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Kaiser Fung is a professional statistician with expertise in marketing and advertising analytics. See full bio.
THE READ
Next Events
Apr: 4 New York Public Library Labs and Leaders in Software and Art Data Viz Panel, NYCPast Events
Mar: 22 INFORMS NY Student-Practitioner Forum on Analytics, NYCOct: 19 Predictive Analytics World, NYC
Jul: 30 JSM, Miami
Apr: 10-11 INFORMS Business Analytics Conf, Chicago
Mar: 14-15 Predictive Analytics World, SF
Jan: 18 NYC Dataviz Meetup
Nov: 17 Princeton Library
Oct:
13 INFORMS NYC Luncheon
12 NYU Coles Science Center
6 NYU Coles Science Center
Sep: 13-16 JMP Discovery Summit, Cary, NC
Aug: 1-5 JSM, Vancouver
May: 27 Book Expo, NYC
Keep in Touch
follow me on TwitterRecent Posts
- Netflix adultery statistic debunked
- I don't like 401(k) either
- So much medical research is pretend-science
- Challenges with sports analytics
- Screening screening
- The most cited and most butchered statistical law
- Statistics as inverse probability
- FDA endorses masking placebos as proven drugs as a get-rich-quick scheme
- Occupational hazards in data science
- The mirage of large numbers
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Community
- Andrew Gelman (Columbia)
Statistical Modeling, Causal Inference and Social Science - Bad Science (UK)
Ben Goldacre, debunking bad medicine - Chance News
Statistics in the news - Christian Robert (Paris Dauphine)
Xi'an's Og: statistics (theory) - David Spiegelhalter (Cambridge)
Understanding Uncertainty - Franz Dill
The Eponymous Pickle - John D. Cook (U Texas)
Statistics, applied math, computing - Michael Trick (Carnegie Mellon)
Operations research - Nate Silver 538
Polls and politics - John Johnson
Biostats, clinical trials - Significance Magazine
From RSS and ASA - Social Science Statistics (Harvard)
- STATS @ GMU
Numbers Behind the News - Carl Bialik (WSJ)
The Numbers Guy - John Sall (SAS/JMP)
Analytic lessons and random observations - Matthew Hurst
Data Mining: Text Mining, Visualization and Social Media - Stats Chat
University of Auckland
Categories
- Aggregation
- Bias
- Books
- Business
- Business tip
- Causation creep
- Cause-effect
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Crime
- Current Affairs
- Data
- Dilemma of being together
- Education
- Environment
- Errors
- False confession
- False negative
- False positive
- Film
- Food and Drink
- Games
- Health
- Junk Charts
- Know your data
- Mass media
- Medicine
- Models
- Music
- Neat reads
- Politics
- Press
- Rules
- Science
- Significance
- Sports
- StatImproWords
- Statisticians
- Story time
- Suggested reading
- Television
- Tests
- Travel
- Variability
- Web/Tech
- Weblogs
Copyright
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License
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