Alzheimer: Symptoms of Patients Suffering from Alzheimer's Syndrome

In BayesLCA: Bayesian Latent Class Analysis

Description

Presence or absence of 6 symptoms of Alzheimer's disease (AD) in 240 patients diagnosed with early onset AD conducted in the Mercer Institute in St. James's Hospital, Dublin.

Usage

data(Alzheimer)

Format

A binary matrix, consisting of 240 rows and 6 columns, with each row denoting an individual and each column denoting the presence/absence of one of the 6 symptoms: Hallucination, Activity, Aggression, Agitation, Diurnal and Affective. A 1 denotes the presence of a symptom, a 0 the absence.

Source

Moran M, Walsh C, Lynch A, Coen RF, Coakley D, Lawlor BA (2004) “Syndromes of behavioural and psychological symptoms in mild Alzheimer's disease.” International Journal of Geriatric Psychiatry, 19(4), 359–364. ISSN 1099-1166. doi:10.1002/gps.1091. URL http://dx.doi.org/10.1002/gps.1091.

Walsh C (2006) “Latent Class Analysis Identification of Syndromes in Alzheimer's Disease: A Bayesian Approach.” metodoloyski zvezki - Advances in Methodology and Statistics, 3(1), pp.147 – 162. URL mrvar.fdv.uni-lj.si/pub/mz/mz3.1/walsh.pdf

Examples

data(Alzheimer)
fit2 <- blca.em(Alzheimer, 2)
summary(fit2)

fit3<- blca.em(Alzheimer, 3, restarts=20)
summary(fit3)

BayesLCA documentation built on July 2, 2020, 12:11 a.m.