As we discuss why statistics are useful in decision-making, what statistics do you think are important to consider as to why the survival rate was higher for spouse to spouse transfer?
Researchdepicts that the survival rate with regard to spouse to spousetransplants is higher as compared to those between unrelatedindividuals. During organ acquisition, medical characteristics of thedonor and matched against those of the patient. For this reason, itis therefore easier to find matching characteristics amongstrelatives as opposed to anonymous individuals. Amongst the conditionsnecessary for a match it is observed that distance between therecipient and donor, length of time on the waiting list and bloodtype are important. Consequently, it is easier for spouses to achievea match of the aforementioned conditions as opposed to unrelatedindividuals.
Can you find any research that supports this claim or may help understand why this is the case?
Yes.Through the UNET systems in transplant hospitals there’s a clearunderstanding as to why the claim on the higher survival rate ofspouse to spouse transplants is true. The system provides informationon the factors that are considered with regard to successful organallocation. It is through those factors, that there’s a clearunderstanding on the inferences pertaining spouse to spouse transfer.
What other variables do you think should be considered?
Otherthan the relation between the donor, and receiver of the organ thereare other variables that should be considered. Before allocation ofan organ, there should be consideration of medical urgency, tissuecompatibility, and status of one’s immunity, among others.
How could you use the test of hypothesis for a difference in two proportions (percentages, rates) to establish a null and alternative hypothesis?
Forthe test of hypothesis with regard to the acquisition of the organ,there’s use of the match run from the UNET system (UNOS TransplantLiving, 2015). On the match run, the individual that has a highermatch is placed at the top hence they receive the organ fortransplantation. For different reasons, there are chances of nullhypothesis.
Define each population and then state what you would test.
Thetest is important as it is used to measure the compatible nature ofthe donor and the potential recipient of the organ. There are chanceswhere there is a defect in the match hence organ is rejected by thetransplant hospital. In such a scenario, contact between thetransplant hospital and the hospital of the next patient in line isinitiated. Additionally, it is possible that the transplant may berejected by the other hospital as well. It is however important tonote that the match does not stop until they achieve compatibility.When a compatible population is detected, there’s preparation ofthe surgery, and finally, transplantation.
Which level of significance would you choose? Why?
Iwould choose to accept existence of the null hypothesis and carryout a laboratory test. Regardless of the fact that null hypothesesmay be minor, it is safer to have a complete match rather thanspeculation with regard to compatibility of the population.
UNOSTransplant Living. ( 2015). TransplantLiving.Retrieved from http://www.transplantliving.org/.