This definitely looks like something. Thanks, Matt!

Cheers,

Luiz


2013/11/11 Matt Pennell <mwpenn...@gmail.com>

> Hi Luiz,
>
>
> Yes, non-random sampling of traits, if not taken into account will
> certainly bias the estimation of the transition parameters. Methods for
> addressing this have been developed by Rich FitzJohn and colleagues
> http://sysbio.oxfordjournals.org/content/58/6/595.short (this was
> discussed in the context of state dependent diversification but also
> applies to regular Mk models, which is just a special case of the BiSSE
> model).
>
> I am sure there are potentially interesting follow-ups one could do here.
>
> cheers,
> matt
>
> On Mon, Nov 11, 2013 at 9:52 AM, Luiz Max Carvalho <
> luizepidemiolo...@gmail.com> wrote:
>
>> Dear all,
>>
>> Suppose you have  observed K discrete traits for a phylogeny with N tips.
>> For some reason, you think your trait sampling is not random, i.e., it may
>> be biased towards some particular K's, for example because they're easier
>> to sample.
>>
>> I imagine this will introduce some bias in the estimation of the
>> infinitesimal rate matrix of the Markov model of trait evolution (Q). I
>> would like to address this question in a more mathematically precise way.
>> Have anyone heard of a study addressing these issues so far, both
>> mathematically or using simulation studies?
>>
>> Thanks in advance.
>>
>> All the best,
>>
>> Luiz
>>
>>
>> --
>> Luiz Max Fagundes de Carvalho, IC, Programa de Computação Científica
>> (PROCC), Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
>>
>> https://www.researchgate.net/profile/Luiz_Fagundes_de_Carvalho/?ev=prf_info
>>
>>         [[alternative HTML version deleted]]
>>
>>
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>>
>
>


-- 
Luiz Max Fagundes de Carvalho, IC, Programa de Computação Científica
(PROCC), Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
https://www.researchgate.net/profile/Luiz_Fagundes_de_Carvalho/?ev=prf_info

        [[alternative HTML version deleted]]

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