Biostatistics practical exercise Using the t test to determine how long to condu

Biostatistics practical exercise Using the t test to determine how long to condu

Bailey, Tori, Host/Executive Producer has reference to this Academic Journal, PHwiki organized this Journal Biostatistics practical exercise Using the t test to determine how long to conduct clinical trials of novel drug Dr. Ashley Carter Department of Biological Sciences Cali as long as nia State University, Long Beach Bio 260, FDA t test calculations example As an example of the practical use of statistics you will take the role of drug company project managers. Scenario: A new drug, ABT007, has been designed by R&D that they think will help treat Lurgi, a deadly fictional disease that causes skin lesions, intestinal distress in addition to permanent nerve damage. About Lurgi: The primary cause of the deleterious effects is an increase in the number of b-killer cells in infected individuals. The disease is transmitted via close bodily contact. About ABT007: The drug is administered orally. The drug acts like a long-term vaccine, it is predicted to reduce the increase in the number of b-killer cells during infection, thereby reducing, but not eliminating, the deleterious effects. Bio 260, FDA t test calculations example Bio 260, FDA t test calculations example About marketing ABT007: The of b-killer cells in an infected person = 30 per ml The of b-killer cells in an un-infected person = 15 per ml If the drug can be shown to lower the of b-killer cells in an infected person it can be sold. I.E., if the p value of a One-tailed, one-sample t test comparing the value in ABT007 infected individuals to the normal level as long as infected indicates significance. The marketing research department predicts that the net income from manufacturing the drug will be \$2,000,000 per year if the drug is significant at the p<0.05 level. The marketing research department predicts that the net income from manufacturing the drug will be \$4,000,000 per year if the drug is significant at the p<0.01 level. Drug patents last as long as 20 years, after that time the drug will no longer be profitable.

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