Estimating correlations between vaccine clinical trial outcomes

Autor:	Sergey Zhuk, Olga Rozanova, Alexey Rey
Rok vydání:	2021
Předmět:	Statistics and Probability business.industry Maximum likelihood fungi food and beverages Articles Latent variable Clinical trial Statistics Medicine Statistics Probability and Uncertainty business Linear factor Factor analysis
Zdroj:	J Appl Stat
ISSN:	1360-0532 0266-4763
Popis:	We demonstrate how a linear factor model with latent variables can be used to estimate correlations between the outcomes of clinical trials. These correlations are needed for many policy questions of drug/vaccine development (such as calculating the optimal size of financial incentives) and the literature so far has relied on expert opinions. We apply our methodology to the case of vaccines and show that the estimated correlations are highly significant. We also illustrate how the estimated correlations can be used to find the probability of obtaining a successful vaccine out of a certain number of candidates and to determine optimal investment in vaccine development.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c153b907768fb0227bc6b07af5d08d https://doi.org/10.1080/02664763.2021.1949439 Zobrazit plný text záznamu