3
votes
1answer
252 views

Clustering in Cox proportional hazards model MLM vs. sandwich estimator

This question is about a paper I am reviewing, so I cannot give a lot of detail, but I can say it involves patients clustered in hospitals and a Cox proportional hazards model. My instinct for such ...
0
votes
2answers
100 views

Choosing the number of clusters when only the distance matrix is available

I am performing a hierarchical clustering and a DBSCAN clustering on a distance matrix (A self-organizing map is something that I want to do as well). I am trying to find a method to choose the number ...
7
votes
0answers
382 views

Clustered standard errors vs. multilevel modeling?

I've skimmed through several books (Raudenbush & Bryk, Snijders & Bosker, Gelman & Hill, etc.) and several articles (Gelman, Jusko, Primo & Jacobsmeier, etc.), and I still haven't ...
2
votes
2answers
136 views

Incremental hierarchical clustering

I have an online k-means algorithm following this scheme: ...
2
votes
2answers
1k views

How to derive a distance function based on multiple variables for cluster analysis?

I am not a statistician, so please excuse my lack of statistics knowledge/terminology. I have bunch of network nodes that I want to run cluster analysis on and identify clusters. So as far as I ...
5
votes
1answer
210 views

Variant of discriminant analysis for known multiple independent classifications?

I have a large data set: over 100,000 data points, each with 60 dimensions. I want to display the data in 2D to visibly maximize the separation between classes, which I know for each point. I asked a ...
5
votes
2answers
267 views

Does a distance have to be a “metric” for an hierarchical clustering to be valid on it?

Let us say that we define a distance, which is not a metric, between N items. Based on this distance we then use an Agglomerative hierarchical clustering. Can we use each of the known algorithm ...
3
votes
1answer
1k views

Clustered standard errors and multi-level models

Stata allows estimating clustered standard errors in models with fixed effects but not in models random effects? Why is this? By clustered standard errors, I mean clustering as done by stata's ...