Statistics has greatly influenced all scientific research in the modern era. As new theories are proposed,Statistics comes to the forefront of the debate to quantify how well theory corresponds with observedinformation. Biologicial research is built upon such observations and modern science is built upon models(e.g., synaptic or cellular models), which closely predict such phenomena . As variability is inherent to allmeasurements, statistical methods are essential tools for sifting interpretive potential from observations.While many investigators are adept at identifying critical research questions and generating complex datasets, intrinsic information in data is often lost, overlooked, or misinterpreted due to limitations in either thedesigned experiment or the investigator's repertoire of inferential techniques. Under the 'QuantitativeNeurobiology' theme of this proposal, a Quantitative Statistics Core will be established to optimizeinformation gleaned from numerical data by providing cutting edge statistical and analytic support to UTSANeurobiologists during the planning and analysis of their research. The Quantitative Statistics Coresupplements the research programs of SNRP-investigators with support in the form of statistical andcomputational expertise by drawing upon the considerable resources of the PhD program in AppliedBiostatistics at UTSA. Three advanced PhD students in Applied Biostatistcs will be chosen based onbackground and interest to be stationed in the labs of the three SNRP-investigators. Each student willprovide ongoing, individualized consultation and collaboration in experimental design and data analyticmethods to the investigator's research program. This arrangement will provide Biostatistics PhD studentswith data for their doctoral projects and training in practical Neuroscience, in addition to adding quanititativepower to the research programs of the SNRP-investigators.
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