RT Journal Article
T1 Inferences about a linear combination of proportions
A1 Martín Andrés, A.
A1 Álvarez Hernández, M.
A1 Herranz Tejedor, Inmaculada
AB Statistical methods for carrying out asymptotic inferences (tests or confidence intervals) relative to one or two independent binomial proportions are very frequent. However, inferences about a linear combination of K independent proportions L = Σβipi (in which the first two are special cases) have had very little attention paid to them (focused exclusively on the classic Wald method). In this article the authors approach the problem from the more efficient viewpoint of the score method, which can be solved using a free programme, which is available from the webpage quoted in the article. In addition the article offers approximate formulas that are easy to calculate, gives a general proof of Agresti’s heuristic method (consisting of adding a certain number of successes and failures to the original results before applying Wald’s method) and, finally, it proves that the score method (which verifies the desirable properties of spatial and parametric convexity) is the best option in comparison with other methods.
PB Sage
SN 0962-2802
YR 2011
FD 2011-08
LK https://hdl.handle.net/20.500.14352/44650
UL https://hdl.handle.net/20.500.14352/44650
LA eng
NO ERRATUM: A correction to the article "Inferences about a linear combination of proportions" that was published in a previous issue of the journal is presented (Statistical Methods in Medical Research. Aug2012, Vol. 21 Issue 4, p427-428. 2p. 1 Chart.)
DS Docta Complutense
RD 23 abr 2025