Fisher Information and Courses from MediaLab, Inc.
These are the MediaLab courses that cover Fisher and links to relevant pages within the course.
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| Ruling Out and Ruling In Rule-out (also referred to as exclusion or cross-out) is a process by which antibodies are identified as being unlikely in a given sample because of the absence of an expected antigen-antibody reaction. In other words, the absence of a reaction is noted with a cell that is positive for the corresponding antigen. Non-reactive cells are selected for rule-out. To be classified as non-reactive, a cell must NOT have reacted in any phase of testing in a given panel or screen. In the case of cold antibodies: if reactions are only occurring at immediate spin and are negative in the AHG phase, then that panel cell can be used as a rule out cell for IgG reactive antibodies but not for antibodies that react at immediate spin (IgM).If there is no reaction with a panel cell then it is possible that antibodies to the antigens on that cell are not present in the sample being tested. Based on Fisher's statistical probability recommendation, the probability of having reliable results increases if you are able to have more rule-out and rule-in cells. By comparing the patterns of reactivity and non-reactivity, we can more safely assume that an observed pattern is not the result of chance alone. If a "3 (reactions) to rule in and 3 (reactions) to rule out" protocol is used, there is then a 95% probability that the reaction pattern is not due to chance alone. Homozygous cells are used so that weaker reacting antibodies which fail to react to the antigen present in the heterozygous state aren't accidentally ruled out. Examples of Homozygous and Heterozygous Antibodies Jka Jkb Patient IS Patient AHG Panel cell 10 + + 0 2+ Panel cell 11 0 + 0 4+ Panel cell 10 shows Jkb in the heterozygous state. The patient's reaction is weaker than the reaction with panel cell 11 which shows Jkb in the homozygous state.Reactions are weaker when antigens are present in the heterozygous state because there is less of the antigen present for the potential antibody to bind with. | View Page |
| The Rh nomenclature which uses the letters DCE is found in which of the following genetic models: | View Page |
| Review 2 Smith KR, Fisher HC III, Hook, EW III: Prevalence of fluorescent monoclonal antibody-nonreactive Neisseria gonorrhoeae in five North American sexually transmitted disease clinics.J Clin Microbiol 34:1551-1552, 1996We compared a direct fluorescent monoclonal antibody (DFA) test with alternative enzymatic and fermention tests for identifying presumptive gonococcal isolates in a systematic sample from patients attending five sexually transmitted disease clinics in five cities.Fourteen (2.5%) of 556 isolates from three clinics were nonreactive with the DFA confirmatory reagent and reactive by both the Quad-Ferm and Rapid NH tests. The prevalence of DFA-nonreactive Neisseria gonorrhoeae isolates varies geographically and is independent of local methods for the identification of possible gonococci.On the basis of our findings, we recommend that for use in medicolegal and other instances in which a diagnosis of gonorrhea has the potential to have far-reaching effects, it is appropriate to test DFA reagent-nonreactive, oxidase-positive, gram-negative diplococci by alternative methods of gonococcal confirmation.Although the prevalence of such isolates could change, the fluorescent monoclonal antibody confirmation reagents remain useful for many clinical situations. Their ease of use and ready applicability for screening large numbers of isolates make them useful for many laboratories. | View Page |
| 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 |
| Literature and online resources Literature Dutton RP, Shih D, Edelman BB, Hess J, Scalea TM. Safety of uncrossmatched type-O red cells for resuscitation from hemorrhagic shock. J Trauma. 2005 Dec;59(6):1445-9. Johnson ST, Rudmann SV,Wilson, SM. Serologic problem solving strategies:a systematic approach. Bethesda, MD: AABB, 1996.Online resourcesThe following are online examples of good practice. The information should not be used as a substitute for technical and clinical judgment. Medical and technical information becomes obsolete quickly and current sources relevant to the user's location should always be consulted. Urgent requirements for blood (Calgary Laboratory Services, Calgary,Alberta, Canada) Online resource for laboratory's clients Why is there never enough O Rh negative blood? (American Red Cross) Advice for physicians on how to help prevent shortages of O Rh negative blood Transfusion reactions: Transfusion complications (Canadian Blood Services) Education website for CBS's hospital customers REACT (Sunnybrook HSC, Toronto, ON, Canada) Pocket reference card for nurses on signs and symptoms of transfusion reactions Quick cals (online calculator of p values for Fisher's exact test) Use a one-tailed test (since we would expect an antibody to react with red cells that are positive for the corresponding antigen) | View Page |