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| 183 |
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Biostatistical Methods I |
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(4 units) |
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§
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Fall |
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| Instructor(s):S. Glantz |
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| Activities:
Lecture: 4 hours
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This course provides an introduction to the use of statistical techniques in biomedical and behavioral research. The course will cover common descriptive statistics including the mean, median and standard deviation, as well as techniques for testing hypotheses (analysis of variance, t-tests, regression, nonparametric methods) and issues in sampling and design of experiments. (EPID & BIO) |
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| 187 |
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Intro Stat Theory & Practice |
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(5 units) |
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Winter |
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| Instructor(s):S. Paul Prerequisite(s): Previous course in introductory statistics. |
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| Activities:
Lecture: 4 hours, Laboratory: 2 hours
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Review of basic statistical theory, sampling, descriptive statistics, and probability. Presentation of confidence intervals, hypothesis testing, one- and two-factor analysis of variance, correlation, simple linear regression, and chi-square tests. A preparation for more advanced work. (EPID & BIO) |
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| 192 |
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Introduction to Linear Models |
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(5 units) |
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Spring |
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| Instructor(s):S. Paul Prerequisite(s): Biostatistics 183 or 187 or equivalent or permission of instructor |
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| Activities:
Lecture: 4 hours, Laboratory: 3 hours
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This course begins with bivariate correlation and simple linear regression and then moves on to a presentation of multiple regression techniques and the analysis of variance under the general model. The focus is on the choice of technique and interpretation of results rather than on mathematical development of the methods. (EPID & BIO) |
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| 200 |
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Biostatistical Methods in Clinical Research I |
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(3 units) |
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§
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Fall |
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| Instructor(s):J. Hahn Prerequisite(s): Epi 180.04 and possession of a MD, PhD, DDS or PharmD or equivalent doctoral degree. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting. |
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| Restrictions:Individuals not enrolled in the ATCR Certificate Program or Masters Degree in Clinical Research may take this course, space permitting, only with the prior permission of the instructor. Auditing is not permitted.
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Course is an introduction to the study of biostatistics. Course addresses types of data, their summarization, exploration and explanation, as well as concepts of probability and their role in explaining uncertainty. Course concludes with coverage of inference applied to means , proportions, regression coefficients and contingency tables. Throughout the course, the software program STATA will be used. (EPID & BIO) |
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| 208 |
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Biostatistical Methods II |
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(3 units) |
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§
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Winter |
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| Instructor(s):S. Shiboski Prerequisite(s): Possession of MD, PhD, DDS or PharmD degree or permission of course director and Epidemiology 180.04 and Biostat 183 or equivalent. |
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| Restrictions:This course is part of the curriculum for the Advanced Training in Clinical Research (ATCR) Certificate Program and the Master's Degree Program in Clinical Research. This course has special fees attached for non-matriculated students.
Activities:
Lecture: 3 hours
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Instruction in multiple predictor analyses as a tool for control of confounding and for constructing predictive models. Topics will include exploratory data analyses, linear regression, and logistic regression. The STATA statistical package will be used. (EPID & BIO) |
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| 209 |
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Biostatistical Methods III |
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(3 units) |
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§
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Spring |
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| Instructor(s):J. Kornak Prerequisite(s): Possession of MD, PhD, DDS or PharmD degree or permission of course director and Epidemiology 180.04 and Biostat 183 and 208. |
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| Restrictions:This course is part of the curriculum for the Advanced Training in Clinical Research (ATCR) Certificate Program and the Master's Degree Program in Clinical Research. This course has special fees attached for non-matriculated students.
Activities:
Lecture: 2 hours, Laboratory: 2 hours
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Advanced instruction in multiple predictor analyses. Topics will include survival analysis and regression for repeated measures. In the final weeks of the course, participants will receive individualized instruction for the analysis of their own data. (EPID & BIO) |
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| 210 |
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Biostatistical Methods IV |
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(2 units) |
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§
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Fall |
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| Instructor(s):D. Glidden Prerequisite(s): Possession of MD, PhD, DDS or PharmD degree or permission of course director and Epidemiology 180.04 and Biostatistics 208 and 209. |
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| Restrictions:This course is part of the curriculum for the Advanced Training in Clinical Research (ATCR) Certificate Program and the Master's Degree Program in Clinical Research. This course has special fees attached for non-matriculated students.
Activities:
Lecture: 3 hours
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This is a continuation of the Biostatistical Methods in Clinical Research series, covering additional methods in multi-predictor analyses and allowing more in-depth exploration of the topics cobered in Biostat I, II and III. Topics in survival analysis and longitudinal analysis will be emphasized and students are also encouraged to utilize their own projects to motivate discussion and to suggest topics of interest. (EPID & BIO) |
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| 212 |
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Introduction to Statistical Computing in Clinical Research |
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(1.0 units) |
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Summer |
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| Instructor(s):M. Pletcher Prerequisite(s): EPI 180.04 and possession of a MD, PhD, DDS or PharmD or equivalent doctoral degree. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting. |
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| Restrictions:This course is open to a limited number of individuals outside of the ATCR and master's programs. Preference is given to UCSF-affiliated personnel. Auditing is not permitted.
Activities:
Lecture: 11 hours, Laboratory: 7 hours
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This course will introduce clinical researchers to the use of computer software for managing and analyzing clinical research data. Currently available statistical packages will be described and the roles of spreadsheet and relational database programs discussed. Use of STATA for managing, cleaning, describing, and analyzing data will be taught in lecture and laboratory sessions. (EPID & BIO) |
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| 215 |
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Strengthening causal inferences based on observational data |
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(3.0 units) |
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§
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Spring |
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| Instructor(s):E. Vittinghoff, S. Shiboski Prerequisite(s): EPIDEMIOL 203
BIOSTAT 208
BIOSTAT 209
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| Restrictions:Should have a working understanding of the following: confounding, mediation, and interaction; directed acyclic graphs; linear, logistic, Cox, and repeated measures regression models; how to implement and check these models in Stata; and basic data management skills.
Activities:
Lecture: 15 hours, Laboratory: 15 hours, Project: 30 hours
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The course will define average causal effects in terms of potential outcomes, show when standard regression methods support causal inferences, and show how to estimate and interpret marginal causal effects. It will also cover propensity scores, for rare outcomes but common binary exposures; marginal structural models, for time-dependent treatments with time-dependent confounder/mediators; new-user designs; instrumental variables, for data with important unmeasured confounders. (EPID & BIO) |
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| 219 |
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Statistical Methods in Genetic Epidemiology |
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(2.0 units) |
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§
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Spring |
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| Instructor(s):S. Sen Prerequisite(s): EPIDEMIOL 202, EPIDEMIOL 217. Exceptions may be made with the consent of the Course Director, space permitting.
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| Restrictions:This course is intended for individuals enrolled in ATCR or MAS programs. Others may take this course, space permitting. Special fees apply. Auditing is not permitted.
Activities:
Lecture: 20 hours
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This course will discuss selected statistical topics in genetic epidemiology. The focus is on statistical concepts, and specialized statistical procedures commonly used in genetics. We will cover basic concepts (permutation tests, likelihood ratios, multiple comparisons), study designs (family-based and population based association studies), as well as special topics of current interest (genomewide association studies, population structure).
(ATCR PROG) |
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| 226 |
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Biostatistical Methods for Clinical Research V |
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(1 units) |
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§
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Winter |
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| Instructor(s):J. Hilton Prerequisite(s): Epidemiology 202, Biostat 200, 208, 209. Exceptions may be made with the consent of the course director, space permitting. |
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| Restrictions:Intended for students in the ACTR or MAS programs, space permitting. Individuals not enrolled in the ATCR or MAS programs may take this course. Special fees apply. Auditing is not permitted.
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Instruction in advanced topics in biostatistics: current issues in the design and analysis of randomized clinical trials. (EPID & BIO) |
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| 250 |
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Research |
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(1 - 8 units) |
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§
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Fall, Winter, Spring |
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| Instructor(s):Staff |
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| Activities:
Research: 3 - 24 hours
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| 297 |
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Special Study |
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(1 - 3 units) |
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§
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Fall, Winter, Spring |
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| Instructor(s):Staff |
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| Activities:
Seminar: 3 - 9 hours
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Reading and conferences for qualified students under the direction of a member of the staff. (EPID & BIO) |
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