Makoto Tokunaga, MD, PhD, Hiroaki Yamanaga, MD, PhD
Jpn J Compr Rehabil Sci 11: 65-72, 2020
Objective: This study aims to compare the accuracy
of four methods of multiple regression analysis in
predicting the motor functional independence measure
(mFIM) at discharge.
Methods: The subjects of this study were 1,064 stroke
patients who had been hospitalized in a convalescent
rehabilitation hospital. Standard multiple regression
analysis (S prediction) with mFIM at discharge as the
objective variable, multiple regression analysis with
reciprocal number of mFIM at admission as one of the
explanatory variables (R prediction), prediction of the
effectiveness of mFIM by multiple regression analysis,
the conversion to mFIM at discharge (E prediction),
and the creation of two multiple regression prediction
formulas (S2 prediction) were performed. The absolute
values of residuals (actual value minus predicted
value) of mFIM at discharge were compared for the
four methods.
Results: The absolute value of the residuals was
significantly smaller in the R prediction, E prediction,
and S2 prediction than that in the S prediction. In
addition, the absolute value was found to be
significantly smaller in the E prediction and S2
prediction than that in the R prediction.
Conclusion: In multiple regression analysis, the use
of E prediction or S2 prediction is recommended
because of their high prediction accuracies.
Key words: multiple regression analysis, prediction accuracy, reciprocal number, FIM effectiveness, multiple prediction formulas