Score and profile likelihood confidence intervals for contingency table parameters

Statistics in Medicine
Joseph B Lang

Abstract

A straightforward approach to computing score and profile likelihood confidence intervals for contingency table parameters is described. The computational approach herein avoids two main limitations of existing methods: (1) Compared with existing methods, this paper's approach is applicable to a much broader class of parameters. (2) Unlike existing methods, this paper's approach is not case-specific and, hence, lends itself to a general, yet very simple, computational algorithm. This paper describes the 'sliding quadratic' computational algorithm and illustrates its use on examples that have not been previously considered in the literature. A small-scale simulation study highlights the advantage of using score and profile likelihood intervals rather than Wald intervals.

References

Apr 1, 1985·Statistics in Medicine·O Miettinen, M Nurminen
Oct 6, 1997·Statistics in Medicine·W L May, W D Johnson
Dec 24, 2002·Biometrics·John V TsimikasHammou El Barmi
Aug 27, 2003·Statistics in Medicine·Robert G Newcombe

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Citations

May 15, 2013·The British Journal of Mathematical and Statistical Psychology·Renske E KuijpersMarcel A Croon
Mar 13, 2010·Statistical Methods in Medical Research·A Martín AndrésI Herranz Tejedor
Jul 1, 2016·Applied Psychological Measurement·Renske E KuijpersKlaas Sijtsma

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