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  1. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

    https://qubeshub.org/publications/833/?v=1

  2. Linear Models and Linear Mixed Effects in R: Tutorial 1

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/publications/832/?v=1

  3. Project MOSAIC

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Daniel Kaplan1, Karl-Dieter Crisman2, Nicholas Horton3, Eric Marland4, Randall Pruim5

    1. Macalester College 2. Gordon College 3. Amherst College 4. Appalachian State University 5. Calvin College

    Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.

    https://qubeshub.org/publications/825/?v=1

  4. Anna M Tucker

    https://qubeshub.org/community/members/9467

  5. statsTeachR

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By Nicholas G. Reich1, Andrea S. Foulkes1, Harrel Blatt1, Eric A. Cohen1, Gregory Matthews1

    University of Massachusetts

    statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. "modules", for teaching statistics using R at the undergraduate and graduate level.

    https://qubeshub.org/publications/781/?v=1

  6. SUMS4Bio - Video tutorials in math and stats for biology students

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1

    Radford University

    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology

    https://qubeshub.org/publications/747/?v=1

  7. Hao Tsui

    https://qubeshub.org/community/members/8348

  8. James S. Santangelo

    https://qubeshub.org/community/members/8226

  9. David William Jacobson

    https://qubeshub.org/community/members/8112

  10. Danilo Diedrichs

    https://qubeshub.org/community/members/8066

  11. Jessie Oehrlein

    I am statistics & math faculty at Fitchburg State University with a background in atmospheric science and an interest in K-16 math modeling and data literacy education.

    https://qubeshub.org/community/members/8042

  12. Emily Rollinson

    https://qubeshub.org/community/members/7977

  13. Passion-Driven Statistics as a Course-Based Undergraduate Research Experience (CURE)

    13 Jun 2018 | Teaching Materials | Contributor(s):

    By Lisa Dierker

    Wesleyan University

    Session presentation on passion-driven, project-based experience in statistics at the 2018 QUBES/BioQUEST Summer Workshop

    https://qubeshub.org/publications/648/?v=1

  14. Jason E Miller

    https://qubeshub.org/community/members/7720

  15. Modernizing Statistics Education via Biology Applications

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Olcay Ackman

    Illinois State University

    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

    https://qubeshub.org/publications/254/?v=1

  16. AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak

    Radford University

    This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.

    https://qubeshub.org/publications/239/?v=1

  17. Natalie Madeleine Howe

    https://qubeshub.org/community/members/6640

  18. John J McGee

    https://qubeshub.org/community/members/5994

  19. Radiant

    out of 5 stars 

    16 Sep 2015 |

    Business analytics using R and Shiny.

  20. Niels Proctor

    https://qubeshub.org/community/members/5775

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