한빛사논문
Hyun-Hwan Jeong1,2, Zhandong Liu2,3,4,*
1 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
2 Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA
3 Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
4 Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX, USA
*Corresponding author : Zhandong Liu
Abstract
Neuron recently published a study that studied human post-mortem brain samples to determine whether there is an association between herpes virus abundance and Alzheimer’s disease (AD) (Readhead et al., 2018). We assigned the paper to students in our computational biology course because it employed a variety of statistical analyses, which we thought would provide good practice. As we and the students looked more closely at the paper, however, we noticed that the most significant associations seemed to be between viral abundance and “AD possible” rather than “AD definite” samples (Readhead et al., 2018). Moreover, highly significant p values were ascribed to data where differences were not visually appreciable (Figure S1A), and the p values were inconsistent with simple logistic regression. Prompted by these observations, we re-analyzed the data, which we were able to do because the authors provided their raw data and source code with the paper. We identified two issues that we believe led to over-interpretation of the data, as we describe below.
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