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Education & Training

 
Filtered by category Data, 1 - 5 of 5 Postings (all, summary)

BIOMATH M261: Responsible Conduct of Research Involving Humans

Created by Paul Babin, last modified by Doug Smoot 23 Jun 2017, at 12:00 AM

BIOMATH M261: Responsible Conduct of Research Involving Humans

(former title: Ethics in Patient-Oriented Research)

Course Description: Lecture, two hours. Discussion of current issues in responsible conduct of clinical research, including reporting of research, basis for authorship, issues in genetic research, principles and practice of research on humans, conflicts of interest, Institutional Review Board (IRB), and related topics.  Obtaining a certificate of completion makes you eligible to submit a grant to the IRB.  (To receive a certificate of completion, registrants must attend at least seven of the ten lectures (sign weekly attendance sheet), submit proof of completion of one CITI basic course, and pass the take-home exam.)

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BIOMATH M260C: Methodology in Clinical Research: Observational Studies

Created by Paul Babin, last modified by Doug Smoot 23 Jun 2017, at 12:00 AM

BIOMATH M260C - OBSERVATIONAL STUDIES

Course Description: (Same as Medicine M260C) Discussion, four hours. Recommended preparation: M.D., Ph.D., or dental degree. Presentation of principles and practices of major disciplines underlying clinical research methodology, such as biostatistics, epidemiology, pharmacokinetics. Letter grading.

This course is open to graduate students in Track 3 (Master of Science in Clinical Research program). Track 2 Certificate trainees, ICPTP/T32 trainees (and then Track 1 and others) may attend with permission of the instructor and as space permits.

Topics include: Case Control, Design Issues, Cohort Studies, Measurement - Developing a New Instrument, Measurement - Levels & Sources, Measurement - Minimizing Errors, Study Designs, Sample Size, Data Analysis - Univariate, Multivariate and Interactions, Data Collection, Data Management.

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BIOMATH M263: Clinical Pharmacology

Created by Julia Nguyen, last modified by Gail Panatier 29 Oct 2015, at 12:00 AM

BIOMATH M263: Clinical Pharmacology 

Clinical pharmacology is a broad-based discipline, which bridges basic pharmacology and clinical medicine. A working knowledge of clinical pharmacology is an essential element of sound clinical and translational investigation. The application of clinical pharmacology principles to advances in contemporary medicine, e.g., targeting, gene therapy and genomics, will lead to more effective therapies and fewer adverse events. The clinical pharmacology course will provide an overview of these areas. Letter grading.

This course is open to graduate students in Track 3 (Master of Science in Clinical Research program). Track 2 (and then Track 1) may audit with permission of the instructor and as space permits.

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BIOMATH 259: Controversies in Clinical Trials

Created by Paul Babin, last modified by Christy Forte 30 Oct 2014, at 12:00 AM

BIOMATH 259: Controversies in Clinical Trials

Lecture, discussion and analysis of ten published and well-known trials with students, invited clinical faculty members, and course director. Development of ability to critically evaluate trial design and identify pitfalls. Letter grading.

This is a required course for Tracks 2 and 3 (and is also available to our CTSI partners via videoconference).

Track 3 (MSCR/enrolled) will be responsible for submitting a brief written critique of the distributed papers.

Track 2 (Certificate/auditors) may turn in homework, but it is optional - course pass/fail is based on 75% attendance.


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BIOMATH 266A: Applied Regression Analysis in Medical Sciences

Created by Christy Forte, last modified by Christy Forte 30 Oct 2014, at 12:00 AM

BIOMATH 266A: Applied Regression Analysis in Medical Sciences

Course Description: (Formerly numbered 171) Lecture, three hours; laboratory, one hour. Requisite: course 170A. Proficiency in applied regression analysis, with focus on interpretation of results and performing computation. Primary topics include simple linear regression, multiple regression, regression model selection, analysis of variance, logistic regression, and survival analysis. Letter grading.

This course is a companion to course Biomath 265A and is a required course for the Track 3/Master of Science in Clinical Research graduate degree program and the Track 2 Certificate training program.  Track 1 participants may attend with instructor permission and as space allows.

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