Download Handbook of Statistics 8: Statistical Methods in Biological by C.R. Rao, R. Chakraborty PDF

By C.R. Rao, R. Chakraborty

Hardbound. the most goal of this quantity is the dissemination of statistical methodologies within the region of organic and clinical sciences. The chapters are written by way of experts with significant adventure within the software of statistical suggestions for investigating organic and clinical issues.

Biological in addition to statistical readers will reap the benefits of this exposition.

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Am. J. Hum. Genet. 37, 700-718. Lalouel, J. , Rao, D. , Morton, N. E. and Elston, R. C. (1983). A unified model for complex segregation analysis. Am. J. Hum. Genet. 35, 816-826. , Westlake, J. and Spence, M. A. (1976). Extensions to pedigree analysis II. Recurrence risk calculations under the polygenic threshold model. Hum. Hered. 26, 337-348. MacLean, C. , Morton, N. E. and Lew, R. (1975). Analysis of family resemblance. IV. Operational characteristics of segregation analysis. Am. J. Hum. Genet.

Genet. 31, 161-179. Ott, J. (1985). Analysis of human genetic linkage, The Johns Hopkins University Press, Baltimore. Pearson, K. (1903). On the influence of natural selection on the variability and correlation of organs. Philos. Trans. R. Soc. London Set. A 200, 1-66. , James, J. W. and Morris, C. A. (1972). The use of multiple thresholds in determining the model of transmission of semicontinuous traits. Ann, Hum. Genet. 36, 163-184. , Cloninger, C. R. and Wette, R. (1979). An approximation to the multivariate normal integral: its application to multifactorial qualitative traits.

32 W. J. Ewens 2. 1) i=1 where by D i we mean the data in family i. 3) i=1 where A~ is the event that family i is ascertained. 3) depend not only on the genetics, but also on the nature of the sampling scheme, so that any misspecification of the latter will lead to biased estimates of genetic parameters. We use a simple example considered often in the literature (Fisher, 1934; Bailey, 1951a; Elandt-Johnson, 1971) to illustrate the biases that can arise through misspecification of the ascertainment procedure.

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