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Ascertainment bias: A feasible form of bias, particularly in the retrospective studies, which arises from the relationship between the exposure to the risk factor and the probability of detecting an event of interest. In the research comparing women with cervical cancer and the control group, for instance, an excess of oral contraceptive use with the cases might possibly be due to more often screening for the disease among the women known to be taking the pill.
A diagram illustrating the feed-forward network.
Pattern recognition is a term for a technology that recognizes and analyses patterns automatically by machine and which has been used successfully in many areas of application inc
Contour plot : A topographical map drawn from data comprising observations on the three variables. One variable is represented on horizontal axis and the second variable is represe
Cartogram : It is the diagram in which descriptive statistical information is displayed on the geographical map by the means of shading, different symbols or in some other possibly
Difference between tretment design and experimental design
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?
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
meaning,uses,shortcomings and drawbacks of vital statistics
Hypothesis testing is a general term for procedure of assessing whether the sample data is consistent or otherwise with statements made about the population. It basically tells u
Bayesian confidence interval : An interval of the posterior distribution which is so that the density of it at any point inside the interval is greater than that of the density at
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
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