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Re: st: Stata resources for newbie


From   Home <ajcmullin@yahoo.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Stata resources for newbie
Date   Tue, 28 May 2013 08:23:22 +0100

Hi, sorry to be a pain but I didn't really understand this from Nick:
"Should have been
> 
> 
> when the richest resource on the language is bundled within Stata."

Otherwise I am very grateful for your help all.

Best Wishes

Annabel Mullin

On 27 May 2013, at 20:57, Nick Cox <njcoxstata@gmail.com> wrote:

> Should have been
> 
> when the richest resource on the language is bundled within Stata.
> Nick
> njcoxstata@gmail.com
> 
> 
> On 27 May 2013 18:49, Nick Cox <njcoxstata@gmail.com> wrote:
>> Richard's right, but I am usually surprised that most recommendations
>> overlook what is to me the most obvious and the most instructive
>> single source.
>> 
>> [U] starts very easy and gets more difficult in a well graded way. But
>> Margaret's question seems to imply someone not a beginner in
>> statistics, just in Stata, and [U] is ideal for such person. Numerous
>> users seem to determined to slow themselves down by Googling
>> everything when the richest resource is bundled on the language within
>> Stata.
>> Nick
>> njcoxstata@gmail.com
>> 
>> 
>> On 27 May 2013 18:32, Richard Williams <richardwilliams.ndu@gmail.com> wrote:
>>> Numerous freebie resources are listed at
>>> 
>>> http://www.stata.com/links/resources-for-learning-stata/
>>> 
>>> I myself use the UCLA pages a lot. My own Stata highlights page is at
>>> 
>>> http://www3.nd.edu/~rwilliam/stats/StataHighlights.html
>>> 
>>> For books, see
>>> 
>>> http://www.stata.com/bookstore/books-on-stata/
>>> 
>>> The book by Hamilton is the classic and it is what I used when I started.
>>> But several good newer books (e.g. Acock) have come along in recent years.
>>> Which you prefer might depend on your field of study.
>>> 
>>> 
>>> 
>>> At 11:02 AM 5/27/2013, Margaret MacDougall wrote:
>>>> 
>>>> Hello
>>>> 
>>>> I would welcome ideas on useful resources (including textbooks) which list
>>>> users have used successfully in helping complete beginners with Stata to
>>>> learn efficiently how to translate formulae and equations from theoretical
>>>> statistics into Stata syntax. The new user will be applying  formulae within
>>>> the context of hypothesis testing but using modern methods unavailable
>>>> through a point-and-click approach.
>>>> 
>>>> Many thanks
>>>> 
>>>> Best wishes
>>>> 
>>>> Margaret
>>>> 
>>>> --
>>>> 
>>>> 
>>>> The University of Edinburgh is a charitable body, registered in
>>>> Scotland, with registration number SC005336.
>>>> 
>>>> *
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>>> 
>>> 
>>> -------------------------------------------
>>> Richard Williams, Notre Dame Dept of Sociology
>>> OFFICE: (574)631-6668, (574)631-6463
>>> HOME:   (574)289-5227
>>> EMAIL:  Richard.A.Williams.5@ND.Edu
>>> WWW:    http://www.nd.edu/~rwilliam
>>> 
>>> 
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