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2 votes

"RV coefficient" relationship to canonical correlation

In a geometric sense, they appear to be closely related in that they are the same basic thing under two different metrics. Recall this general rule for inner products: $$\frac{\langle A,B \rangle}{\...
Randy Savage's user avatar
0 votes

Multi Level Mixed Models

With only 3 farms, a random effect model such as this is highly suspect. I would instead use a so-called fixed effects model in which you include 0/1 indicators for each farm (minus one) and perhaps ...
Erik Ruzek's user avatar
  • 4,745
1 vote

Distance between two multivariate distributions

If all you want is to measure the difference between the distributions, the Energy Distance would be a good option. (Looks like @Noah beat me to the punch with the e-dist recommendation!)
epistemetrica's user avatar
1 vote
Accepted

Environmental variables explain hare weight - 80 traps in 4 zones where each trap caught unequal number of hares - Linear mixed effects model best?

You will want a linear mixed effect model. The lme4 and glmmTMB packages in R are fairly easy to use. It sounds like you have repeated measurements on tagged hares, multiple hares per trap, and you ...
N Brouwer's user avatar
  • 2,163
1 vote

How to calculate the autocorrelation coefficient of multi-dimensional time series

In one dimension, the (empirical) autocorrelation coefficient at lag $k$ (for $k$ between $0$ and $n-1$) of a series of numbers $\mathbf t = t_1, t_2, \ldots, t_n$ is the correlation coefficient of ...
whuber's user avatar
  • 324k
1 vote

Sample size calculation for a multicenter RCT

Let me see if I understand: Your main outcome here is time until stopping of treatment. While the paper you linked mentions sample size calculations for medians, I think a time-to-event analyses is ...
Demetri Pananos's user avatar
3 votes

Sample size calculation for a multicenter RCT

Given your non-trivial design, I would suggest you turn this task a bit onto its head and use a simulation-based sample size planning approach. A nice intro to this would be: External validation of ...
usεr11852's user avatar
  • 44.2k
4 votes
Accepted

Sample size calculation for a multicenter RCT

Most statisticians ignore centers when doing sample size calculations. That doesn't cause too much of a problem. The best models for duration of treatment are the Cox proportional hazards model or ...
Frank Harrell's user avatar
0 votes

How to apply RLQ ordination to communities with different species?

Not sure what you mean by "The site x species abundance matrix would include many missing values". These should be zero, not NA, if a given species is not present in a given site. To ...
Diogo B Provete's user avatar
1 vote
Accepted

Inference from profile comparisons

You have compositional data, you can peruse the tag compositional-data at site. You can use some transforms to help in analysis, see a summary here. Some useful posts on this site to get you started: ...
kjetil b halvorsen's user avatar
2 votes
Accepted

multivariate meta-analysis - can subgroup indicator reflect several different variables and outcome types?

Sure, that is possible and since the results would be identical to running separate analyses/models, it is a valid approach. Here is an example with two different effect size measures (log risk ratios ...
Wolfgang's user avatar
  • 17k
1 vote

Choosing the right modeling procedure

These sound like very complex causal questions, where you seem to be ignoring many important aspects (e.g. what diseases do the people have, is the diagnosis probability the same for all of them even ...
Björn's user avatar
  • 32.4k
2 votes

Choosing the right modeling procedure

With ordered outcomes like your integer values, ordinal regression is a useful choice. It makes no assumptions about the distribution of outcome values (or of residuals around model estimates). It can ...
EdM's user avatar
  • 92.5k

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