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The Phillips–Hansen method estimates the parameters of a single cointegration relation by fully modified regression.
A natural logarithmic modified regression equation was developed from multiple regression analysis for response surface modelling.
The upscaling framework contains flux-footprint climatology modeling, modified regression tree (MRT) analysis and image fusion.
To address this, we applied the Phillips Hansen fully modified regression to estimate the parameter of the long-run relation.
In order to do so, at the first stage, the robust regression or modified regression model should be computed.
The accuracy of the modified regression model is ±5% and ±15% for BP and PL fluids, respectively.
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We also compare our result to a recently published work [ 10] where they modify regression methods to incorporate the prior knowledge.
On the other hand, RRs estimated in Cox regressions and modified logistic regression were similar or virtually identical to those estimated by log-binomial regression.
If the dependent variable can be adequately dichotomised, we will use Poisson regression with robust error variance (modified Poisson regression) to estimate risk ratios (relative risks).
For the rarer event (incidence of 5%), RRs estimated by log-binomial were similar to those calculated both by the Cox regressions and the proposed method (modified logistic regression) (Table 2).
Forty-five susceptible subjects underwent HD throughout the 33 weeks considered, among them 13 became incident cases with and overall crude rate of 1.07 events per 100 dialysis-week/person. First column risk factor analysed, second column descriptive analysis, third column univariate modified Poisson regression analysis of risk, fourth column multivariate modified Poisson regression.
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