Stephen Wild(@stephenjwild) 's Twitter Profileg
Stephen Wild

@stephenjwild

I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement. Graduate of YouTube University

ID:966488115446722561

linkhttp://sjwild.github.io calendar_today22-02-2018 01:41:38

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Stephen Wild(@stephenjwild) 's Twitter Profile Photo

One key phrase likely to be overlooked is 'are solely a function of independent variables included in the model.' So always check to see how the weights are constructed.

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Stephen Wild(@stephenjwild) 's Twitter Profile Photo

Both within and between effects are usually interesting, and if you are doing prediction you should probably use both, though I guess it depends on what you care about predicting

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Matthijs Hollanders(@realHollanders) 's Twitter Profile Photo

First blog post! Stan can be daunting for ecologists because discrete parameters are not allowed with Hamiltonian Monte Carlo (HMC), and many ecological models are constructed as hidden Markov models (HMMs) where the latent ecological states of interest are discrete. (1/3)

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Stephen Wild(@stephenjwild) 's Twitter Profile Photo

Can someone explain why I would want to use the PROCESS macro for mediation/moderation? What are better options?

Apparently there is a whole book on the macro, but I don't want to read it right now.

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Pavlos Msaouel(@PavlosMsaouel) 's Twitter Profile Photo

Excited to publish Harvard Data Science Review an overview on interpreting randomized controlled trials focusing on information. By prioritizing this fundamental principle, previously obscure statistical concepts reveal their intrinsic beauty: hdsr.mitpress.mit.edu/pub/yb9eq8ja/r…

Excited to publish @TheHDSR an overview on interpreting randomized controlled trials focusing on information. By prioritizing this fundamental principle, previously obscure statistical concepts reveal their intrinsic beauty: hdsr.mitpress.mit.edu/pub/yb9eq8ja/r…
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