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Computer-assisted interviews: A method or technique of interviewing subjects in which the interviewer reads the question from the computer screen instead of the printed page, and makes use of the keyboard to enter the answer. Skip patterns (that is 'if so-and-so, go to query such-and-such') are built into program, so that the screen automatically shows the appropriate question. Checks can be built in and the immediate warning given if a reply lies outside the acceptable range or is inconsistent with earlier replies; revision of earlier replies is permitted, with the automatic return to the current question. The responses are entered straightly on to the computer record, avoiding the requirement for subsequent coding and the data entry. The program can make automatic selection of the subjects who need additional procedures, like supplementary questionnaires, special tests, or follow-up visits.
Completeness : A term applied to a statistic t when there is only one function of that the statistic which can have the given expected value. If, for instance, the one function of
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
Matching distribution is a probability distribution which arises in the following manner. Suppose that the set of n subjects, numbered 1; . . . ; n respectively, are arranged in
Attack rate : This term frequently used for the incidence of the disease or condition in the particular group, or during a limited interval of time, or under the special circumstan
1) Consider an antenna with a pattern: G(θ,φ) = sinn(θ/θ0) cos(θ/θ0) where θ0 = Π/1.5 (a) What is the 3-dB bandwidth? (b) What is the 10-dB beam width? (c) What is t
The procedure which targets to use the health and health-related data which precede diagnosis and/or confirmation to identify possible outbreaks of the disease, mobilize a rapid re
This is the theorem which states that if the error terms in a multiple regression have the same variance and are not corrected, then the estimators of the parameters in the model p
Persson Rootze ´n estimator is an estimator for the parameters in the normal distribution when the sample is truncated so that all the observations under some fixed value C are re
Hamilton County judges try thousands of cases per year. In an overwhelming majority of the cases disposed, the verdict stands as rendered. However, some cases are appeale
The non-trivial extraction of implicit, earlier unknown and potentially useful information from data, specifically high-dimensional data, using pattern recognition, artificial inte
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