By Paul Stewart Pittenger
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The steelmaking and its clients have benefited drastically from the numerous major technological advances of the final thirty years. As their shoppers develop into ever extra caliber unsleeping, notwithstanding, steelmakers needs to proceed their efforts to reduce destructive impurities, reduce in addition to adjust damaging nonmetallic inclusions and accomplish the optimal casting temperature, content material of alloying components, and homogeneity.
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By lumping or pooling individual studies when appropriate, we have the option of carrying out joint (combined) analysis of the entire pooled data set or meta-analysis of the basic results from individual studies. Since pooled data would likely increase the heterogene-, ity, we also have the opportunity to subdivide the pooled data into relatively more homogeneous subgroups, each of which might be large enough to permit analysis of the subgroups separately. Subgrouping may be based on tree linkage, clustering, context dependency, or other alogrithms that utilize covariate information for splitting.
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Am. J. Hum. Genet. 54:1092-1103. Goldgar, D. (1990). Multipoint analysis of human quantitative genetic variation. Am. J. Hum. Genet. 47~957-967. Goldin, L. , and Chase, G. A. (1999). Comparison of two linkage inference procedures for genes related to the P300 component of the event related potential. Genet. l7 Suppl. l:S163-167. , and Rao, D. C. (1997). A linkage strategy for detection of human quantitative trait loci I!. Optimization of study designs based on extreme sibpairs and generalized relative risk ratios.