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Table 5 Analysis of variance (ANOVA) with a blocking factor. Hypothetical data are used to demonstrate an ANOVA with three groups and four individuals serving as the replicates. The groups in this case are paired within individuals and so the individual serves as a statistical blocking factor. * =  expression ratio significantly different from 1

From: A common base method for analysis of qPCR data and the application of simple blocking in qPCR experiments

Biological replicate

Sample type A \( {\Delta C}_{q;r,A}^{(w)} \)

Sample type B \( {\Delta C}_{q;r,B}^{(w)} \)

Sample type C \( {\Delta C}_{q;r,C}^{(w)} \)

 

Bonferroni-adjusted P-value

r = 1

0.855

1.408

0.866

  

r = 2

0.845

1.056

0.799

  

r = 3

0.499

1.291

0.532

  

r = 4

0.699

1.172

0.707

  

Source

df

MS

F

P

 

Sample type

2

0.342

20.222

0.002

 

Block

3

0.038

2.237

0.184

 

Error

6

0.017

   

Post-hoc testing

Mean difference \( {\Delta \Delta C}_q^{(w)} \)

95% C.I. for \( {\Delta \Delta C}_q^{(w)} \)

Expression ratio \( {10}^{-\Delta \Delta {C}_q^{(w)}} \)

95% C.I. for \( {10}^{-\Delta \Delta {C}_q^{(w)}} \)

 

Sample type A vs. B

−0.507

(−0.282, −0.732)

3.21

(1.91, 5.40)

0.004*

Sample type A vs. C

−0.002

(0.224, −0.227)

1.00

(0.60, 1.69)

1.000

Sample type B vs. C

0.506

(0.731, 0.281)

0.31

(0.19, 0.52)

0.005*