Abstract
A method is described for estimating the probability that transfusion of a given quantity of blood from an AIDS‐infected donor will result in infection in the recipient. The method is based on maximum likelihood, and requires the assumption that individual viruses act independently in causing infection. Results of simulations indicate that the resulting estimates have low bias. The method is applicable to a wide variety of other problems.
Original language | English (US) |
---|---|
Pages (from-to) | 781-789 |
Number of pages | 9 |
Journal | Biometrical Journal |
Volume | 32 |
Issue number | 7 |
DOIs | |
State | Published - 1990 |
Keywords
- AIDS
- HIV infection
- Maximum likelihood