Statistical Issues in Phase III Human Immunodeficiency Virus Vaccine Trial Design
| Autor: | M. E. Halloran |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Statistics and Probability
Estimation Economics and Econometrics business.industry Transmission (medicine) Vaccine trial Hiv vaccine trial Missing data Environmental health Human immunodeficiency virus vaccine Medicine Statistics Probability and Uncertainty business Set (psychology) Social Sciences (miscellaneous) Exposure data |
| Zdroj: | Journal of the Royal Statistical Society Series A: Statistics in Society. 161:265-272 |
| ISSN: | 1467-985X 0964-1998 |
| DOI: | 10.1111/1467-985x.00104 |
| Popis: | Summary Several scientific questions are of interest in phase III trials of prophylactic human immunodeficiency virus (HIV) vaccines. In this paper we focus on some issues related to evaluating the direct protective effects of a vaccine in reducing susceptibility, VES, and its effect on reducing infectiousness, VEI. An estimation of VEI generally requires information on contacts between the infective and susceptible individuals. By augmenting the primary participants of an HIV vaccine trial by their steady sexual partners, information can be collected that allows an estimation of VEI as well as VES. Exposure to infection information, however, may be expensive and difficult to collect. A vaccine trial design can include a small validation set with good exposure to infection data to correct bias in a larger, simpler main study with only coarse exposure data. The large main study increases the efficiency of the small validation set. More research into the combination of different levels of information in vaccine trial design will yield more efficient and less biased estimates of the efficacy measures of interest. |
| Databáze: | OpenAIRE |
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