[R] reference on fisher.test()

[Tom Backer Johnsen]

For me, the classical reference for FET is:

@BOOK{Siegel56,
  title = {Nonparametric Statistics for the Behavioral Sciences},
  publisher = {McGraw-Hill},
  year = {1956},
  author = {Siegel, Sidney},
  address = {New York}
}

Tom

Prof Brian Ripley wrote:
> On Fri, 16 Oct 2009, Robin Hankin wrote:
>
>> Hi
>>
>> fexact.c points you to the original ACM paper:
>
> Well, you'll get a better idea from the help page as to the real 
> 'original' source reference: the reference below is to a revised 
> version in a remark.
>
> And indeed Agresti's book (first edition on the help page, also has a 
> 2002 second edition) is a good source for the 'minutiae'.
>
>
>
>>
>> /*
>> ALGORITHM 643, COLLECTED ALGORITHMS FROM ACM.
>> THIS WORK PUBLISHED IN TRANSACTIONS ON MATHEMATICAL SOFTWARE,
>> VOL. 19, NO. 4, DECEMBER, 1993, PP. 484-488.
>> ---------------------------------------------------------
>>
>> You may find the discussion in the vignette("fishervig")
>> in the aylmer package helpful.
>>
>>
>>
>> HTH
>>
>>
>> Robin
>>
>>
>>
>>
>>
>> Peter Dalgaard wrote:
>>> Peng Yu wrote:
>>>> On Thu, Oct 15, 2009 at 4:19 PM, RICHARD M. HEIBERGER 
>>>> <rmh at temple.edu> wrote:
>>>>> On Thu, Oct 15, 2009 at 4:56 PM, Peng Yu <pengyu.ut at gmail.com> wrote:
>>>>>> Can somebody point me a book on Fisher's exact test? I looked a few
>>>>>> webpages. But the descriptions on the webpages are not very 
>>>>>> complete.
>>>>>> Is there a book on that covers all the aspect of Fisher's exact test
>>>>>> that is implemented in R?
>>>>> Section 15.2 of my book (Statistical Analysis and Data Display, with
>>>>> Burt Holland and published by Springer)
>>>>>  shows a detailed example.
>>>>
>>>> It doesn't mention odd ratio.
>>>
>>> The general idea of basing the inference on the noncentral 
>>> hypergeometric distribution is something I have first seen in 
>>> Breslow&Day's famous 1980 book on case-control studies, including 
>>> the fact that the conditional MLE differs from the ordinary OR. (I'm 
>>> sure there's an earlier reference, but I happened to be a grad 
>>> student when that book came out...)
>>>
>>> The rest of what R does is "carbon copied" from similar procedures 
>>> for the binomial distribution. I wouldn't know what kind of book to 
>>> look for for that sort of minutiae. Alan Agresti is a possible source.
>>>
>>
>>
>> -- 
>> Robin K. S. Hankin
>> Uncertainty Analyst
>> University of Cambridge
>> 19 Silver Street
>> Cambridge CB3 9EP
>> 01223-764877
>>
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>