Search

Stats for Neuroscientists
Stats for Neuroscientists
  • Syllabus
  • Schedule
  • Readings
  • Assignments
  • Classes
  • RStudio.cloud
Reading details
  • Reading policy
Readings
  • 1: Introduction to R/RStudio and Images
  • Week 2. Preprocessing and Filtering
  • Week 3. Image Thresholding
  • Week 4: Image Segmentation
  • Week 5: Image Segmentation using Voronoi Tessellation
  • Week 6: Experimental Design and Intro Stats Reading
  • Week 6: Point Estimates and Confidence Intervals
  • Week 7: Hypothesis Testing
  • Week 7: Point Pattern Analysis
  • Week 9: Exploring Features
  • Week 10: Dimensionality Reduction and Clustering
  • Week 11: Machine Learning

Week 6: Experimental Design and Intro Stats Reading

Read before class on Tuesday, May 12, 2020

Required

More on Experimental Design

  • A beginner’s guide to rigor and reproducibility in fluorescence imaging experiments

For Next Session

  • Review of Visualization - interactive tutorial
  • Statistics in 30 Minutes - video
  • Sampling and Confidence Intervals

Last updated on May 12, 2020

Edit this page

NEUS 643: Stats for Neuroscientists (Spring 2020)
Oregon Health & Science University    Neuroscience Graduate Program

Dr. Ted Laderas    laderast@ohsu.edu

Tuesday/Thursday    1:00–2:00 PM
Online

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Content 2020 ted

This site created with the Academic theme in blogdown and Hugo.

View the source at GitHub.

Cite
Copy Download