Analyses revealed only a marginally significant main effect of time on measures of vocal stability [F 1,17) = 4.43, p = 0.05].
Time of measuring was represented in the model by two dummy variables for the measurements at 6 and 26 weeks.
The core of the tiering is the differentiation of series-related and non-series-related variables, hence the point in time of measuring the variables.
Data were analyzed using repeated measures analysis of variance with time of measure (immediately after suctioning, 10-, 20-, and 30-minute intervals) and treatment type (with saline versus without saline instillation).
Each track was stored as a 200 bit file including location, velocity, time of measure and a measure of the quality of the data.
However, unlike for the variability in duration since preceding surgery, annual frequency variability was very highly significantly correlated with both age variables: age at time of measuring frequency p-value = 0.00023; age at time of diagnosis p-value = 0.00020.
Median age of the patients at the time of measuring anti-p53 antibody was 61 years old (±9.1).
Finally, the interaction effect between the treatment group and the time of measuring was also included in the model.
For each individual, we scored which other individuals it perceived within MAX_DIST and its employed view angle at the time of measuring.
Currently, the time of measuring 100 proteins in 100 samples is about 2 weeks in experienced labs and this time will increase linearly if either a higher number of proteins or higher number of samples need to be analyzed.
