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PubMed1975

Some perspectives on the role of biostatistics and epidemiology in the prevention and control of mental disorders.

The paper reviews progress made in the past 30 years in the development of statistical and epidemiological methods in the mental health field. Applications have included determinations of need for psychiatric care and supporting personnel; interpretation of morbidity indices, and cross-national comparisons of diagnoses of mental disorders. Much remains to be done. Progress would include better measurement of incidence, duration, and prevalence of mental disorders; more precise estimates of service needs; more effective programs to prevent or reduce disability. Particularly needed are field-research units under long-term funding with the task of assessing effectiveness of mental health programs at the catchment-area level.

Classification↗
PubMed1977

[Biodevelopmental and biostatistical aspects of the concept of normal values in the 1st and 2d dentition].

In conformity with the practice in other biological sciences, it is suggested to adopt in dentition chronology the double of the range around the mean as the range of normal. The great variance especially in the second dentition agrees with the variance of other developmental characteristics and must be considered to be typical of human development. The integration of dentition with the complex of the characteristics of physical and psychical development is advocated.

Child↗
PubMedDate not supplied

Interpretation of data by the clinician.

The cardinal challenges to every practicing physician are to interpret clinical data correctly and to place them in proper perspective. Clinical investigations frequently lack the rigidly controlled conditions and the careful experimental designs usually found in preclinical animal studies, and this deficiency is partially attributable to the inherent complexities of clinical medicine. Consequently, a great deal of controversy results from conflicting interpretations, extrapolations and overextension of limited data that are often equivocal. More careful appraisal of data and increased awareness of the well-known pitfalls found in retrospective and prospective studies, in which biostatistical design and clinical relevance are often incompatible, are emphasized, and personal biases and the flagrant sensationalism expounded by the media are condemned. The clinician is cautioned to sift through the data, consider the benefit/risk ratio for each patient and then to subordinate the role of critical scientist and assume the role of physician, exercising good judgment in light of the existing evidence and the immediate problems at hand.

Adolescent↗
PubMed1978

[Highly different values for the plausibility of fatherhood and for the exclusion chance (author's transl)].

More than 1800 HLA-typed mother-child-putative father triplets were biostatistically analyzed on the basis of the Essen-Möller principle. 14 of them had W-values (= probability of paternity) of less than 50%, the lowest value being 4,4%. Using a specially designed computer program, exclusion probabilities between 68 and 96% were calculated. This demonstrates (a) that nonexclusion is not necessarily in every case a positive indication of the paternity of the man involved; and (b) that the probability of exclusion as a biological method of establishing paternity is not a suitable piece of evidence. The W-value (= "probability of paternity"), obtained on the basis of the Essen-Möller principle, provides complete information, and is alone conclusive.--The high proportion of non-fullhouse children among the 14 cases allows the conclusion that the more comprehensive the specificity spectrum of the antiserums used in the typing is, the fewer the number of such cases.

Blood Group Antigens↗
PubMed1979

[Apparently contradictory homozygosity of gc- and esd-markers in three generations (author's transl)].

In a paternity case we found contradictory blood group antigens in the serum- and enzyme-polymorphisms Gc and EsD of the child, her mother and grandparents. A possible accidental exchange of the child could be excluded by biostatistical calculations of the probabilities of motherhood, fatherhood and parenthood, and the descent from the parents was proven in both generations. The serological findings may be explained by the concurrent existence of silent genes or of genes that cannot be determined as yet. The genetic information Gc degrees descended from the grandfather and that for EsD degrees from the grandmother. Both were transmitted from the mother to the child. Thus, the case could be cleared by statistical considerations only.

Antigens↗
PubMed2025

APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19.

MOTIVATION: Computational analyses of bulk and single-cell omics provide translational insights into complex diseases, such as COVID-19, by revealing molecules, cellular phenotypes, and signalling patterns that contribute to unfavourable clinical outcomes. Current in silico approaches dovetail differential abundance, biostatistics, and machine learning, but often overlook nonlinear proteomic dynamics, like post-translational modifications, and provide limited biological interpretability beyond feature ranking. RESULTS: We introduce APNet, a novel computational pipeline that combines differential activity analysis based on SJARACNe co-expression networks with PASNet, a biologically informed sparse deep learning model, to perform explainable predictions for COVID-19 severity. The APNet driver-pathway network ingests SJARACNe co-regulation and classification weights to aid result interpretation and hypothesis generation. APNet outperforms alternative models in patient classification across three COVID-19 proteomic datasets, identifying predictive drivers and pathways, including some confirmed in single-cell omics and highlighting under-explored biomarker circuitries in COVID-19. AVAILABILITY AND IMPLEMENTATION: APNet's R, Python scripts, and Cytoscape methodologies are available at https://github.com/BiodataAnalysisGroup/APNet.

COVID-19↗
PubMed1978

A student's perspective on community medicine and the health crisis.

Community medicine is more difficult to teach and to learn than the traditional medical sciences. Teachers of community health have an interest in the rigors and theory of epidemiology and biostatistics, while most students plan a career in patient care. Abstractions and statistical data need not be presented unless it can be shown that these are the "physical findings" of a community and that they have value in the discovery of the etiology of disease, the prediction of risks, and the delivery of health care. Community medicine curricula must include experiential learning, with real patients and problems, in order to prove that health is affected by culture, politics, the environment, and individual behavior. If a student-physician's concern for community health is to be enduring, it must match in sophistication his skill in clinical medicine.

Community Medicine↗
PubMed1978

Teaching occupational health to physicians.

A comprehensive training program for physicians interested in occupational health is presented. The objectives are to prepare students to identify and prevent occupational disease, with an emphasis on the development of a public health perspective. Seven content areas are described: epidemiology and biostatistics, toxicology, industrial hygiene, safety and ergonomics, policy issues, administration, and clinical aspects. These are organized in a matrix to provide appropriate levels of training for medical students, resident physicians, and general practioners as well as physicians seeking specialty training.

Curriculum↗
PubMed1979

Cancer epidemiology in Japan.

Patterns, change in occurrence, causative risk factors, and control strategy for cancer of each site in Japanese populations were studied by applying standard methods and techniques of biostatistics and epidemiology. As the results, cancers in Japan were classified into two groups: one on the decrease (stomach, cervix) and the other on the increase (lung, colon, pancreas, breast, prostate, urinary organs, leukemia). Analysis of vital statistics, national nutrition survey data, and on-going prospective study data revealed change in selective dietary intake and increase in cigarette consumption are the major factors responsible for such trend. Epidemiological characteristics and major risk factors of cancers of stomach, colon, pancreas, lung, breast, uterine cervix, ovary, endometrium, prostate, urinary bladder, and leukemia in Japan were summarized. A limited effect of mass screening was observed in the case of stomach cancer in addition to the strong effect of diet and nutrition. Cigarette smoking was confirmed to be the major causative factor of lung cancer in Japan. A close association of increased intake of animal fat and breast cancer risk in Japanese women was also observed.

Diet↗