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We initially investigated the hospital trajectories of these proportions graphically by using panel plots.
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Regression assumptions were tested by using residual plots and predicted-versus-observed plots.
Nonlinear relationships were examined by using scatter plots.
Publication bias was determined by using funnel plots.
This study used panel data provided by the Panel Study of Income Dynamics.
Normality was estimated by using normal probability plots.
Serogrouping was performed by using a panel of rabbit antisera.
All survival analyses were performed by using Sigma Plot [ 15].
Monotonicity plots are available in R by using the function plot and also in MSPWin software.
As an alternative, Jostins et al. (2011) suggested balancing accuracy and computation by using reference panels that "approximately cluster" with the study individuals on a plot of principal components (PC) that capture genetic ancestry.
Normality was determined graphically by using a Q-Q plot.
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