Describe length-biased sampling, Advanced Statistics

Length-biased sampling: The bias which arises in the sampling scheme based on the visits of patient, when some individuals are more likely to be chosen than others simply because they make much frequent visits. In the screening study for cancer, for instance, the sample of cases detected is likely to contain an excess of the slow-growing cancers compared to the sample diagnosed positive because of their symptoms.

Posted Date: 7/30/2012 2:02:13 AM | Location : United States







Related Discussions:- Describe length-biased sampling, Assignment Help, Ask Question on Describe length-biased sampling, Get Answer, Expert's Help, Describe length-biased sampling Discussions

Write discussion on Describe length-biased sampling
Your posts are moderated
Related Questions
The method of summarizing the large amounts of data by forming the frequency distributions, scatter diagrams, histograms, etc., and calculating statistics like means variances and

The diagnostic tools or devices used to approach the closeness to the linearity of the non-linear model. They calculate the deviation of so-called expectation surface from the plan

Grade of membership model: This is the general distribution free method for the clustering of the multivariate data in which only categorical variables are included. The model ass

An approach of using the likelihood as the basis of estimation without the requirement to specify a parametric family for data. Empirical likelihood can be viewed as the example of

Naor's distribution is the discrete probability distribution which arises from the following model; Assume an urn contains n balls of which one is red and the remainder is whit

literature review of latin square design.

Pie chart is an extensively used graphical technique for presenting relative frequencies related with the observed values of the categorical variable. The chart comprises of a cir

Personal probabilities : A radically special approach for allocating probabilities to events than, for instance, the commonly used long-term relative frequency approach. In this ty

Reasons for screening data     Garbage in-garbage out     Missing data          a. Amount of missing data is less crucial than the pattern of it. If randomly

Bonferroni correction : A procedure for guarding against the rise in the probability of a type I error when performing the multiple signi?cance tests. To maintain probability of a