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Re: st: Stata resources for newbie


From   Nick Cox <njcoxstata@gmail.com>
To   Margaret.MacDougall@ed.ac.uk
Subject   Re: st: Stata resources for newbie
Date   Tue, 28 May 2013 12:39:09 +0100

. search [U]

and the answer was not useful!
Nick
njcoxstata@gmail.com


On 28 May 2013 12:25, Margaret MacDougall <Margaret.MacDougall@ed.ac.uk> wrote:
> Thanks for taking the trouble to be precise, Nick.
>
>
> Best wishes
>
> Margaret
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Dr Margaret MacDougall
> Medical Statistician and Researcher in Education
> Centre for Population Health Sciences
> University of Edinburgh Medical School
> Teviot Place
> Edinburgh EH8 9AG
>
> Tel:  +44 (0) 131 650 3211
> Fax:  +44 (0) 131 650 6909
> E-mail: Margaret.MacDougall@ed.ac.uk
> http://www.chs.med.ed.ac.uk/cphs/people/staffProfile.php?profile=mmacdoug
>
> On 27/05/2013 20:57, Nick Cox 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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>>
>> *
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>> *   http://www.stata.com/support/faqs/resources/statalist-faq/
>> *   http://www.ats.ucla.edu/stat/stata/
>>
>
> --
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
*
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