Antiplatelet therapy use and the risk of venous thromboembolic events in the Raloxifene Use for the Heart (RUTH) trial.

Background: Raloxifene use in postmenopausal women with osteoporosis increases the risk of venous thromboembolic events (VTE) 2-fold compared with placebo. Platelet activation is involved in the pathophysiology of arterial thromboses more than venous thromboses, but aspirin may reduce VTE risk associated with estrogen use. This analysis examines the effects of concomitant antiplatelet therapy on VTE risk in raloxifene-treated women.

Modification of Kolmogorov-Smirnov test for DNA content data analysis through distribution alignment.

The Kolmogorov-Smirnov (K-S) test is a statistical method often used for comparing two distributions. In high-throughput screening (HTS) studies, such distributions usually arise from the phenotype of independent cell populations. However, the K-S test has been criticized for being overly sensitive in applications, and it often detects a statistically significant difference that is not biologically meaningful.

At what scale should microarray data be analyzed?

Introduction: The hybridization intensities derived from microarray experiments, for example Affymetrix's MAS5 signals, are very often transformed in one way or another before statistical models are fitted. The motivation for performing transformation is usually to satisfy the model assumptions such as normality and homogeneity in variance. Generally speaking, two types of strategies are often applied to microarray data depending on the analysis need: correlation analysis where all the gene intensities on the array are considered simultaneously, and gene-by-gene ANOVA where each gene is analyzed individually.