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Courses

Biostatistics
  • PBHL-B 515 Biostatistical Practicum (1-3 cr.) P: STAT 52100, PBHL-B527, PBHL-B546. Real-world projects in biostatistics involving participation in consulting sessions, directed reading in the literature, research ethics, design of experiments, collection of data and applications of biostatistical methods. Detailed written and oral reports required. May be repeated, up to 6 credits.
  • PBHL-B 527 Introduction to Clinical Trials (3 cr.) P: STAT 51200, exposure to survival analysis; or consent of instructor. Prepares biostatisticians for support of clinical trial projects. Topics: fundamental aspects of the appropriate design and conduct of medical experiments involving human subjects including ethics, design, sample size calculation, randomization, monitoring, data collection analysis and reporting of the results.
  • PBHL-B 530 Statistical Methods in Bioinformatics (3 cr.) P: STAT 51200, STAT 51900; or consent of instructor. Covers a broad range of statistical methods used in many areas of bioinformatics research, including sequence alignment, genome sequencing and gene finding, gene expression microarray analysis, transcriptional regulation and sequence motif finding, comparative genomics, and proteomics.
  • PBHL-B 626 Advanced Likelihood Theory (3 cr.) P: STAT 51900, STAT 52800. This course covers theoretical foundation of statistical inference with focus on likelihood theory and its application on biomedical studies. It provides a good preparation for advanced biostatistics courses such as Advanced GLM, Advanced Longitudinal Data Analysis, and Advanced Survival Analysis.
  • PBHL-B 616 Advanced Statistical Computing (3 cr.) P: STAT 512, experience with R/Splus programming. This course will cover selected computational techniques useful in advanced statistical applications and statistical research. Topics to be covered include methods for solving linear equations, numerical optimization, numerical integration, Expectation-Maximization (EM) algorithm, Monte Carlo method, Bayesian methods, bootstrap methods and stochastic search algorithms.
  • PBHL-B 627 Statistics in Pharmaceutical Research (3 cr.) P: STAT 51200, PBHL-B527, PBHL-B546 This course is designed to strengthen the ties between industry and academia by introducing participants to the borad specturm of issues surrounding the drug development process in the pharmaceutical industry.
  • BIOS-S 636 Advanced Survival Analysis (3 cr.) P: STAT 52800, STAT 62800. Addresses the counting process approach to the analysis of censored failure time data.  Standard statistical methods in survival analysis will be examined.
  • PBHL-B 646 Advanced Generalized Linear Models (3 cr.) P: PBHL-B546. The theory of classical and modern approaches to the analysis of clustered data, repeated measures, and longitudinal data.
  • PBHL-B 612 Modern Statistical Learning Methods (3 cr.) P: STAT 52500. This course covers the various topics pertaining to the modern methods of high-dimensional data analysis. 
  • PBHL-B 698 Advanced Biostatistics Topics (1-3 cr.) P: Consent of instructor. This course has a variable title and can be offered for variable credits. Similar to topics courses offered in other IUPUI programs, this course offers an introduction to a variety of public health topics and current issues will be covered in this course.
  • PBHL-B 699 Ph.D. Thesis/Research (1-15 cr.) P: Must have been admitted to candidacy. Research required by the graduate students for the sole purpose of writing a Ph.D. Dissertation.
  • BIOS-S 634 Stochastic Modeling in Biomedical and Health Sciences (3 cr.) P: STAT 52800. The aim of this course is to develop those aspects of stochastic processes that are relevant for modeling important problems in health sciences. Among the topics to be covered are: Poisson processes, birth and death processes, Markov chains and processes, semi-Markov processes, modeling by stochastic diffusions. Applications will be made to models of prevalence and incidence of disease, therapeutic clinical trials, clinical trials for prevention of disease, length biased sampling, models for early detection of disease, cell kinetics and family history problems.
  • PBHL-B 574 Applied Longitudinal data Anlysis (3 cr.) P: STAT 51200, STAT 52500; or permission of instructor. This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data  frequently encountered in biomedical research. Class presentations and homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, PROC GENMOD, and PROC NLMIXED.
  • PBHL-B 587 Applied Longitudinal Data Analysis (3 cr.) P: Undergraduate statistics course and familiarity with statistical inference. This course will develop the student's ability to understand the pharmacokinetic/pharmacodynamic model, perform hypothesis tests and provide the interpretation of the data.
  • PBHL-B 688 Theory of Statistical Genetics (3 cr.) P: Graduate level statistic courses (such as PBHL-B 527, 546 and 536) This course is desgined to provide solid training in statistical theory used in genetic analyses.