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Multilevel modeling was used to examine the association between PTSD symptom severity and low frequency (LF) and high frequency (HF) HRV.
Multilevel modeling was used to assess the associations of momentary NA with HR and low- and high-frequency HRV during the 5-minute intervals after each EMA reading.
Multilevel modeling was the primary analytic strategy used to generate two models: 1) comparison of the DSR in counties with vs. without philanthropic funding and 2) relationship between years since receipt of a philanthropic grant and DSR.
Multilevel modeling was used to assess the associations of momentary NA with HR and low- (LF) and high-frequency (HF) HRV during the 5-minute intervals following each EMA reading.
Multilevel modeling was used to analyze associations between symptoms and functional outcomes and between medication use and symptom intensity.Children reported moments of pain in 66% of e-diary entries.
Multilevel modeling was used for analyses.
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Multilevel modeling is appropriate for analyzing clustered and longitudinal data.
The rationales for using a multilevel modeling were the following.
Results of multilevel modeling are shown in Table 3.
Mixed models and multilevel modeling are suitable for analyzing CRP longitudinal data.
Descriptive analysis and multilevel modeling were performed with SAS version 9.3.
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