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There has been no attempt to obtain a continuous summary measure of disability from the checklist of the International Classification of Functioning, Disability and Health ICFF).
We construct an algorithm, PopKLD, which is based on information criterion model selection (Burnham and Anderson, 2002; Claeskens and Hjort, 2008), is intended to reduce and cope with health care process biases and to produce an intuitively understandable continuous summary.
It yields one continuous summary score each for subjective physical and mental health.
Conversely, in Model II a continuous summary score ranging from 0 to 28 was used.
It produces continuous summary scores for general physical health and general mental health.
MOS-HIV item scores were converted into continuous summary scores for mental and physical health (0 100) [ 23].
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Moreover, we develop the PopKLD-CAT algorithm that transforms the continuous PopKLD summary into a categorical summary useful for applications that require categorical data such as topic modeling.
For continuous data, summary estimates per group (means, changes in means) with measures of variability (standard deviation [SD], 95% confidence interval [CI]) as available were extracted.
For continuous variables summary statistics were computed.
For continuous variables, summary statistics included sample size, mean, SD, median, and range (minimum, maximum).
Histopathology reports were available for every case and included macroscopic and microscopic tumor evaluations, a continuous text summary, and the TNM classification.
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