R2MLwiN (version 0.1-7)

bang1: Sub-sample from the 1989 Bangladesh Fertility Survey

Description

A subset of data from the 1989 Bangladesh Fertility Survey, consisting of 1934 women across 60 districts.

source

Amin, S., Diamond, I., Steele, F. (1997) Contraception and religiosity in Bangladesh. In: G. W. Jones, J. C. Caldwell, R. M. Douglas, R. M. D'Souza (eds) The Continuing Demographic Transition, 268--289. Oxford: Oxford University Press. Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling. Huq, N. M., Cleland, J. (1990) Bangladesh fertility survey, 1989. Dhaka: National Institute of Population Research and Training (NIPORT). Rasbash, J., Browne, W. J., Healy, M., Cameron, B., Charlton, C. M. J. (2013) MLwiN v2.27. University of Bristol: Centre for Multilevel Modelling.

Details

The bang1 dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2013), and is a subset of data from the 1989 Bangladesh Fertility Survey (Huq and Cleland, 1990) used by Browne (2012) as an example when fitting logistic models for binary and binomial responses. The full sample was analysed in Amin et al. (1997).

See Also

See mlmRev package for an alternative format of the same dataset, with fewer variables.

Examples

# NB: change path as appropriate
MLwiN <- "C:/Program Files (x86)/MLwiN v2.27/"
data(bang1)
bang1$use <- as.numeric(bang1$use) - 1
bang1$urban <- as.numeric(bang1$urban) - 1

# Fit 2-level random coefficient logistic model, using MCMC
# cons (constant of ones) as denominator specifies
# Bernoulli distribution (0/1 response)
F1 = "logit(use, cons) ~ (0|cons + age + lc[nokids] + urban) + (2|cons + urban)"
ID = c("district", "woman")
binomialMCMC <- runMLwiN(Formula = F1, levID = ID, D = "Binomial", 
indata = bang1, estoptions = list(EstM = 1), MLwiNPath = MLwiN)