ID 51305
file
k8532_1.pdf 148 KB
k8532_2.pdf 492 KB
k8532_3.pdf 472 KB
title alternative
ベイズ統計を用いたマルチモーダル非薬物的介入の効果的な戦略と施設入所認知障害高齢者における認知機能の特徴との関連の検討 : 横断研究
creator
Yorozuya, Kyosuke
language
eng
nii type
Thesis or Dissertation
HU type
Doctoral Theses
DCMI type
text
format
application/pdf
text version
ETD
rights
Copyright (c) 2020 the Author(s). Published by Wolters Kluwer Health, Inc.This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction inany medium, provided the original work is properly cited.How to cite this article: Yorozuya K, Yamane S, Nobuhisa M,
relation
Yorozuya, Kyosuke MS; Yamane, Shingo PhD; Nobuhisa, Misako OT; Owaki, Hiroko OT; Suzuki, Takeaki OT; Okahara, Hikaru OT; Iwamori, Wataru OT; Hanaoka, Hideaki PhD, Bayesian analysis of the association between effective strategies of multimodal nonpharmacological intervention and characteristics of cognitive function in nursing home residents with cognitive impairment, Medicine: September 11, 2020, Volume 99, Issue 37, p e22154 doi: 10.1097/MD.0000000000022154
relation url
grantid
甲第8532号
degreeGrantor
広島大学(Hiroshima University)
degreename Ja
博士(保健学)
degreename En
Doctor of Philosophy in Health Science
degreelevel
doctoral
date of granted
2021-03-23
department
Graduate School of Biomedical & Health Sciences