caa a22 4500 445330244 CHVBK 20180317142735.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s00285-010-0329-9 doi (NATIONALLICENCE)springer-10.1007/s00285-010-0329-9 RoyChoudhury Arindam Department of Biostatistics, Columbia University, 10032, New York, NY, USA aut Composite likelihood-based inferences on genetic data from dependent loci [Elektronische Daten] [Arindam RoyChoudhury] The structure of dependence between neighboring genetic loci is intractable under some models that treat each locus as a single data-point. Composite likelihood-based methods present a simple approach under such models by treating the data as if they are independent. A maximum composite likelihood estimator (MCLE) is not easy to find numerically, as in most cases we do not have a way of knowing if a maximum is global. We study the local maxima of the composite likelihood (ECLE, the efficient composite likelihood estimators), which is straightforward to compute. We establish desirable properties of the ECLE and provide an estimator of the variance of MCLE and ECLE. We also modify two proper likelihood-based tests to be used with composite likelihood. We modify our methods to make them applicable to datasets where some loci are excluded. Springer-Verlag, 2010 Ascertainment nationallicence Composite likelihood nationallicence Dependent data nationallicence Linked loci nationallicence Score test nationallicence SNP nationallicence Wald test nationallicence Journal of Mathematical Biology Springer-Verlag 62/1(2011-01-01), 65-80 0303-6812 62:1<65 2011 62 285 https://doi.org/10.1007/s00285-010-0329-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00285-010-0329-9 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- RoyChoudhury Arindam Department of Biostatistics, Columbia University, 10032, New York, NY, USA aut NATIONALLICENCE 773 0- Journal of Mathematical Biology Springer-Verlag 62/1(2011-01-01), 65-80 0303-6812 62:1<65 2011 62 285 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer