Imputing genotypes using regularized generalized linear regression models.

As genomic sequencing technologies continue to advance, researchers are furthering their understanding of the relationships between genetic variants and expressed traits. However, missing data can significantly limit the power of a genetic study. Here, the use of a regularized generalized linear model, denoted by GLMNET, is proposed to impute missing genotypes.

The use of research abstracts in formulary decision making by the Joint Oncology Drug Review of Canada.

Background And Objective: Opinions on the use of research abstracts in policy decision making are conflicting. We sought to evaluate the influence of research abstracts in guiding decisions of the Joint Oncology Drug Review of Canada (JODR), which conducts clinical and economic reviews of new cancer treatment drugs for formulary listing.

Methods: The minutes of the monthly meetings of the JODR between 2005 and 2007 were reviewed.