A cause-and-effect-based mathematical curvilinear model that predicts the effects of self-monitoring of blood glucose frequency on hemoglobin A1c and is suitable for statistical correlations.
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A cause-and-effect-based mathematical curvilinear model that predicts the effects of self-monitoring of blood glucose frequency on hemoglobin A1c and is suitable for statistical correlations.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A cause-and-effect-based mathe ...... for statistical correlations.
@en
A cause-and-effect-based mathe ...... for statistical correlations.
@nl
type
label
A cause-and-effect-based mathe ...... for statistical correlations.
@en
A cause-and-effect-based mathe ...... for statistical correlations.
@nl
prefLabel
A cause-and-effect-based mathe ...... for statistical correlations.
@en
A cause-and-effect-based mathe ...... for statistical correlations.
@nl
P2093
P2860
P1476
A cause-and-effect-based mathe ...... for statistical correlations.
@en
P2093
Bruce W Bode
Harry R Hebblewhite
Paul C Davidson
R Dennis Steed
P2860
P304
P356
10.1177/193229680700100608
P577
2007-11-01T00:00:00Z