The Summer Institute in Statistics for Clinical and Epidemiological Research (SISCER) is designed to introduce participants to state-of-the-art methodology for biomedical studies, including clinical trials and observational studies.

Participants choose from a series of one-day and two-day modules and design a program best-suited to their interests. Prerequisites are minimal for most modules. Individuals attending the institute will receive certificates of course completion in recognition of their participation.

2023 Modules

SISCER Module
SISCER
Module 1
Design and Analysis of Clinical Trials
  • Meeting Times
    Mon, Jul 10, 1:30-5am PST
    Tue, Jul 11, 1:30-5am PST
    Wed, Jul 12, 1:30-5am PST
CR2301: Design and Analysis of Clinical Trials
SISCER Module
SISCER
Module 2
Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
  • Meeting Times
    Mon, Jul 10, 1:30-5am PST
    Tue, Jul 11, 1:30-5am PST
    Wed, Jul 12, 1:30-5am PST
CR2302: Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
SISCER Module
SISCER
Module 3
Analyzing Data from Complex Surveys
  • Meeting Times
    Tue, Jul 11, 6-9:30am PST
    Wed, Jul 12, 6-9:30am PST
CR2303: Analyzing Data from Complex Surveys
SISCER Module
SISCER
Module 4
Special Topics in Clinical Trials: Interpreting Exploratory Analyses & When are Biomarkers Valid Surrogates?
  • Meeting Times
    Thu, Jul 13, 1:30-5am PST
CR2304: Special Topics in Clinical Trials: Interpreting Exploratory Analyses & When are Biomarkers Valid Surrogates?
SISCER Module
SISCER
Module 5
Evaluation of Biomarkers and Risk Models
  • Meeting Times
    Thu, Jul 13, 1:30-5am PST
    Fri, Jul 14, 1:30-5am PST
CR2305: Evaluation of Biomarkers and Risk Models
SISCER Module
SISCERNEW
Module 6
Introduction to Missing Data Methods for Observational Studies
  • Meeting Times
    Mon, Jul 17, 1:30-5am PST
    Tue, Jul 18, 1:30-5am PST
CR2306: Introduction to Missing Data Methods for Observational Studies
SISCER Module
SISCER
Module 7
Bayesian Adaptive Clinical Trial Design
  • Meeting Times
    Mon, Jul 17, 1:30-5am PST
    Tue, Jul 18, 1:30-5am PST
CR2307: Bayesian Adaptive Clinical Trial Design
SISCER Module
SISCER
Module 8
Modern Statistical Learning for Observational Data
  • Meeting Times
    Tue, Jul 18, 1:30-5am PST
    Wed, Jul 19, 1:30-5am PST
    Thu, Jul 20, 1:30-5am PST
    Fri, Jul 21, 1:30-5am PST
CR2308: Modern Statistical Learning for Observational Data
SISCER Module
SISCER
Module 9
Adaptive Enrichment Clinical Trial Designs: Methods and Software
  • Meeting Times
    Wed, Jul 19, 1:30-5am PST
CR2309: Adaptive Enrichment Clinical Trial Designs: Methods and Software
SISCER Module
SISCER
Module 10
Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables
  • Meeting Times
    Thu, Jul 20, 1:30-5am PST
CR2310: Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables
SISCER Module
SISCERNEW
Module 11
Irregular Assessment Times in Randomized Controlled Trials
  • Meeting Times
    Tue, Jul 25, 1:30-5am PST
CR2311: Irregular Assessment Times in Randomized Controlled Trials
SISCER Module
SISCER
Module 13
Statistical Learning in Mediation Analysis
  • Meeting Times
    Wed, Jul 26, 1:30-5am PST
    Thu, Jul 27, 1:30-5am PST
    Fri, Jul 28, 1:30-5am PST
CR2313: Statistical Learning in Mediation Analysis
SISCER Module
SISCER
Module 14
Survival Analysis with Emphasis on Applications to Clinical Trials
  • Meeting Times
    Wed, Jul 26, 1:30-5am PST
    Thu, Jul 27, 1:30-5am PST
    Fri, Jul 28, 1:30-5am PST
CR2314: Survival Analysis with Emphasis on Applications to Clinical Trials
SISCER Module
SISCER
Module 15
Propensity Scores
  • Meeting Times
    Mon, Jul 31, 1:30-5am PST
    Tue, Aug 1, 1:30-5am PST
CR2315: Propensity Scores
SISCER Module
SISCER
Module 12
Causal Inference with Observational Data: Common Designs and Statistical Methods
  • Meeting Times
    Mon, Jul 24, 1:30-5am PST
    Tue, Jul 25, 1:30-5am PST
    Wed, Jul 26, 1:30-5am PST
CR2312: Causal Inference with Observational Data: Common Designs and Statistical Methods