What is biostatistics?
Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data.
UNL faculty involved in biostatistics:
- Christopher Bilder: categorical data analysis, group testing, computational statistics
- Kent Eskridge: causal modeling of biological processes, multivariate methods
- Kathy Hanford: mixed models, statistical genetics
- Stephen Kachman: statistical genetics, quantitative genetics
- Julia Soulakova: statistical methods for analyses of clinical trials with a primary focus on drug efficacy studies