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At least 613 records · Page 34Linked to original sources
PubMed1984

Statistical modeling of clinical intake decisions.

Modeled the intake decisions of four clinicians and a group of clinicians at a community mental health center by principal components-discriminant function analysis. The models of two clinicians and the group-based models withstood replication by the jackknife technique of discriminant analysis. Results showed that clinicians' written notes can be used to predict their decisions. We learned, for example, that the cues that are most important in arriving at intake decisions were therapy history, interview site, level of functioning, diagnosis, and behavioral disturbance.

Adult↗
PubMed1983

A general statistical model for clone--tissue studies, using X-chromosome inactivation data.

It is shown that certain simply defined probabilities, which involve the joint classification of two random cells by tissue and postinactivation clone, play a key role in the analysis of X-chromosome inactivation data and can be used to define tissue-specific and composite indices of 'incoherence', or lack of association, between clones and tissues. The experimental estimation of these probabilities is developed, with numerical illustration, for a general model of assay errors that embraces a spectrum of different assay techniques. Three estimation techniques are considered: the first, unconstrained by the requirements of any specific model for clone--tissue association; the second, constrained by a condition of dominated off-diagonal equality (DODE) that delineates a general class of models of the type used by Nesbitt (1971, Developmental Biology 26, 252-263); the third, additionally constrained by a condition of on- and off-diagonal equality (OODE) that holds for an 'equisampling' specialization of the Nesbitt model. The effects of natural relaxations of the assumptions implicit in the latter type of model are analysed within the framework constructed here.

Clone Cells↗
PubMed1994

[Statistical modelling of lung cancer mortality in the Czech Republic 1960-1989].

The author's aim is to analyze in more detail the temporal mortality trends from lung cancer in the Czech Republic in the age group from 35-69 years during 1960-1989, separately for men and women. Poisson's log-linear regression model revealed that the mortality in both sexes depended significantly on three time factors: age, year of birth and historical period. The dependence of mortality on the above factors was analyzed by Osmond-Gardner's method. The mortality increased in both sexes with age. The risk of death in male generations born between the beginning of the 19th century and the First World War declined, however, in generations born after 1915 it increased again with consecutive years of birth. In women the risk of death increased with the year of birth. The impact of five-year periods on mortality increased slowly, however, in women only from the first half of the seventies.

Adult↗