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Nursing Case Study

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Inclusion of the 674 patients who completed a HCCA into these data, gives a slightly different perspective into the variables. Appendix~\ref{AppendixB} further shows the R output of the Cox-PH model in the data set for patients with a CA and HCCA. After using the stepAIC function (as discussed in Chapter~\ref{Chapter3}) and manually removing variables with coefficients between -1 and 1, only 10 variables are chosen, namely; Meds to be initiated, Expected living arrangement, self-rated health, Urgency for comprehensive, face-to-face assessment, Urgency - Nursing, Urgency - Physiotherapy, Urgency - Occupational therapy, Service urgency and Client Group\footnote{These variables are coded iA32ba, iA33, iA34, iJ7, iNN4, iNN5a, iNN5c, iNN5d', …show more content…

While both output from the Cox-PH model and output from the AFT model suggests that age at assessment and expected residential living status, say, are important variables for predicting mortality, we will see in the next section that modelling through the classification and regression trees identifies a slightly different set of results. \subsection{ Results from regression and classification tree model (n=1991).} Results in this section are all based on the data set for patients who completed a CA and those who completed HCCA assessments.\newline The output in Figure~\ref{MiddSurvTree} suggests that ADL performance - Dressing lower body - admission is in fact the single most important variable for partitioning patients with a contact assessment and those with both a contact and home care assessment. It also prescribes survival times for each partitioning. As explained in chapter~\ref{Chapter3}, in linear regression a global model is constructed for the entire data space, while partitioning trees partition the data space recursively exposing the effect of different interactions in the data space.The graph highlights significant two-way and three- way interactions between variables. For instance we can see that patients who did not have problems with activities of daily living performance (level 0 for iG2n1) have higher survival times than those who did (level 1). The

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