In his spare time he skis and mountain bikes and is a proud Colorado native. Sean Lopp has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. Beginner R Studio Course For Excel Users Spend less time doing repetitive tasks in Excel by including R Studio in your data processing workflowRating: 4.4 out of 57 reviews2. Phil has over 10 years’ experience implementing analytical programs, specializing in interactive web application initiatives and reporting needs for life science companies. He has experience at a number of technology and consulting corporations working in data science teams and delivering innovative data products. He is interested in the use of R with applications in drug development and is a contributor to conferences promoting science through open data and software. His work focuses on innovation in the pharmaceutical industry, with an emphasis on interactive web applications, reproducible research and open-source education. Phil Bowsher is the Director of Healthcare and Life Sciences at RStudio. Our plan was to randomly select ONE z-score per article (N=69) to make it as unbiased as possible, but can we actually make a z-curve with all the z-scores (N=>700) even though they are connected in some way and often shine light on the same association just using different variables.Presented Augto the R Group for Biosurveillance. That means, we have gone through 69 articles but we have collected more than 700 z-scores. But oftentimes each hypothesis uses several variables to examine an association.
Therefore, we are collecting specific PEs and SEs (detecting which to collect based on the hypothesis) in order to calculate the z-score. We cannot in the same way just ‘harvest’ all data, since the reporting is far more messy than papers within the field of psychology.
Thank you so much for your answer! I have another question: We are studying sociology (and we examine publication bias using a z-curve).
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