Statistical formulae to assess significance of bias through Log(τ/KA)
No. | Parameter | Formula | Description |
---|---|---|---|
1 | Error for mean Log(τ/KA) values | ![]() | For a collection of n Log(τ/KA) values for an agonist, squares of the deviations yield an estimate of variability of the estimate for that agonist |
2 | Pooled variance for Log(τ/KA) values | ![]() | The error values from each estimate for all compounds for both pathways are used to produce a general estimate of the variation of the assays; this estimate is applied to all estimates in the analysis (including if there are singlet n = 1 values) |
3 | Degrees of freedom for pooled variance | ![]() | For k pathways and j groups of agonists with i values in each group, the degrees of freedom of the pooled variance is obtained; this allows calculation of significance and confidence limits |
4 | 95% CL of mean Log(τ/KA) values | ![]() | This allows calculation of 95% confidence limits on the individual mean values of Log(τ/KA) |
5 | S.E. for calculation of 95% CLs shown in eq. 4 for mean values of Log(τ/KA) | ![]() | For log(τ/KA) values, eq. 4 is used to calculate 95% CL with this formula for S.E. |
6 | S.E. for 95% CL on estimates of Δlog(τ/KA) within each pathway | ![]() | For Δlog(τ/KA) values within each pathway, eq. 4 is used to calculate 95% CL with this formula for S.E. |
7 | S.E. for calculation of 95% CL on estimates of ΔΔlog(τ/KA) between pathways | ![]() | For ΔΔlog(τ/KA) values between pathway, eq. 4 is used to calculate 95% CL with this formula for S.E. |
CL, confidence limit.