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If the original report did not include an appropriate analysis, data were reanalyzed by using segmented time series regression.
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In these cases, the region in question was segmented by interpolating between the two adjacent sections, or by using segmented regions from the previous section.
It also shows that by using segmented auto co-variance method, even by using very low values for K P, we can achieve to high prediction accuracy since it is able to explore adequate local sequence order information (also emphasis on the impact of segmented distribution method).
An interrupted time series using segmented linear regression was applied to estimate separately the effects of the CCT programme and supply package on service uptake.
Time trends in consumption before and after the introduction of co-payment policies and reimbursement criteria were examined using segmented regression analysis of interrupted time-series, adjusting for seasonal components.
19 20 22–25 Most studies using segmented analysis were analysed with time-aggregated data without considering the personal level.
Interrupted time-series analysis using segmented regression modelling.
Non-linearities in trends of varying time periods were characterised using segmented annual percent change from segmented regression (Clegg et al, 2009) or join-point regression analysis (Kim et al, 2000).
Trends with time since fire were analyzed using segmented piecewise linear regression.
Extraction using segmented flow is dependent on mass transfer by molecular diffusion and its rate is enhanced by the internal circulation flow generated inside slugs.
Generalized estimating equations using segmented regression and a Poisson distribution accounting for clustering by facility were used to evaluate the impact of the ASP intervention on rates of antibiotic prescribing and antibiotic resistance.
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