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There was evidence of modest within-subject correlation (rho = 0.12 in an intercept-only model for observations 1 year apart).
In order to capture the correlation between recurrent events within the same individual, a common random effect is added to the regression model for observations from the same individual.
We have presented a new, general sampling model for observations of any type or combination of binary-valued markers in the context of analyzing the cell cycle progression of dividing cell populations.
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This technique builds on previous capsular bag models, providing a more physiological model for observation of PCO in vitro.
State-space models directly address these issues by coupling a model for observation error with a mechanistic model of animal movement and solving the models together [53].
In the case of a multinomial model, this predictive distribution is simply obtained by computing the probabilities for all C categories of the response according to the estimated model, i.e., we obtain the predictive distribution π ^ i = (π ^ i 1, π ^ i 2, …, π ^ i C ), derived from the estimated model for observation i, and c i is the realized value for this observation in the data set.
The overall perspective is data-driven: catalytic priors have a pseudo-data interpretation, and the building blocks are alternative plausible models for observations, yielding behavior similar to hierarchical models but with a conceptual shift away from distributional assumptions on parameters.
For the contact time model, residuals for observations at the hand hygiene opportunity level were examined graphically using scatter plots, histograms and normal quantile plots to assess normality, and to identify potential outlier observations and variables with unequal variance.
The computer algorithm described here operates on a set of experimental observations of the system and constructs an optimum fuzzy model for these observations.
The phenology records at Mohonk House are, in many ways, a model for such observations.
We study the association between daily data on temperature and mortality using a discrete-time event history logistic model for correlated observations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com