Statistics Done Wrong The woefully complete guide /by/ Alex Reinhart If youre a practicing scientist, you probably use statistics to analyzeyour data. From basic /t/ tests and standard error calculations to Coxproportional hazards models and propensity score matching, we rely onstatistics to give answers to scientific problems.This is unfortunate, because most of us dont know how to do statistics./Statistics Done Wrong/ is a guide to the most popular statisticalerrors and slip-ups committed by scientists every day, in the lab and inpeer-reviewed journals. Many of the errors are prevalent in vast swathsof the published literature, casting doubt on the findings of thousandsof papers. /Statistics Done Wrong/ assumes no prior knowledge ofstatistics, so you can read it before your first statistics course orafter thirty years of scientific practice.If you find any errors or typos, or want to suggest other popularmisconceptions, /contact me/ . If you findthis website useful, consider buying the book! Contents * Introduction o Changes o Contact o Acknowledgements o Copyright note * An introduction to data analysis o The power of /p/ values * Statistical power and underpowered statistics o The power of being underpowered o The wrong turn on red * Pseudoreplication: choose your data wisely * The /p/ value and the base rate fallacy o The base rate fallacy in medical testing o Taking up arms against the base rate fallacy o If at first you dont succeed, try, try again o Red herrings in brain imaging o Controlling the false discovery rate * When differences in significance arent significant differences o When significant differences are missed * Stopping rules and regression to the mean o Truth inflation o Little extremes * Researcher freedom: good vibrations? * Everybody makes mistakes * Hiding the data o Just leave out the details o Science in a filing cabinet * What have we wrought? * What can be done? o Statistical education o Scientific publishing o Your job * Conclusion * Bibliography /Index/ Logo There's a book!The revised and expanded Statistics Done Wrong, with three times as manystatistical errors and examples, is available in print and eBook! An essential book for anyscientist, data scientist, or statistician.Buy it! (or use Amazon,IndieBound , BookDepository,or BN.) Table Of Contents * Introduction * An introduction to data analysis * Statistical power and underpowered statistics * Pseudoreplication: choose your data wisely * The /p/ value and the base rate fallacy * When differences in significance arent significant differences * Stopping rules and regression to the mean * Researcher freedom: good vibrations? * Everybody makes mistakes * Hiding the data * What have we wrought? * What can be done? * Conclusion * Bibliography Quick searchNavigation * Next chapter: Introduction Creative Commons LicenseStatistics Done Wrong by Alex Reinhart islicensed under a Creative Commons Attribution 3.0 Unported License.Created using Sphinx 1.2.2.