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12th Annual Summer Institute in Statistics for Big Data (SISBID)
SISBID
Module 3
BD2603: Supervised Methods for Statistical Learning
SISBID
Module 4
BD2604: Unsupervised Methods for Statistical Learning
SISBIDNEW
Module 5
BD2605: Deep Learning and Artificial Intelligence
13th Annual Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER)
SISCER
Module 1
CR2601: Design and Analysis of Clinical Trials
SISCER
Module 2
CR2602: Causal Inference with Observational Data
SISCER
Module 3
CR2603: Introduction to Survival Analysis
SISCER
Module 4
CR2604: Topics in Clinical Trials
SISCER
Module 5
CR2605:Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
SISCERNEW
Module 6
CR2606: Multi-state models for time-to-event data
SISCERNEW
Module 7
CR2607: Design and Analysis of Two-Phase Studies
SISCER
Module 8
CR2608: Joint Modeling of Longitudinal and Survival Data
SISCER
Module 10
CR2610: Using Causal Graphs in Epidemiological Research
SISCER
Module 11
CR2611: Modern Statistical Learning for Observational Data
SISCER
Module 12
CR2612: Evaluation of Biomarkers and Risk Models
SISCER
Module 14
CR2614: Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables