Network sampling is a sampling design in which the simple random sample or strati?ed sample of the sampling units is made and all observational units which are linked to any of the selected sampling units are taken. Different observational units might be linked to different numbers of sampling units. In the survey for estimation of the prevalence of a rare disease, for instance, a random sample of medical centers may be chosen. From the records of each medical centre in sample, records of the patients who are treated for the disease of interest could be extracted. A given patient might have been treated at more than one centre and the more centers at which the treatment has been taken, the higher the inclusion probability for the patient's records.

Posted Date: 7/30/2012 6:41:50 AM | Location : United States

Ask an Expert

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

Write discussion on Network sampling
Your posts are moderated

Write your message here..

Related Questions

Relative risk, Relative risk is the measure of the association between the... Relative risk is the measure of the association between the exposure to a particular factor and the risk or probability of a convinced outcome, calculated as follows     therefor

Decision Models., An oil company thinks that there is a 60% chance that the... An oil company thinks that there is a 60% chance that there is oil in the land they own. Before drilling they run a soil test. When there is oil in the ground, the soil test comes

Partial autocorrelation function, The graph for Partial Autocorrelation Fun... The graph for Partial Autocorrelation Function for RES1 shows that there is no autocorrelation even though there are alternating spikes because they fall inside the 5% significance

Anova, a. Explain the meaning of the word non-orthogonal. b. What conditio... a. Explain the meaning of the word non-orthogonal. b. What condition(s) must exist for non-orthogonality to occur? Be specific.

Describe ignorability., Ignorability : The missing data mechanism is said t... Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators

Combine standard deviation, what is the combine standard deviation height f... what is the combine standard deviation height from the follwing

Generate a scatter plot, Suppose we estimate the following model: Passen... Suppose we estimate the following model: Passengersi = 1 + 2Populationi + ui a) Generate a scatter plot with passengers on the vertical axis and population on the horizonta

Falsediscoveryrate (fdr), The approach of controlling the error rate in an ... The approach of controlling the error rate in an exploratory analysis where number of hypotheses are tested, but where the strict control which is provided by multiple comparison p

Randomization tests, Randomization tests are the procedures for determinin... Randomization tests are the procedures for determining the statistical significance directly from the data with- out recourse to some particular sampling distribution. For instanc

Expected frequencies, A term commonly encountered in the analysis of the co... A term commonly encountered in the analysis of the contingency tables. Such type of frequencies are the estimates of the values to be expected under hypothesis of interest. In a tw