BIOMETRY (BIOM)

Associate Dean of the Graduate School, 4301 West Markham, Little Rock, AR 72205, 686-5454

PROFESSOR WALLS; PROFESSOR EMERITUS DYKMAN; ASSISTANT PROFESSOR THOMPSON; ADJUNCT PROFESSOR GAYLOR; ADJUNCT ASSOCIATE PROFESSOR KODELL

Degree Conferred: (none)

Courses in Biometry may be applied toward graduate degree programs in other disciplines with the permission of the student's adviser.

Courses: Biometry (BIOM)

500V Biometry Laboratory (I, II) Emphasizes the use of integrated statistical packages such as SAS or SYSTAT/SYGRAPH on micro-and mainframe-computers to complement concurrent instruction in BIOM 5013, 5023, or 5033. Limit of 1 hour per semester with 3 hours total. Prerequisite: consent.

5013 Biometrical Methods I (I) Introductory topics in descriptive biostatistics and epidemiology, database principles, basic probability, diagnostic test statistics, tests of hypotheses, sample-size estimation, power of tests, frequency cross- tabulations, correlation, non-parametric tests, regression, randomization, multiple comparisons of means, and analysis of variance for one- and two-factor experiments. Prerequisite: consent. Corequisite: BIOM 5001.

5023 Biometrical Methods II (II) Non-parametric analyses of variance. Multiple regression and linear models for analysis of variance. Experimental designs (randomization, data handling, analysis) with factorial treatment arrangements, repeated measures, and multiple covariates. Introduction to logistic regression and survival analysis. Prerequisite: consent. Corequisite: BIOM 5001.

5033 Biometrical Methods III (On demand) Survival analysis with covariates and grouping factors. Introduction to non-linear regression and pharmacokinetic models. Multivariate regression and multivariate analysis of variance. Principal component and factor analysis. Introduction to clustering and classification methods. Introduction to time series. Prerequisite: BIOM 5023. Corequisite: BIOM 5001.

5043 Introduction to Biomedical Computing Introduction to computers and experience in basic programming on a programmable calculator; the higher-level language of FORTRAN is introduced, with applications in biomedical field.

5053 Theory of Statistics I (On demand) Introduction to the mathematical foundations of statistical theory. Probability; probability models; density and distribution functions; mathematical expectation; conditional distributions; stochastic independence; special distributions; transformations of variables; moment-generating functions; interval estimations; order statistics. Prerequisite: integral calculus.

5063 Theory of Statistics II (On demand) Con-tinuation of Theory of Statistics I. Limiting distribution; stochastic convergence; the central limit theorem; point estimation; sufficiency; completeness; uniqueness; maximum likelihood; decision functions; Bayesian procedures; test of hypotheses; the multivariate normal distribution; analysis of variance. Prerequisite: BIOM 5053.

5073 Theory of Statistics III (On demand) Con-tinuation of Theory of Statistics I and II with emphasis on the theory of distribution. Sample spaces and events; field of sets; probability measure; random variables; integration of random variables; conditional random variables; i-dimensional random variables; characteristic functions; finite population theory; sequential analysis; time series analysis. Prerequisite: BIOM 5063.

5083 Mathematical Biology I (On demand) Mathematical descriptions of certain physiological systems; respiratory control system; partial models of the cardiovascular system; models of the osmoregulary system. Prerequisite: integral calculus and consent.

5093 Linear Statistical Models (On demand) Distribution of quadratic forms; linear models; polynomial models; linear hypothesis of full rank; experimental design models, solutions of linear hypothesis in experimental design models; variance components. (Same as STAT 5363.) Prerequisites: BIOM 5023, 5063.

5103 Sampling (On demand) Fundamental techniques used in conduction of sample surveys. Includes the concepts of simple random, stratified random, cluster, systematic, and multistage sampling. Design of optimum sampling plans for desired precision and/or cost constraints. Application to medical research problems is emphasized. Prerequisites: BIOM 5013, and consent.

5113 Nonparametric Methods (On demand) Comparison of parametric and nonparametric methods; choice of statistical model and method of analysis; practice in the use of various nonparametric techniques in the analysis of experiments involving one or more samples; and nonparametric methods of correlation. Prerequisite: BIOM 5013.

512V Special Topics in Biometry (1-3) (On demand) Advanced work in specialized fields such as bioassay, multivariate analysis, time series, etc. Credit, one to 3 hours per semester, limit of 9 hours. Prerequisite: consent.

5131 Biometry Seminar Prerequisite: graduate standing and consent.

5143 Health Care Economics--Theory and Quant-itative Analysis Basic concepts in economic theory and analysis applied to health care including supply and demand, theory of markets, economic efficiency, and organization theory. Resource allocation in health care including demand for medical care, supply of medical care, markets for health manpower, capital markets and hospital construction, and resource allocation in non-profit institutions. Prerequisite: prior or concurrent course in statistics.

5153 Quantitative and Economic Studies in Health Care Policy Introduction to cost-benefit analysis, medical care financing, government health care programs, regulation, costs and inflation. Prerequisite: BIOM 5143.

5163 Descriptive and Quantitative Studies in Health Planning and Systems Introduction to health planning, history and development of health planning, current health delivery system, alternative models in the United States and comparative studies of the health care delivery systems of other selected nations. Prerequisite: BIOM 5143.

5173 Quantitative Epidemiology I History and introduction to methods of epidemiology. Quantitation of morbidity and mortality within populations. Overview of study design, data analysis, and inferences. Specific areas of acute and chronic disease epidemiology illustrate epidemiologic methods such as risk factor analysis, surveillance systems, etiology of disease. Prerequisite: prior or concurrent course in statistics.

5183 Quantitative Epidemiology II Advanced methods of epidemiologic investigation with emphasis on applications to etiologic research. Causal inference, measures of risk, tests of significance, interval estimation, efficiency and precision, validity, techniques for handling confounding. Prerequisite: BIOM 5173.

5193 Quantitative Epidemiology Applied to special areas Application of quantitative techniques of data collection, analysis, and inference to special problems; hospital epidemiology, industrial epidemiology, communicable disease, environmental pollution, accident control, etc. Prerequisite: BIOM 5183.