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Table 5.20 Trend Lines Model
Model formula Period Techniques (ln(Duration)+intercept)
Number of modeled observations 346
Number of filtered observations 23
Model degrees of freedom 30
Residual degrees of freedom (DF) 316
SSE (sum squared error) 34.9709
MSE (mean squared error) 0.110667
R-Squared 0.642267
Standard error 0.332667
P-Value (significance) <.0001
A linear trend model is computed for natural log of sum of intensity given natural log of sum of duration. The model may be significant
at P .05. The factor period may be significant at P .05.
Table 5.21 Analysis of Variance
F
Field DF SSE MSE P-Value
Period 24 34.984807 1.4577 13.1719 <.0001
Techniques 20 6.9901116 0.349506 3.15816 <.0001
Table 5.22 Individual Trend Lines
Panes Line Coefficients
Row Column P-Value DF Term Value StdErr t-Value P-Value
EMGa BaseLine .0275744 25 ln(Duration) 0.282094 0.120558 2.33989 .0275744
intercept 2.64085 0.322488 8.18899 <.0001
EMGa 1month .3138 25 ln(Duration) 0.0525565 0.0511257 1.02799 .3138
intercept 1.60774 0.121359 13.2477 <.0001
EMGa 3months .993376 21 ln(Duration) 0.0012189 0.145086 0.008401 .993376
intercept 1.33495 0.307708 4.33836 .0002893
EMGa 6months .985645 21 ln(Duration) 0.0031754 0.174401 0.0182077 .985645
intercept 1.13441 0.29957 3.78679 .0010804
EMGa 12months .878383 17 ln(Duration) 0.0328937 0.211753 0.15534 .878383
intercept 0.808513 0.306825 2.63509 .0173702
EMGav BaseLine .0730867 25 ln(Duration) 0.130076 0.0695203 1.87105 .0730867
intercept 1.56326 0.174409 8.96318 <.0001
EMGav 1month .0081169 21 ln(Duration) 0.414192 0.141668 2.92369 .0081169
intercept 0.687232 0.327455 2.09871 .0481139
EMGav 3months .0473046 21 ln(Duration) 0.36091 0.171282 2.10711 .0473046
intercept 0.593559 0.352508 1.68382 .107025
EMGav 6months .340869 19 ln(Duration) 0.366373 0.375016 0.976952 .340869
intercept 0.0115886 0.635114 0.0182464 .985633
EMGav 12months .605505 14 ln(Duration) 0.101835 0.192727 0.528389 .605505
intercept 0.694253 0.331293 2.09559 .0547784