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Biostatistics Courses
| 171:161 Introduction to Biostatistics |
3 s.h. |
| Application of statistical techniques to biological data, including descriptive statistics; probability; normal, binomial, and Poisson distributions; sampling distributions; tests of significance; confidence intervals; analysis of frequency data; simple linear regression. Prerequisite: college algebra. |
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| 171:162 Design and Analysis of Biomedical Studies |
3 s.h. |
| Simple and multiple linear regression and correlation; one- and two-way layout considerations in planning experiments; factorial experiments; multiple comparison techniques; orthogonal contrasts. Offered spring semesters. Prerequisite: 171:161 or equivalent. Same as 22S:140. |
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| 171:163 Introduction to the Design of Sample Surveys |
3 s.h. |
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| 171:164 Research Data Management |
3 s.h. |
| Overview of problems encountered in gathering and processing data from biomedical investigations; introduction to data management techniques useful in biomedical studies; introduction to Microsoft Access. Offered fall semesters of odd years. Prerequisite: Fortran or C programming capability. |
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| 171:168 Introduction to Biostatistical Computing |
1 s.h. |
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| 171:171 Statistical Methods in Oncology |
1 s.h. |
| Statistical methods used in oncology, hematology, and cancer. |
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| 171:173 Intermediate Design of Sample Surveys |
3 s.h. |
| Challenges in designing sample surveys; emphasis on construction and number of strata, unbiased ratio estimators, multistaged sampling, estimation of variance in complex surveys, double sampling, sampling frame construction problems, panel studies, and problems due to nonresponse. Offered fall semesters. Prerequisite: 22S:154 or 22S:194 or 171:202 or equivalent. |
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| 171:174 Introductory Longitudinal Data Analysis |
3 s.h. |
| Statistical models and estimation methods used to analyze correlated data (e.g., the same subject measured repeatedly); focus on use of statistical software. Offered fall semesters of even years. Pre- or corequisite: 171:161 or 171:162 or 22S:152. Same as 22S:160. |
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| 171:178 Biostatistical Computing |
3 s.h. |
| Groundwork in SAS and R programming; emphasis on data management, Monte Carlo simulations, and expectation maximization techniques; C and C++ skills recommended. Offered fall semesters. Corequisite: 171:201 or consent of instructor. |
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| 171:201 Biostatistical Methods I |
4 s.h. |
| Problem-oriented probability distributions, moments, estimation, parametric and nonparametric inference for one-sample and two-sample problems, analysis of frequency data, linear regression, and correlation analysis, with emphasis on use of computers. Offered fall semesters. Prerequisites: two semesters of calculus and consent of instructor. |
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| 171:202 Biostatistical Methods II |
4 s.h. |
| Continuation of 171:201, which is prerequisite; linear regression and correlation, multiple linear regression, multiple factor experiments, multiple comparisons, orthogonal contrasts, block and split-plot designs, confounding interactions, and mixed models. Offered spring semesters. Prerequisite: 171:201. |
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| 171:203 Biostatistical Methods in Categorical Data |
3 s.h. |
| Introduction to methods for allied categorical data analysis; estimation of proportions, rates, and risks; measures of relative risk and odds ratios, stratified analysis, case control studies, logistic regression. Offered fall semesters. Prerequisites: 171:178 and 171:201. Corequisites: 22S:154 or 22S:194, and 171:202. |
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| 171:230 Statistical Data Mining in Public Health |
3 s.h. |
| Introduction to supervised statistical methods (e.g., regression, decision tree, neural network) and unsupervised methods (e.g., association rules and clustering) for data analysis in health-related applications. Offered spring semesters of even years. Prerequisites: 171:202, and 22S:153 or 22S:193; or consent of instructor. |
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| 171:241 Applied Categorical Data Analysis |
3 s.h. |
| Overview of methods to analyze categorical data from health science investigations; estimation of rates and risks, measures of relative risk, stratified analysis, logistic regression analysis. Offered fall semesters. Prerequisites: 171:162 and 173:140. |
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| 171:242 Applied Survival and Cohort Data Analysis |
3 s.h. |
| Nonparametric and semiparametric methods for survival data; methods of directly comparing standardized rates and standardization mortality ratios; Poisson regression for cohort data. Offered spring semesters of odd years. Prerequisites: 171:203 and 171:241. |
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| 171:243 Cohort Data Analysis |
1 s.h. |
| Methods of comparing direct standardized rates and standardized mortality ratios; Poisson regression for cohort data. Offered spring semesters of odd years. Prerequisites: 171:241 and consent of instructor. |
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| 171:251 Theory of Biostatistics I |
4 s.h. |
| Intermediate study of sufficiency, exponential families, methods of estimation, uniform minimum variance unbiasedness, information, likelihood theory, confidence intervals, the Neyman-Pearson lemma, asymptotic theory and its applications. Offered fall semesters of even years. Prerequisites: 22S:154 or 22S:194, and 171:202 or equivalent. |
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| 171:252 Theory of Biostatistics II |
4 s.h. |
| Nonparametric hypothesis tests, semiparametric estimation, generalized linear models, generalized estimation equations, generalized linear mixed models, EM algorithm, computer-intensive methods; application of theory learned in 171:251 to classical and new methods in biostatistics. Offered spring semesters of odd years. Prerequisite: 171:251. |
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| 171:261 Survival Data Analysis |
3 s.h. |
| Types of censoring and truncation; survival function estimation; life tables; parametric inference using exponential, Weibull, and accelerated failure time models; nonparametric tests; sample size calculation; Cox regression with stratification and time-dependent covariates; regression diagnostics; competing risks; analysis of correlated survival data. Offered fall semesters of odd years. Prerequisites: 22S:154 or 22S:194, and 171:202 or equivalent. Same as 22S:225. |
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| 171:262 Analysis of Categorical Data |
3 s.h. |
| Models for discrete data, distribution theory, maximum likelihood and weighted least squares estimation for categorical data, tests of fit, models selection. Offered spring semesters. Prerequisites: 22S:154 or 22S:194, 22S:164 or 171:202, or consent of instructor. Same as 22S:220. |
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| 171:264 Longitudinal Data Analysis |
3 s.h. |
| Introduction to statistical methodology for analyzing data from observational and experimental studies in which the response variable from each subject is measured repeatedly; emphasis on use of statistical software packages and specialized programs. Offered spring semesters of odd years. Prerequisites: 22S:154 or 22S:194, and 171:202 or equivalent. |
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| 171:266 Statistical Methods in Clinical Trials |
3 s.h. |
| Survey of statistical methods commonly used in clinical trials; methodologic perspective on the design, conduct, and analysis of trials; emphasis on Phase III randomized controlled clinical trials. Offered spring semesters. Prerequisites: 22S:154 or 22S:194, and 171:202. |
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| 171:271 Advanced Survival Analysis |
3 s.h. |
| Counting process/martingale theory leading to asymptotic results of survival methods; semiparametric regression of accelerated failure time and additive hazard models; multivariate survival models for clustered, multiple event, and recurrent event data; special topics. Prerequisite: 171:261. |
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| 171:280 Preceptorship in Biostatistics |
arr. |
| Work experience using knowledge and skill acquired in classroom; arranged in conjunction with ongoing departmental or collegiate activities or with governmental agencies or private industry; preparation of prospectus and presentation of research results in a department seminar. Repeatable. |
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| 171:281 Independent Study in Biostatistics |
arr. |
| In-depth pursuit of an area of special interest in biostatistics requiring substantial creativity and independence. Repeatable. |
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| 171:282 Problems/Special Topics in Biostatistics |
arr. |
| Didactic material in biostatistics; may include tutorials, seminars, faculty-directed independent work (e.g. literature search, project, short research project). Repeatable. |
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| 171:290 Advanced Biostatistics Seminar |
1-3 s.h. |
| Current topics; supervised experience in reading and interpreting biostatistical literature. Offered spring semesters. Prerequisite: consent of instructor. |
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| 171:295 Research in Biostatistics |
arr. |
| Research that may lead to a dissertation. Repeatable. |
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| 171:300 Thesis/Dissertation |
arr. |
| Repeatable. |
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