Prerequisites: Admission to a degree program in Biostatistics
The purpose of this course is to review basic applied statistical concepts and tools and to introduce the SPH computer network and statistical software.
Prerequisites: Biostatistics 601 or equivalent or Perm. Instr. One course Introductory Statistics
This course is designed for individuals with a strong quantitative background that are interested in the scientific, policy, design and management aspects of clinical trials. Topics include types of clinical research, bias and random error, study design, ethics, treatment allocation, randomization and stratification quality control, power and sample size, group sequential monitoring, crossover designs and meta-analysis.
Prerequisites: Biostat 602 or STAT 511, and Biostat 650 or Perm. Instr
First half covers theory and applications of rank and randomization tests: sampling and randomization models, randomization t-test, Wilcoxon rank sum and signed rank tests, Kruskal-Wallis test, asymptotic result under randomization, relative efficiency; second half covers theory and applications of nonparametric regression: smoothing methods, including kernel estimators, local linear regression, smoothing splines, and regression splines, methods for choosing the smoothing parameter, including unbiased risk estimation and cross-validation, introduction to additive models.
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