Define interval-censored observations, Advanced Statistics

Interval-censored observations are the observations which often occur in the context of studies of time elapsed to the particular event when subjects are not monitored regularly. Instead the prior occurrence of the event of interest is detectable only at particular times of observation, for instance, at the time of medical examination. 

Posted Date: 7/30/2012 12:42:55 AM | Location : United States







Related Discussions:- Define interval-censored observations, Assignment Help, Ask Question on Define interval-censored observations, Get Answer, Expert's Help, Define interval-censored observations Discussions

Write discussion on Define interval-censored observations
Your posts are moderated
Related Questions
Meta-analysis is the collection of techniques whereby the results of two or more independent studies are statistically combined to yield the overall answer to a question of intere

Non-response is the term generally used for the failure to give the relevant information being collected in the survey. Poor response can be because of the variety of causes, for

Different approaches to the study of early indian history

I need you to help me for Business Statistics class with homework quizzes. Can you help to do it?

Computer-aided diagnosis : The computer programs which are designed to support clinical decision making. In common, such systems are based on the repeated application of the Bay

The alternative process to make use of the chi-squared statistic for assessing the independence of the two variables forming a two-by-two contingency table particularly when expect

Input to the compress is a text le with arbitrary size, but for this assignment we will assume that the data structure of the file fits in the main memory of a computer. Output of

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?

What is the EM?

Particlefilters is a simulation method for tracking moving target distributions and for reducing computational burden of the dynamic Bayesian analysis. The method uses a Markov ch