statisticsdonewrong.com
Welcome — Statistics Done Wrong
http://www.statisticsdonewrong.com/index.html
The woefully complete guide. If you’re a practicing scientist, you probably use statistics to analyze your data. From basic. Tests and standard error calculations to Cox proportional hazards models and propensity score matching, we rely on statistics to give answers to scientific problems. This is unfortunate, because statistical errors are rife. Assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice. The base rate fal...
statisticsdonewrong.com
Bibliography — Statistics Done Wrong
http://www.statisticsdonewrong.com/zbibliography.html
Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology. The Annals of Applied Statistics. The (mis)reporting of statistical results in psychology journals. Stopping Randomized Trials Early for Benefit and Estimation of Treatment Effects: Systematic Review and Meta-regression Analysis. Statistical Power of Negative Randomized Controlled Trials Presented at American Society for Clinical Oncology Annual Meetings. Journal of Clinical Oncology.
civilstat.com
useR 2012 | Civil Statistician
http://civilstat.com/user-2012
Stats, datavis, edu, brains, etc. Stats Edu and Jobs. Slides, R code, and dataset from my presentation (abstract). At the useR 2012 conference. In Nashville, TN:. Presentation slides, including links to other work in this area. AddAKDC.HI.exitbox.r. Add Alaska, Hawaii, DC, and (optionally) an “exit” button to the. Package’s state map of continental US. Static choropleth map of poverty by US state. Of the same map. See also my post on the Tuesday tutorials. And my braindump on the rest of the conference.
civilstat.com
Stats Edu and Jobs | Civil Statistician
http://civilstat.com/stats-edu-and-jobs
Stats, datavis, edu, brains, etc. Stats Edu and Jobs. Stats Edu and Jobs. Many readers find this blog by searching the web for info on stats education and career advice. I’ll collect my relevant posts here. Statistics education and careers, in general:. One difference between Statistics vs. Applied Math. More names for statistics, and do they matter? Is a Master’s degree in Statistics worthwhile? More on graduate study for careers in Statistics. Statistics at Carnegie Mellon University:. Seminar on Activ...
andrewgelman.com
Artist needed! - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2015/01/13/artist-needed
Statistical Modeling, Causal Inference, and Social Science. Laquo; What’s misleading about the phrase, “Statistical significance is not the same as practical significance”. Some art so far. On 13 January 2015, 9:08 am. We have some great ideas but none of us can draw. We need your help with designs and art for any or all of these projects:. 1 “Gone Fishing” T-shirt. 8211; Teach the Controversy (as in here. 8211; Or we could play it straight and give it the title, We Can Do Better Than This. Could work in...
statisticsdonewrong.com
Everybody makes mistakes — Statistics Done Wrong
http://www.statisticsdonewrong.com/mistakes.html
Until now, I have presumed that scientists are capable of making statistical computations with perfect accuracy, and only err in their choice of appropriate numbers to compute. Scientists may misuse the results of statistical tests or fail to make relevant computations, but they can at least calculate a. Surveys of statistically significant results reported in medical and psychological trials suggest that many. Nobody gets scientific glory by checking code for typos. Another solution might be. That’...
statisticsdonewrong.com
Index — Statistics Done Wrong
http://www.statisticsdonewrong.com/genindex.html
Right turn on red. Right turn on red. The revised and expanded. With three times as many statistical errors and examples, is available in print and eBook! An essential book for any scientist, data scientist, or statistician. An introduction to data analysis. Statistical power and underpowered statistics. Pseudoreplication: choose your data wisely. Value and the base rate fallacy. When differences in significance aren’t significant differences. Stopping rules and regression to the mean. What can be done?
statisticsdonewrong.com
Researcher freedom: good vibrations? — Statistics Done Wrong
http://www.statisticsdonewrong.com/freedom.html
Researcher freedom: good vibrations? There’s a common misconception that statistics is boring and monotonous. Collect lots of data, plug the numbers into Excel or SPSS or R, and beat the software with a stick until it produces some colorful charts and graphs. Done! All the statistician must do is read off the results. But one must choose. Commands to use. Two researchers attempting to answer the same question may perform different statistical analyses entirely. There are many decisions to make:. Perhaps ...
statisticsdonewrong.com
Pseudoreplication: choose your data wisely — Statistics Done Wrong
http://www.statisticsdonewrong.com/pseudoreplication.html
Pseudoreplication: choose your data wisely. Many studies strive to collect more data through replication: by repeating their measurements with additional patients or samples, they can be more certain of their numbers and discover subtle relationships that aren’t obvious at first glance. We’ve seen the value of additional data for improving statistical power and detecting small differences. But what exactly counts as a replication? This problem is known as pseudoreplication, and it is quite common. In sta...
statisticsdonewrong.com
Hiding the data — Statistics Done Wrong
http://www.statisticsdonewrong.com/hiding.html
8220;Given enough eyeballs, all bugs are shallow.”. Mdash;Eric S. Raymond. We’ve talked about the. Made by scientists, and how the best way to spot them is a bit of outside scrutiny. Peer review provides some of this scrutiny, but a peer reviewer doesn’t have the time to extensively re-analyze data and read code for typos – reviewers can only check that the methodology makes good sense. Sometimes they spot obvious errors, but subtle problems are usually missed. Of the 249 studies they sought data for, th...
