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Apr 13, 2017 at 12:44 history edited CommunityBot
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S Jul 23, 2016 at 20:57 history bounty ended gung - Reinstate Monica
S Jul 23, 2016 at 20:57 history notice removed gung - Reinstate Monica
Jul 21, 2016 at 19:19 answer added David C. Norris timeline score: 11
Jul 16, 2016 at 21:12 vote accept sharper_image
S Jul 16, 2016 at 20:31 history bounty started gung - Reinstate Monica
S Jul 16, 2016 at 20:31 history notice added gung - Reinstate Monica Reward existing answer
Jul 15, 2016 at 11:23 history tweeted twitter.com/StackStats/status/753912933772591104
Jul 15, 2016 at 10:17 comment added amoeba @Scortchi I am surprised though to see any recommendation based on p-values in a Gelman's text; he must have written hundreds of blog posts about how p-values are misleading and unhelpful.
Jul 15, 2016 at 9:48 comment added Scortchi Re Gelman & Hill's 4(b): Harrell, RMS 1st edn, p60: "A final problem with variable selection is illustrated by comparing this approach [sc. stepwise] with the sensible way many economists develop regression models. Economists frequently use the strategy of deleting only those variables that are insignificant & whose regression coefficients have a nonsensible direction". And I seem to recall that Steyerberg was going to write a paper on it. [Will try to find the ref. when I get chance.]
Jul 14, 2016 at 23:10 comment added amoeba See also an excellent and a very popular answer by @gung here stats.stackexchange.com/questions/20836 about the pitfalls of stepwise approaches.
Jul 14, 2016 at 20:25 history edited sharper_image CC BY-SA 3.0
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Jul 14, 2016 at 20:20 history edited sharper_image CC BY-SA 3.0
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Jul 14, 2016 at 18:53 comment added gung - Reinstate Monica Harrell, Flom, & Kolassa; it's settled then.
Jul 14, 2016 at 18:04 comment added Stephan Kolassa Not only Harrell and Flom dislike stepwise regression. I do so, too. Very nice first question, BTW!
Jul 14, 2016 at 17:27 answer added AdamO timeline score: 51
Jul 14, 2016 at 17:06 comment added user78229 +1 for a very thoughtful question. One thing your review demonstrates is that there is no standard recipe or cookbook for variable selection. Everybody has a different approach and set of "best" practices. Then, there is the very important distinction between a theoretical or population model vs an empirically driven one--these different frameworks rarely align and it's easy to conflate them. Your concern about "missing" something is not unfounded but the reality is that a conclusive, unequivocal answer simply does not exist. The approaches you've reviewed are extensively documented, pick one
Jul 14, 2016 at 16:59 history edited sharper_image CC BY-SA 3.0
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Jul 14, 2016 at 16:55 comment added sharper_image That is a good point; given that I learned (or at least recall learning) to do it manually in that fashion, it just seemed reminiscent of doing forward stepwise regression manually or best subset regression based on AIC/BIC. This is perhaps due to my own ignorance though which I would love to be corrected on! Also: appreciate your moving the links in!
Jul 14, 2016 at 16:53 history edited gung - Reinstate Monica CC BY-SA 3.0
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Jul 14, 2016 at 16:49 comment added gung - Reinstate Monica Whether or not something can be automated (at present--prior to the advent of strong AI) strikes me as a red herring.
Jul 14, 2016 at 16:45 history edited gung - Reinstate Monica CC BY-SA 3.0
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Jul 14, 2016 at 16:35 history edited sharper_image CC BY-SA 3.0
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Jul 14, 2016 at 16:31 review First posts
Jul 14, 2016 at 16:44
Jul 14, 2016 at 16:30 comment added sharper_image References 1. stats.stackexchange.com/questions/56725/… 2. stats.stackexchange.com/questions/221907/… 3. stats.stackexchange.com/questions/18214/… 4. lexjansen.com/pnwsug/2008/DavidCassell-StoppingStepwise.pdf 5. andrewgelman.com/2014/06/02/hate-stepwise-regression 6. stats.stackexchange.com/questions/138860/…
Jul 14, 2016 at 16:30 history asked sharper_image CC BY-SA 3.0