
doi: 10.2307/2533431
pmid: 7787005
The International Biometric Society is an international society for the advancement of biological science through the development of quantitative theories and the application, development and dissemination of effective mathematical and statistical techniques. We consider some of the nonscientific and scientific issues being addressed by researchers in and across Regions and Groups of our Biometric world. These run the gamut of theoretical to applied mathematics and statistics with the applications spanning many fields and, not surprisingly, forming a rich source of new theoretical developments.
Acquired Immunodeficiency Syndrome, Biometry, Models, Statistical, Adolescent, Infant, Newborn, Infectious Disease Transmission, Vertical, Applications of statistics to biology and medical sciences; meta analysis, Pregnancy, Animals, Humans, Regression Analysis, Cattle, Female, Uganda, Epidemiologic Methods, Plant Diseases
Acquired Immunodeficiency Syndrome, Biometry, Models, Statistical, Adolescent, Infant, Newborn, Infectious Disease Transmission, Vertical, Applications of statistics to biology and medical sciences; meta analysis, Pregnancy, Animals, Humans, Regression Analysis, Cattle, Female, Uganda, Epidemiologic Methods, Plant Diseases
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
