The log-linear tag has no wiki summary.
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25 views
Log-linear vs. logistic model notation in LEM
I am not sure whether anyone still uses LEM for categorical analyses (log-linear, logistic, latent class models etc), I hope there are old-school individuals out there :)
So, I have a model, which ...
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0answers
29 views
Penalized methods for categorical data: combining levels in a factor
Penalized models can be used to estimate models where the number of parameters is equal to or even greater than the sample size. This situation can arise in log-linear models of large sparse tables of ...
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0answers
24 views
Log-linear analysis vs Breslow-day test
I would like to test independence of several categorical variables for a few datasets. I believe Breslow-day is possible for some of the analyses I want to do, and log-linear may be possible for all, ...
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1answer
162 views
Does every log-linear model have a perfectly equivalent logistic regression?
I am trying to fit a log-linear model to a large number of variables from survey data. There are some reasons that it might be preferable to fit logistic regressions to that data instead. Several ...
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37 views
Is there a reliable algorithm to identify a low-dimensional log-linear model that fit high-dimensional data (if one exists)?
I am working with data from a complex survey, with over 100 variables per observation. From this I will be selecting 30 to 40 variables. All variables are categorical, with number of levels ranging ...
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52 views
Estimating log-linear models of survey data from the published marginal distributions
Suppose you have a complex survey that identifies each subject on N dimensions, N > 10, each of which places the subject in one and only one of k sub i categories, where the probability of the k sub ...
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2answers
110 views
Which statistical model should I apply when the DV is a count variable? [duplicate]
What is best statistical model to assess effect of habitat type and year (categorical factors), and ...
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2answers
329 views
How to test (in Stata) whether the gender distribution of employees to jobs differs across two companies?
I have data on several companies where some are headed by a male CEO while others by a female CEO. As you can imagine, the jobs within these companies have different gender compositions. What I am ...
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0answers
48 views
Replication in multivariate logit in R
I am new to both logit models and GLMs, but I think one of those two model classes might be the correct analysis for my data set:
I am interested in comparing the composition of the diet of fish ...
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4answers
198 views
Log Linear Models
Can someone please explain why do we use Log Linear Models in very lay-man terms? I come from Engineering background, and this is really turning out to be a difficult subject for me, statistics that ...
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1answer
121 views
Using interaction term for describing non-linear relationship in regression model
I have created a Rscript for illustrating my question:
...
0
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1answer
132 views
Why can log-linear models for binary data be trained using Poisson regression
Any arbitrary distribution of a multivariate binary variable can be represented as a log-linear model. That is, for $X = (X_1,\dots,X_d)$ a $d$ dimensional binary rv, the distribution can be written ...
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2answers
1k views
How to analyze residuals of Poisson log-linear model?
I have bird count data and use classical poisson loglinear model, i.e. we have counts obs(i,j) - observed count for site i and ...
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1answer
208 views
Do zero counts need to be adjusted for a likelihood ratio test of poisson/loglinear models?
If there are 0's in the contingency table and we're fitting nested poisson/loglinear models (using R's glm function) for a likelihood ratio test, do we need to ...
3
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1answer
90 views
Using an OLS coefficient to estimate a non-linear coefficient
Using OLS, I've estimated the following equation:
$y_i = \alpha_0 + \alpha_1 X_i + \epsilon_i$
I know that theoretically, the following should be true:
$y_i = a + (1-e^{-\lambda 60}) X_i$
Is ...
6
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3answers
498 views
Appropriate way to deal with a 3-level contingency table
I have a three level contingency table, with count data for several species, the host plant from which they were collected and whether that collection happened on a rainy day (this actually matters!). ...
3
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1answer
504 views
Mixed effects log-linear models
There are occasions where I would like to fit log-linear models where the independence assumption between observations is violated. It is the normal case that I have multiple observations from each ...
