7.631; | p = 0.010 | F(1,28) = 7.606; | p = 0.010 |
| Overall effects for Figure 3 | ||||||||
| Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 3 A | Two-way ANOVA | n = 8, 9, 8, 9 | F(1,30) = 6.804; | p = 0.014 | F(1,30) = 43.040; | p < 0.0001 | F(1,30) = 6.202; | p = 0.019 |
| 3 B | Two-way ANOVA | n = 8, 9, 9, 9 | F(1,31) = 5.795; | p = 0.022 | F(1,31) = 5.261; | p = 0.029 | F(1,31) = 9.041; | p = 0.005 |
| 3 C | Two-way ANOVA | n = 8, 8, 9, 8 | F(1,29) = 6.209; | p = 0.019 | F(1,29) = 3.499; | p = 0.072 | F(1,29) = 6.077; | p = 0.020 |
| 3 D | Two-way ANOVA | n = 11, 8, 11, 10 | F(1,36) = 11.060; | p = 0.002 | F(1,36) = 44.570; | p < 0.0001 | F(1,36) = 19.760; | p < 0.0001 |
| 3 E | Two-way ANOVA | n = 8, 10, 7, 10 | F(1,35) = 5.753; | p = 0.022 | F(1,35) = 6.958; | p = 0.012 | F(1,35) = 3.737; | p = 0.061 |
| 3 F | Two-way ANOVA | n = 8, 7, 10, 8 | F(1,29) = 9.865; | p = 0.004 | F(1,29) = 7.547; | p = 0.010 | F(1,29) = 11.540; | p = 0.002 |
| Overall effects for Figure 4 | ||||||||
| Factor “treatment” | ||||||||
| 4 A | One-way ANOVA | n = 8, 8, 8 | F(2,21) = 15.28; | p < 0.0001 | ||||
| Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 4 B | Two-way ANOVA | n = 8, 7, 7, 8 | F(1,26) = 16.410; | p < 0.001 | F(1,26) = 7.356; | p = 0.012 | F(1,26) = 5.937; | p = 0.022 |
| 4 D | Two-way ANOVA | n = 10, 10, 10, 10 | F(1,36) = 4.468; | p = 0.042 | F(1,36) = 1.963; | p = 0.170 | F(1,36) = 3.944; | p = 0.054 |
| 4 E | Two-way ANOVA | n = 10, 10, 10, 10 | F(1,36) = 1.253; | p = 0.270 | F(1,36) = 4.389; | p = 0.043 | F(1,36) = 2.729; | p = 0.107 |
| 4 H | Two-way ANOVA | n = 8, 5, 5, 6 | F(1,20) = 11.630; | p = 0.003 | F(1,20) = 4.616; | p = 0.044 | F(1,20) = 6.246; | p = 0.021 |
| Overall effects for Figure 5 | ||||||||
| Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||
| 5 A | Two-way ANOVA | n = 6, 7, 7, 7, 7, 7 | F(2,35) = 1.320; | p = 0.280 | F(1,35) = 7.287; | p = 0.011 | F(2,35) = 4.796; | p = 0.014 |
| Factor “treatment” | ||||||||
| 5 B | One-way ANOVA | n = 6, 6, 6, 7, 7 | F(4,27) = 2.469; | p = 0.069 | ||||
| 5 C | One-way ANOVA | n = 8, 8, 8, 8, 8 | F(4,35) = 2.469; | p = 0.088 | ||||
| 5 D | One-way ANOVA | n = 9, 8, 8, 8, 7, 8 | F(5,42) = 2.110; | p = 0.083 | ||||