stroke: Stroke types over time

In multiCA: Multinomial Cochran-Armitage Trend Test

Description

Nakajima et al. (2014) collected information on stroke patients over a 9-year period. For each patient, the type of stroke was classified into one of 5 categories by etiology.

Usage

data("stroke")

Format

A data frame with 45 observations on the following 3 variables.

Type

a factor with levels Small vessel occlusion, Large artery atherosclerosis, Cardioembolism, Other determined aetiology, and Undetermined aetiology giving the etiology of the stroke

Year

a numeric vector with the year of the observation

Freq

a numeric vector with the number of patients with a stroke of the given etiology that year

Source

Nakajima, M., Y. Inatomi, T. Yonehara, Y. Hashimoto, T. Hirano, and Y. Ando (2014). Temporal trends in oral intake ability 3 months after acute ischaemic stroke: analysis of a single-centre database from 2003 to 2011. J Rehabil Med 46 (3), 200–205.

Examples

data(stroke)
xtabs(Freq ~ Type + Year, data=stroke)

strk.props <- prop.table(xtabs(Freq ~ Year+Type, data=stroke), margin=1)
matplot(strk.props, type="l")

Example output

                              Year
Type                           2003 2004 2005 2006 2007 2008 2009 2010 2011
  Small vessel occlusion         53   97   77  118  104  106   98  107   94
  Large artery atherosclerosis   43   40   49   60   80   62   67   72   47
  Cardioembolism                 97   94  117   98  110  118   93   80   74
  Other determined aetiology     11    5    4    8   13    8   14   17   29
  Undetermined aetiology         45   53   63   55   65   52   72   77   67

multiCA documentation built on May 1, 2019, 10:26 p.m.