Moreno Aguado, VíctorMartín, IsaacTorres, FerranHoras, ManuelRíos, JoséGonzález, Juan R.2018-04-132018-04-1320020210-8054https://hdl.handle.net/2445/121530Inverse sampling and formal sequential designs may prove useful in reducing the sample size in studies where a small population proportion p is compared with a hypothesized reference proportion p0. These methods are applied to the design of a cytogenetic study about chromosomal abnormalities in men with a daughter affected by Turner's syndrome. First it is shown how the calculated sample size for a classical design depends on the parameterization used. Later this sample size is compared with the required sample size in an inverse sampling design and a triangular sequential design using four different parameterizations (absolute differences, log-odds ratio, angular transform and Sprott's transform). The expected savings in sample size, when the alternative hypothesis is true, are 20% of the fixed sample size for the inverse sampling design and 40% for the triangular sequential design.13 p.application/pdfengcc-by-nc-nd (c) Moreno Aguado, Víctor et al., 2002http://creativecommons.org/licenses/by-nc-nd/3.0/esAnàlisi seqüencialMostreig (Estadística)Síndrome de TurnerSuccessions (Matemàtica)Sequential analysisSampling (Statistics)Turner's syndromeSequences (Mathematics)Inverse sampling and triangular sequential designs to compare a small proportion with a reference valueinfo:eu-repo/semantics/article5751542018-04-13info:eu-repo/semantics/openAccess