Diggle kenward model for dropouts, Advanced Statistics

The model which is applicable to the longitudinal data in which the dropout process might give rise to the informative lost values. Specifically if the study protocol specifies the common set of n measurement times for all the subjects, and d is used to signify the subject's dropout time, with D=d if the values consequent to times d, d+1; ... ; n are missing and D=n+1 indicating that the subject did not drop out, then the statistical model includes the joint distribution of the observations y and d. This joint distribution can be given in two equivalent ways which are as follows,

414_diiggle kenward.png 

the conditional probability

1976_diggle kenward.png



Posted Date: 7/27/2012 3:07:26 AM | Location : United States

Related Discussions:- Diggle kenward model for dropouts, Assignment Help, Ask Question on Diggle kenward model for dropouts, Get Answer, Expert's Help, Diggle kenward model for dropouts Discussions

Write discussion on Diggle kenward model for dropouts
Your posts are moderated
Related Questions
Cluster randomization : The random allocation of the groups or clusters of the individuals in the formation of treatment groups.Eeven though not as statistically ef?cient as the in

Random allocation is a technique for creating the treatment and control groups particularly in accordance of the clinical trial. Subjects receive the active treatment or the place

A manufacturing company has two factories F 1 and F 2 producing a certain commodity that is required at three retail outlets M 1 , M 2 and M 3 . Once produced, the commodity is

Confidence interval : A range of the values, calculated from the sample observations which is believed, with the particular probability, to posses the true parameter value. A 95% c

Continual reassessment method: An approach which applies Bayesian inference for determining the maximum tolerated dose in a phase I trial. The method starts by assuming a logistic

Auto correlation : The correlation of the internal observations in the time series, generally expressed as a function of the time lag between the observations. It is also used for

The number of passengers arriving at an airport terminal average 1200 each hour. To process passengers (check in, take luggage, etc) take an average of 6 minutes each. There are

Path analysis  is  a device for evaluating the interrelationships among the variables by analyzing their correlational structure. The relationships between the variables are man

The results of a survey determined whether the age of a driver 21 years and older has any effect on the number of motor vehicle accidents in which he/she is involved. Question 1:

Introduction to Generalized Linear Models (GLM) We introduce the notion of GLM as an extension of the traditional normal-theory-based linear regression models. This will be very