logo

nwne

Anchor text for andrewgelman.com


Displaying items 1 to 100, out of a total of 137
  1.   “2010: what happened?”
  2.   “stop and frisk” statistics
  3.   50 shades of gray: a research story
  4.   [1]
  5.   [2]
  6.   a graph at war with its caption. also, how to visualize the same numbers without giving the display a misleading causal feel?
  7.   a must-read paper on statistical analysis of experimental data
  8.   a trick to speed up r matrix calculation/
  9.   amazing retro gnu graphics!
  10.   analogize
  11.   andew gelman
  12.   andrew
  13.   andrew gelmam
  14.   andrew gelman
  15.   andrew gelman aponta
  16.   andrew gelman commenting on the degree of certainty in nate silver’s work trying to predict the upcoming american election
  17.   andrew gelman of "engineers have more sons".
  18.   andrew gelman's blog
  19.   andrew gelman’s blog
  20.   andrew gelman's blog
  21.   andrewgelman.com
  22.   andrewgelman.com/2013/02/my-bee…
  23.   andrewgelman.com/2013/04/08/the…
  24.   andrew’s blog
  25.   approaches
  26.   bayes related
  27.   bayes-respecting experimental design and other things
  28.   blog
  29.   caffeine keeps your mac awake
  30.   cannabis and iq
  31.   christakis response to my comment on his comments on social science (or just skip to the p.p.p.s. at the end)
  32.   comment
  33.   commented
  34.   complaining
  35.   convincing evidence
  36.   correlation of 1 . . . too good to be true?
  37.   data to use for in-class sampling exercises?
  38.   defensive political science responds defensively to an attack on social science
  39.   dennis the denver dentist and laura the louisiana lawyer
  40.   depending upon which metrics
  41.   different modes of discourse
  42.   econ coauthorship update
  43.   econ debate about prices at a fancy restaurant
  44.   economic policy does not occur in a political vacuum
  45.   everyone’s trading bias for variance at some point, it’s just done at different places in the analyses everyone’s trading bias for variance at some point, it’s just done at different places in the analyses some things i respect when it comes to me
  46.   excel-bashing
  47.   extreem p-values! extreem p-values! joshua vogelstein writes: i know you’ve discussed this on your blog in the past, but i don’t know exactly how you’d answer the following query: suppose you run an analysis and obtain a p-value of 10^-3
  48.   f-f-f-fake data
  49.   for chrissake, just make up an analysis already! we have a lab here to run, y’know?
  50.   forward causal reasoning statements are about estimation; reverse causal questions are about model checking and hypothesis generation
  51.   fri, 28 jun 2013 13:55
  52.   gelman
  53.   generally don’t get a lot of love
  54.   geophysicist discovers modeling error (in economics)
  55.   givewell were nice enough to give him an answer as why this is the case
  56.   going negative
  57.   hack pollster doug schoen illustrates a general point: the #1 way to lie with statistics is . . . to just lie!
  58.   he said he was sorry
  59.   here
  60.   heuristics for identifying ecological fallacies?
  61.   his recent blog post about p-values.
  62.   how do i make my graphs? how do i make my graphs? someone who wishes to remain anonymous writes: i’ve been following your blog a long time and enjoy your posts on visualization/statistical graphics matters. i don’t recall however you ever desc
  63.   http://andrewgelman.com/2007/03/bayesian_sortin/
  64.   i don’t think we get much out of framing politics as the tragic vision vs. the utopian vision
  65.   i don’t think we get much out of framing politics as the tragic vision vs. the utopian vision
  66.   if you’re already using sophisticated non-bayesian methods such as those of tibshirani, efron, and others, that bayes is more of an option than a revolution. but if you’re coming out of a pure hypothesis testing training, then bayes can be a true reve
  67.   in which i side with neyman over fisher”.
  68.   interesting statistical opinion on stop-and-frisk.
  69.   le loup est revenu
  70.   learning how to speak
  71.   life in the c-suite: an graph that is both ugly and bad, and an unrelated story
  72.   meritocracy wont happen: the problems with the ocracy statistical modeling, causal inference, and social science
  73.   misunderstanding the p-value.
  74.   mon, 15 jul 2013 13:25
  75.   more countries
  76.   more on aic, waic, etc
  77.   my talks that were scheduled for tues at the data skeptics meetup and wed at the open statistical programming meetup
  78.   non-topical blogging
  79.   non-topical blogging - andrew gelman
  80.   not truly random
  81.   now that's what i call selection effects!
  82.   old post
  83.   pointed
  84.   polynomial regression and causal inference - andrew gelman
  85.   post of aki
  86.   posted
  87.   posting
  88.   prof. gelman replied in his blog:
  89.   puzzles of criminal justice statistical modeling, causal inference ...
  90.   r sucks
  91.   rcpp class in sat 9 mar in nyc
  92.   recently in the sister blog
  93.   recently in the sister blog recently in the sister blog 1. new italian production of life on mars. 2. psychological essentialism in everyday thought.
  94.   reflections on ethicsblogging reflections on ethicsblogging i have to say, it distorts my internal incentives when i am happy to see really blatant examples of ethical lapses. sort of like when you’re cleaning the attic and searching for roaches: on
  95.   response by jessica tracy and alec beall to my critique of the methods in their paper, “women are more likely to wear red or pink at peak fertility”
  96.   samurai sword-wielding mormon bishop pharmaceutical statistician stops mugger
  97.   sat, 29 jun 2013 13:09
  98.   sat, 29 jun 2013 23:56
  99.   somebody’s looking for a book on time series analysis in the style of angrist and pischke, or gelman and hill
  100.   someone to write a python wrapper for stan
Show remaining 37 items
 
swse