Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018

- Alhuzali, T., Beh, E. J., Stojanovski, E.

Multi-way correspondence analysis approach to examine Nobel Prize Data from 1901 to 2018

- Alhuzali, T, Beh, E. J., Stojanovski, E

Correspondence analysis approach to examine the Nobel Prize

- Alhuzali, T., Stojanovski, E., Beh, E. J.

The prediction index of aggregate data

- Lombardo, R., Beh, E. J.

Can we use the approaches of ecological inference to learn about the potential for dependence bias in dual-system estimation? An application to cancer registration data

- Brown, J. J., Beh, E. J., Hudson, I. L.

On the quantification of statistical significance of the extent of association projected on the margins of 2x2 tables when only the aggregate data is available: a pseudo p-value approach applied to leukaemia relapse data

- Cheema, S. A., Beh, E. J., Hudson, I. L.

Linking ordinal log-linear models with correspondence analysis: an application to estimating drug-likeness in the drug discovery process

- Zafar, S., Cheema, S. A., Beh, E. J., Hudson, I. L., Hudson, S. A., Abell, A. D.

On issues concerning the assessment of information contained in aggregate data using the F-statistics

- Cheema, S. A., Beh, E. J., Hudson, I. L.

The aggregate association index and its links with common measurements of association in a 2x2 table: an analysis of early NZ gendered voting data

- Tran, D., Beh, E. J., Hudson, I. L., Moore, L. M.

Hirayama, passive smoking and lung cancer: 30 years on and the numbers still don't lie

- Smith, D. R., Beh, E. J.

Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials

- Lombardo, R., Beh, E. J., D'Ambra, L.