The nested tag has no wiki summary.
0
votes
0answers
20 views
Logit: what does irrelevance of the benchmark mean?
In McFadden - Analysis of Qualitative Choice Behavior, Axiom 3 (Irrelevance of Alternative Set Effect) states:
The function $V(s,x,z)$ determining the selection probabilities in
$P(x|s,B) =\ ...
1
vote
0answers
35 views
How do I set up a multivariate hierarchical multiple linear regression in R?
I have two continuous DVs (measurements taken on individual fish), one continuous individual level IV (fish's size), and two site-level IVs (PC1 and PC4). Sites are either take or no take. There are ...
2
votes
1answer
28 views
Nested Models for Likelihood Test
If I have a logistic regression model with 3 predictors, $x_1$, $x_2$, $x_3$, and then I remove $x_3$ from my model (left with only $x_1$ and $x_2$), are those models nested? And therefore I can use ...
0
votes
2answers
168 views
One-way repeated measures anova
I tried finding an answer to this question on this and other sites but to no avail - if I am missing something please excuse my inability to locate the answer!
Basically I have several dependent ...
1
vote
0answers
142 views
Mixed model repeated measures, nested
I have a study in which I have 3 groups of crews (4 crews in each group) in
which there are two people (L/R). Each crew experienced 4 lighting treatments (D1-4),
once in one position, and again in ...
2
votes
0answers
61 views
Nesting and grouping formula confusions using lme
I've seen a fair few of these posts already, and I feel a bit silly for posting yet another question on the topic - but I just cant seem to get my head around it. I'm very new to R and esp new to lme, ...
0
votes
0answers
68 views
merging two studies into a repeated nested design in SPSS
I've got a pretty messy situation: I'm trying to merge the data from two related studies into one analysis but they were designed slightly differently. Both studies took place at the same location and ...
1
vote
2answers
71 views
Nesting / hierarchical modeling in a pre-post study
We are conducting a study which has a pre-post design. The unit of the study is the outpatient visit. In each visit, we study how patients and physicians interact.
Each physician will see between ...
0
votes
0answers
17 views
Two-Level Frailty Model
I am trying to fit a Cox model, where,
$$
h_{ijk}(t_{ijk}|v_{i},w_{ij})=v_{i}w_{ij}h_{0}(t_{ijk})e^{X_{ijk}'\mathbf{\beta}}
$$
where
$v_{i}$ is the random effects for $i$th cluster, $w_{ij}$ is the ...
4
votes
1answer
194 views
When to include a random effect in a model
I'm new to mixed modelling and i'm confused as to whether its appropriate to use a random effect in an analysis I'm doing. Any advice would be appreciated.
my study is testing how well a newly ...
1
vote
0answers
70 views
Nested mixed model
I have a data set where we have collected fish for behavioural experiments from different areas and within each area we have selected a clear water site and a eutrophied site. We then brought the fish ...
2
votes
0answers
81 views
Nested repeated measures analysis
I have a nested repeated measures question. I have 20 individuals grouped into 5 families. For each individual I have measurements on subsequent days pre, during, and post-treatment for a total of 6 ...
2
votes
0answers
140 views
When to use likelihood ratio test vs. incremental F-test in nested nonlinear model selection?
I have two nested nonlinear models and I want to know which provides a better fit to some data. I see descriptions of both the likelihood ratio test and of the incremental F-test (also called the ...
5
votes
1answer
217 views
Biased estimates when intercept is included in a linear regression
I am simulating 10000 data-sets, each of length 20, that follow an autoregressive model with lag 1, using the following code:
...
0
votes
0answers
279 views
Step-by-step mixed model analysis in R using lme, ezANOVA, or aov
My data consist of 4 treatments (fixed), 8 locations (2 locations per treatment), 3 positions (per location, fixed), 3 samples (per location, random), with dependent variable ...
7
votes
1answer
688 views
Nested/SplitModel - RepeatedMeasures/MixedModel ANOVA: levels of nesting & scripting in R
My data set has the following variables:
Treatment (4 types- fixed)
Location (8 locations- fixed)
Position in Location (3 positions per location- fixed)
Samples are taken in each position (3 ...
1
vote
1answer
177 views
Can higher level be insignificant but lower level significant in a nested ANOVA?
I have ran a nested ANOVA on a data set and the results suggest that there is an association for the higher level with an insignificant P-value but also an association for the lower level with a ...
3
votes
0answers
63 views
Can I validly expand the odds ratio analogously to the relationship between relative risk & the incidence rate ratio?
I am involved in a nested Case-Control study that involves cohorts of cases and controls entering a program, with the outcome of failure by six months. Cases and controls are individually matched on ...
1
vote
1answer
112 views
Nested or Split plot
I have a design with four factors
Frame (positive negative neutral)
Graphic ( graph no graph)
Color (red grey) nested in graphic
Position of color (nested in color, which is nested in graphic)
...
10
votes
1answer
196 views
AIC for non-nested models: normalizing constant
The AIC is defined as $AIC=-2 \log(L(\hat\theta))+2p$, where $\hat\theta$ is the maximum likelihood estimator and $p$ is the dimension of the parameter space. For the estimation of $\theta$, one ...
2
votes
0answers
95 views
Effects of multiple within-subjects factors when not all combinations of levels are available
My question: how can I analyze the effects of multiple within-subjects factors when my design does NOT include the all combinations of their factor levels, as would be required by a standard factorial ...
2
votes
2answers
324 views
Inner loop overfitting in nested cross-validation
I have implemented nested cross validation in Matlab for a classification problem. I have 56 features and 408 cases.
I am performing feature and model selection in the inner cross-validation loop, ...
4
votes
2answers
353 views
Nested logistic regression in R
I am trying to find a way to do Nested Logistic Regression in R that fits my needs. I have a very large data set with almost 200 variables available. I have found my "best" model and it contains 12 ...
3
votes
1answer
142 views
Survival analysis for nested, censored and dependent data
I have to analyse the effects of different treatments on the survival of individuals for 1 week.
But:
the data are 'grouped': individuals were grouped by 10, and the survival probability is ...
3
votes
0answers
290 views
How to choose between nested or split-plot analysis of variance?
I am having serious problems understanding the type of design I have, I would appreciate any help you can give me to understand it:
I have 324 data points, and four factors:
...
2
votes
1answer
248 views
How to nest in a generalized linear model in R?
I have 108 counts taken from 36 field points. I took three counts from each point at different times, also, the 36 field points are divided in a altitude factor of three levels (12 points at each ...
2
votes
0answers
305 views
2x2x2 plus control group: nested ANOVA?
I recently ran an experiment assessing the impact of three system factors (factor A; factor B; factor C) on user attitudes (4-item scale). Each system factor had two levels (high vs. low). As a ...
2
votes
1answer
102 views
Effect of %in% in a model formula?
What is the meaning and effect of %in% in a model formula?
It is apparently used for nesting of one variable into another in a variety of analysis (manova, anova, regressions) in a few published ...