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Paired data arise in a number of different situations, such as in a matched case control study in which individual cases and controls are matched to each other, or in a repeat measures study in which some measurement is made on the same set of individuals on more than one occasion (generally under different circumstances).
Rather than perform a sensitivity analysis it is also possible to explicitly model the process by which missing data arise in a selection model, but we chose not to do this because this is problematic when covariates have missing values; the regression coefficients for the response might be seriously biased if the model is incorrect, and it is not possible to test such models formally in any case.
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It is generally recognised in many areas of the social, medical and other sciences that data arise in complex multilevel structures, for example responses from individuals who are grouped together in communities or institutions.
Such type of data arises in the motion of a single inverted pendulum in the field of non-linear control theory [22].
Questions about sharing bank data arose in 2006, when it emerged that a Belgian cooperative responsible for routing about $6 trillion daily among banks, brokerage houses, stock exchanges and other institutions had provided information about transactions involving thousands of Americans and others in the United States in the wake of the Sept. 11 attacks.
Questions about sharing bank data arose in 2006, when it emerged that a Belgian cooperative responsible for routing about $6 trillion daily among banks, brokerage houses, stock exchanges and other institutions had provided information about transactions involving thousands of Americans and others in the United States in the wake of the attacks on Sept. 11, 2001.
Many data arising in reliability engineering can be modeled by a lognormal distribution.
The problem of fitting a helix to data arises in analysis of protein structure, in nuclear physics, and in engineering.
The problem of fitting a nice curve or surface to scattered, possibly noisy, data arises in many applications in science and engineering.
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Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry.
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