The Stanford Center for Clinical and Translational Research and Education

# Stanford Online Courses & Training

###### Introduction

Spectrum has supported the development of these high-tier online courses that educate researchers on important aspects of study design, biostatistics, bioethics, science writing and regulatory knowledge. The content is assembled and taught by well-recognized leaders in their respective academic fields.

Participation Requirements

Anyone with a Stanford Online account can go to Register here and click on the "Register" button to enroll.

Don't have a Stanford account? Create a Stanford Online account here, then Register here for a specific course. Please contact the respective instructor for questions related to any of these courses.

### Biostatistics in Sequence

Instructor: Kristin Sainani, PhD, a Stanford clinical assistant professor of health research and policy

HRP 259: Intro to Probability and Statistics for Epidemiology:
Topics: random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals. Correlation, regression, analysis of variance, and nonparametric tests. Introduction to least squares and maximum likelihood estimation. Emphasis is on medical applications. Differential between 3 and 4 units is the amount of out-of-class work required. » View curriculum

HRP 261: Intermediate Biostatistics: Analysis of Discrete Data
Provides hands-on instruction on methods for analyzing data from case-control and cross-sectional studies with topics including: the 2x2 table, chi-square test, Fisher's exact test, odds ratios, Mantel-Haenzel methods, stratification, tests for matched data, logistic regression, conditional logistic regression. Emphasis is on data analysis in SAS. Special topics: cross-fold validation and bootstrap inference. » View Curriculum

HRP 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis
How much chance do we have to reject the null hypothesis when the alternative is in fact true? (what’s the probability of detecting a real effect?) Can we quantify how much power we have for given sample sizes? This course provides methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, time-dependent variables, longitudinal data structures, profile plots, missing data, modeling change, MANOVA, repeated-measures ANOVA, GEE, and mixed models. Emphasis is on practical applications. » View Curriculum

### Data Management and Statistical Programming

Instructors: Rita Popat, PhD, Clinical Associate Professor of health research and policy

HRP 223: Provides hands-on introduction to basic data management and analysis techniques using SAS. Data management topics include: Introduction to SAS and SAS syntax, importing data, creating and reading SAS datasets, data cleaning and validation, creating new variables, and combining data sets. Analysis techniques include: basic descriptive statistics (e.g., means, frequency) and bivariate procedures for continuous and categorical variables. » View curriculum

### Analytical and Practical Issues in the Conduct of Clinical and Epidemiologic Research

Instructor: Rita Popat, PhD, Clinical Associate Professor of health research and policy
Schedule: Moderated courses TBD; Videos accessible 24/7 | Open only to those with SUnet ID

HRP-216-01: Provides hands on instruction to conducting clinical and epidemiologic research. Topics include: advanced aspects of study design and data analyses; development of health measurement instruments; methods of summarizing literature and quantifying effect sizes; and multivariable nature of health events in human populations. Requires a term paper. Prerequisites: 225, and 258 or 261, or consent of instructor. » View curriculum

### Research on Medical Practice (ROMP)

Instructor: David Magnus, PhD, the Thomas A. Raffin Professor and Director of the Stanford Center for Biomedical Ethics (SCBE)

Bioethicists released videos and policy guidelines to promote more ethical comparative-effectiveness research within medical practices. Videos easily explain the concepts of Clinical Research and cover the following topics: “Which Medication is Best?” exploring the influences and uncertainty associated with physicians’ prescribing preferences. “Research on Medical Practices” explaining medical record reviews, study randomization and randomization of clinics and hospitals. “Informing or Asking” describing ways to explain study participation to patients. »For more information

### Statistics in Medicine

Instructor: Kristin Sainani, PhD, a Stanford clinical assistant professor of health research and policy
Schedule: Moderated courses TBD; Videos accessible 24/7, CME option

This nine-week online course provides students with a foundational understanding of probability and statistics, teaching them the skills required to critically evaluate statistics in medical studies. It also shows students how to analyze and avoid common statistical pitfalls with their own research data.
» View curriculum

### Statistical Learning

Instructors: Trevor Hastie, PhD, the John A. Overdeck Professor and a professor of statistics and of health research and policy, and Robert Tibshirani, PhD, Professor of statistics and of health research and policy
Schedule: Moderated courses only, TBD

This nine-week online course teaches students how to construct computational systems that learn from collected data and predict outcomes, a foundation of artificial intelligence.
» View curriculum

### Writing in the Sciences

Instructor: Kristin Sainani, PhD, a Stanford clinical assistant professor of health research and policy
Schedule: Moderated courses TBD; Videos accessible 24/7, CME option

This course trains scientists to become more effective, efficient, and confident writers. The first four classes cover principles of effective writing, examples of good and bad writing, and tips for making the writing process easier. The second four classes examine authorship, peer review, the format of an original manuscript, and communicating science for lay audiences.
» View curriculum

### MedTech Regulatory Process Videos

Instructors: Paul Yock, MD, director of the biodesign program; Howard Holstein regulatory attorney; Su-Mien Chong, regulatory consultant