Using a correlated probit model approximation to estimate the variance for binary matched pairs

A - Papers appearing in refereed journals

Waddington, D. and Thompson, R. 2004. Using a correlated probit model approximation to estimate the variance for binary matched pairs. Statistics and Computing. 14 (2), pp. 83-90.

AuthorsWaddington, D. and Thompson, R.
Abstract

A correlated probit model approximation for conditional probabilities (Mendell and Elston 1974) is used to estimate the variance for binary matched pairs data by maximum likelihood. Using asymptotic data, the bias of the estimates is shown to be small for a wide range of intra-class correlations and incidences. This approximation is also compared with other recently published, or implemented, improved approximations. For the small sample examples presented, it shows a substantial advantage over other approximations. The method is extended to allow covariates for each observation, and fitting by iteratively reweighted least squares.

Keywordsasymptotic bias; binary data; correlated probit model approximation; matched pairs; maximum likelihood
Year of Publication2004
JournalStatistics and Computing
Journal citation14 (2), pp. 83-90
Digital Object Identifier (DOI)doi:10.1023/B:STCO.0000021406.25797.98
Open accessPublished as non-open access
Funder project or code445
513
Statistical and stochastic modelling of complex biological processes with emphasis on spatial and temporal processes
Output statusPublished
Publication dates
Print01 Apr 2004
Copyright licensePublisher copyright
PublisherSpringer
ISSN0960-3174

Permalink - https://repository.rothamsted.ac.uk/item/89317/using-a-correlated-probit-model-approximation-to-estimate-the-variance-for-binary-matched-pairs

Restricted files

Publisher's version

Under embargo indefinitely

8 total views
1 total downloads
0 views this month
0 downloads this month