SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Olsson Lillemor Lundin)
 

Sökning: WFRF:(Olsson Lillemor Lundin) > (2005-2009) > Comparison of three...

Comparison of three statistical methods for analysis of fall predictors in people with dementia : negative binomial regression (NBR), regression tree (RT), and partial least squares regression (PLSR)

Eriksson, Staffan (författare)
Umeå universitet,Sjukgymnastik,Geriatrik
Lundquist, Anders (författare)
Umeå universitet,Institutionen för matematik och matematisk statistik
Gustafson, Yngve (författare)
Umeå universitet,Geriatrik
visa fler...
Lundin-Olsson, Lillemor (författare)
Umeå universitet,Sjukgymnastik
visa färre...
 (creator_code:org_t)
Elsevier BV, 2009
2009
Engelska.
Ingår i: Archives of gerontology and geriatrics (Print). - : Elsevier BV. - 0167-4943 .- 1872-6976. ; 49:3, s. 383-389
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Searching for background factors associated with falls in people with dementia is difficult because the population is heterogeneous. The aim of this study was to compare the efficacies of three statistical methods for analysis of fall predictors in people with dementia. NBR, RT and PLSR analyses were compared. Data used for the comparison were from a prospective cohort study of 192 patients at a psychogeriatric ward, specializing in patients with cognitive impairment and related behavioral and psychological symptoms. Seventy-eight of these patients fell a total of 238 times. PLSR and RT analyses are directed at finding patterns among predictor variables related to outcome, whereas an NBR model is directed at finding predictor variables that, independent of other variables, are related to the outcome. The NBR analysis explained an additional 10–15% variation compared with the PLSR and RT analyses. The results of PLSR and RT show a similar plausible pattern of predictor variables. However, none of these techniques appears to be sufficient in itself. In order to gain patterns of explanatory variables, RT would be a good complement to NBR for analysis of fall predictors.

Nyckelord

partial least squares regression
regression tree
negative binomial regression
accidental falls
fall predictors
dementia and falls

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy