Careful analysis by an experienced pathologist (MJV) indicated that the BMI1 IHC signal is high in most cells and there is a limited range of BMI1 expression, precluding a reliable categorisation of the samples based on IHC.
Functional analysis of variance Functional analysis of variance (FANOVA) is a method for studying the difference between the functional means of fitted curves in mutually exclusive subgroups of the study sample.Consider a categorisation of the study sample into g = 1, …, G categories, e.g. BMI categories.
It can be used for both reduction of complexity of the matrix-like data and visualisation in a more understandable way and predicts the categorisation of unknown samples.
Data obtained from ten samples allowed categorisation of the MTBC according to their SNP identities, appearance of the TbD1 locus and/or the occurrence of deletion within pks15/1.
It is shown that the examination of classification patterns through confusion matrices allows the exploitation of inter-class relationships and the ability to provide extra information to the researcher about the compositional categorisation of samples; which could not be grouped (with certainty) into classes with the employment of ceramic petrography.
In addition, part of the sample is scored simultaneously by trained students, in order to calculate inter-observer reliability of this categorisation.
In addition, a part of the sample is scored simultaneously by trained students, in order to calculate inter-observer reliability of this categorisation.
Paradoxically, one consequence of large sample sizes is that even small deviations from linearity can be detected, which again leads to categorisation of the originally continuous variables, resulting in loss of power and the need for larger sample sizes.
These immunohistochemical scores were determined using the sample quartiles (Q1=lower quartile, Q2=median, and Q3=upper quartile) as cut-points for categorisation of the continuous variable BTG2 expression.
The panel called for improved categorisation of the nature and seriousness of incidents.
