Simply Statistics
A data analysis can fail if it doesn't present a coherent story and "close all the doors". Such a failure is not simply a problem with communication, but often indicates a problem with the details of the analysis itself.
Simply Statistics: The analyst is a random variable
Jan 3, 2023 · I read this really interesting paper over the break, where they had multiple analyst teams analyze the same data set and fit a model to answer the same question.. This is a topic we’ve thought about a lot in the past; mostly from a therotical perspective. We have discussed the researcher degrees of freedom, recipe tradeoff and how p-values are just the tip of the iceberg for analyst variability.
Simply Statistics: The vast majority of statistical analysis is not ...
Jun 13, 2013 · Whether you know it or not, everything you do produces data - from the websites you read to the rate at which your heart beats. Until pretty recently, most of the data you produced wasn’t collected, it floated off unmeasured.
Toward tidy analysis - Simply Statistics
May 24, 2017 · Tidy data at its heart is a set of three rules for organizing a data set:. Each variable forms a column. Each observation forms a row. Each type of observational unit forms a table. This is an incredibly useful abstraction for thinking about organizing data sets for analysis.
About this blog - Simply Statistics
We are three biostatistics professors (Jeff Leek, Roger Peng, and Rafa Irizarry) who are fired up about the new era where data are abundant and statisticians are scientists.The views represented here are our own and do not represent the views of Johns Hopkins University, Harvard University or Dana Farber Cancer Institute.
Correlation is not a measure of reproducibility - Simply Statistics
Aug 11, 2015 · Biologists make wide use of correlation as a measure of reproducibility. Specifically, they quantify reproducibility with the correlation between measurements obtained from replicated experiments.
How do you know if someone is great at data analysis? - Simply Statistics
May 6, 2012 · Consider this exercise. Come up with a list of the top 5 people that you think are really good at data analysis. There’s one catch: They have to be people that you’ve never met nor have had any sort of personal interaction with (e.g. email, chat, etc.).
Trustworthy Data Analysis - Simply Statistics
Jun 3, 2018 · The success of a data analysis depends critically on the audience. But why? A lot has to do with whether the audience trusts the analysis as well as the person presenting the analysis. Almost al presentations are incomplete because for any analysis of reasonable size, some details must be omitted for the sake of clarity.
Is Code the Best Way to Represent a Data Analysis? - Simply …
Jul 28, 2022 · Code is a useful representation of a data analysis for the purposes of transparency and opennness. But code alone is often insufficient for evaluating the quality of a data analysis and for determining why certain outputs differ from what was expected. Is there a better way to represent a data analysis that helps to resolve some of these questions?
Simply Statistics: The 5 Most Critical Statistical Concepts
Oct 28, 2011 · It seems like everywhere we look, data is being generated - from politics, to biology, to publishing, to social networks. There are also diverse new computational tools, like GPGPU and cloud computing, that expand the statistical toolbox.