- School of Mathematics and Statistics - Research Publications
School of Mathematics and Statistics - Research Publications
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ItemCERVICAL CYTOLOGY REPORTED AS NEGATIVE AND RISK OF ADENOCARCINOMA OF THE CERVIX - NO STRONG EVIDENCE OF BENEFITMITCHELL, H ; MEDLEY, G ; GORDON, I ; GILES, G (NATURE PUBLISHING GROUP, 1995-04)The relationship between negative cervical cytology reports and risk of adenocarcinoma of the cervix was evaluated in a case-control study of 113 cases and 452 controls. All cases and controls had received at least two negative cytology reports. There was no significant difference between the cases and controls in the number of negative cytology reports or in history of cervical abnormality; while a test for trend in the time since last negative cytology report was significant (P < 0.001), the estimated benefit was very modest. Although the estimates of relative protection were higher in women aged less than 35 years than in women aged 35-69 years, this difference was not statistically significant. These results suggest that cervical screening as practised in the 1970s and 1980s was much less effective in preventing adenocarcinoma than squamous carcinoma of the cervix.
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ItemEFFICIENT POOLING DESIGNS FOR LIBRARY SCREENINGBRUNO, WJ ; KNILL, E ; BALDING, DJ ; BRUCE, DC ; DOGGETT, NA ; SAWHILL, WW ; STALLINGS, RL ; WHITTAKER, CC ; TORNEY, DC (ACADEMIC PRESS INC ELSEVIER SCIENCE, 1995-03-01)We describe efficient methods for screening clone libraries, based on pooling schemes that we call "random k-sets designs." In these designs, the pools in which any clone occurs are equally likely to be any possible selection of k from the v pools. The values of k and v can be chosen to optimize desirable properties. Random k-sets designs have substantial advantages over alternative pooling schemes: they are efficient, flexible, and easy to specify, require fewer pools, and have error-correcting and error-detecting capabilities. In addition, screening can often be achieved in only one pass, thus facilitating automation. For design comparison, we assume a binomial distribution for the number of "positive" clones, with parameters n, the number of clones, and c, the coverage. We propose the expected number of resolved positive clones--clones that are definitely positive based upon the pool assays--as a criterion for the efficiency of a pooling design. We determine the value of k that is optimal, with respect to this criterion, as a function of v, n, and c. We also describe superior k-sets designs called k-sets packing designs. As an illustration, we discuss a robotically implemented design for a 2.5-fold-coverage, human chromosome 16 YAC library of n = 1298 clones. We also estimate the probability that each clone is positive, given the pool-assay data and a model for experimental errors.
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ItemOptimal labelling of unit interval graphsJinjiang, Y ; Sanming, Z (Springer Science and Business Media LLC, 1995-09)
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ItemUnifying approaches for constructing labeled graphs from known onesZHOU, S (MD Publications PVT LTD, 1995)
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ItemMATROID TREE GRAPHS AND INTERPOLATION THEOREMSZHOU, SM (ELSEVIER SCIENCE BV, 1995-01-20)