[R-sig-ME] Single DV with multiple measures for time-varying IV?

[Thierry Onkelinx]

Dear Ellen,

An extract of your dataset or a small dummy dataset coverting the important
features of your data would make it much easier to answer your questions.
And please don't send HTML emails. Any HTML formating gets stripped which
can make your email very hard to read.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op ma 12 nov. 2018 om 20:01 schreef Pero, Ellen <
ellen.pero using umconnect.umt.edu>:

> Hi all:
>
> I have an analytical dilemma wherein I have a single DV with multiple
> categorical and continuous IVs (one of which is a continuous IV that has
> multiple measurements across time). I'm not sure the best way to model for
> this - though it's clearly a hierarchical situation so I thought this might
> be a good venue to pose the question.
>
> Specifically, I have 60 pregnant elk from which I took monthly cortisol
> samples across gestation (some missing values, so 5-8 samples/female across
> gestation). I'm interested in how those stress measurements across
> gestation (along with a range of other IVs that don't vary with time, e.g.,
> dam age, sire age, calf birthdate) influence the birth mass of each
> female's calf.
>
> Any suggestions on analysis for situations where a single DV is predicted
> by longitudinal measures of time-varying IV (along with non-varying IVs)?
>
> I'm new to this list and will spend some time familiarizing myself with it
> - but was eager to get my question out. Apologies if this isn't the right
> venue for my non-development related question. Please disregard if
> appropriate.
>
> I appreciate any thoughts/advice/suggestions!
> El
>
>
>
> Ellen Pero
> PhD Student
> Wildlife Biology Program
> W.A. Franke College of Forestry and Conservation
> University of Montana
> 32 Campus Drive, FOR 318
> Missoula, MT 59812
>
>
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>
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