Population averaged models, Advanced Statistics

Assignment Help:

Population averaged models are the models for kind of clustered data in which the marginal expectation of response variable is the main focus of interest. An alternative approach is taken in use to subject-specific models which concentrate on the modelling of the changes in an individual's response.

This is accomplished by the introducing subject-specific random effects into model. The mixed effects model or the multilevel model is an instance. There are two key points which differentiate the two types of model.

* The regression coefficients of the population averaged model define what the average population response looks like. By contrast regression coefficients of a subject-specific model define what the average individual's response curve looks like. In number of the cases and in particular when the model is linear in subject-specific effects, the two interpretations will coincide. In the more usual non-linear setting, though, the two approaches can lead to quite different conclusions.

* A additional distinction lies in specification of the underlying variance-covariance structure. In the population averaged models the marginal expectations are explicitly modelled while choosing the variance-covariance structure which adequately describes the correlation pattern between the repeated measurements. In subject-specific models, yet, individual heterogeneity is modelled using the subject-specific effects and it is these random effects which partially determine variance-covariance structure. c random effects into model. The mixed effects model or the multilevel model is an instance. There are two key points which differentiate the two types of model.


Related Discussions:- Population averaged models

Designmatrix, how to constuct design matrix

how to constuct design matrix

Density estimation, Procedures for estimating the probability distributions...

Procedures for estimating the probability distributions without supposing any particular functional form. Constructing the histogram is perhaps the easiest example of such type of

EDUC 606, The GRE has a combined verbal and quantitative mean of 1000 and a...

The GRE has a combined verbal and quantitative mean of 1000 and a standard deviation of 200.

Range, Range is the difference between the largest and smallest observatio...

Range is the difference between the largest and smallest observations in the data set. Commonly used as an easy-to-calculate measure of the dispersion in the set of observations b

Mean, You have learned that there are 3 major central measures of any data ...

You have learned that there are 3 major central measures of any data set. Namely: mean, median, and mode. Which of the three, do the outliers affect the most?

Assignment, Different approaches to the study of early indian history

Different approaches to the study of early indian history

Petersen''s factor theorem, Suppose the graph G is n-connected, regular of ...

Suppose the graph G is n-connected, regular of degree n, and has an even number of vertices. Prove that G has a one-factor. Petersen's 2-factor theorem (Theorem 5.40 in the note

Define matching coefficient, Matching coefficient is a similarity coeffici...

Matching coefficient is a similarity coefficient for data consisting of the number of binary variables which is often used in cluster analysis. It can be given as follows    he

Probability weighting, Probability weighting is the procedure of attaching...

Probability weighting is the procedure of attaching weights equal to inverse of the probability of being selected, to each respondent's record in the sample survey. These weights

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd