Uncertainty Information and Courses from MediaLab, Inc.
These are the MediaLab courses that cover Uncertainty and links to relevant pages within the course.
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| Using probability (p) values The p value is a statistical tool that increases the confidence that an antibody has been identified with a scientifically acceptable level of uncertainty (0.05). As applied to antibody identification, it is computed using Fisher's exact test. Tidbit: This is the same Fisher who helped developed the Fisher-Race theory of Rh inheritance.The p value is calculated using the number of cells that are positive and negative with the patient's plasma. Calculating p values is beyond the scope of this case study but basic understanding of p values at the conceptual level is covered. | View Page |
| Using p values in antibody identification When p values are calculated for antibody identifications, we think of the null hypothesis as meaning, "the relative proportions of one variable (panel cell being antigen-positive) are independent of the second variable (patient's plasma reacting with the cell). In other words, the results could be due to another cause (different antibody, combination of antibodies, or spurious reactions), not the antibody that we have identified as being probable.Therefore, a p value of 0.05 can be interpreted as meaning that the same results produced by another antibody or cause would be expected to occur by chance alone only one in 20 times (5% of the time), given the number of cells tested. By scientific tradition, this is an acceptable level of uncertainty.A p value of 0.05 does not mean that we have identified the correct antibody. | View Page |