Mathematical Biostatistics Boot Camp 2

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Opleiderscore: starstarstarstar_halfstar_border 7,2 Coursera (CC) heeft een gemiddelde beoordeling van 7,2 (uit 6 ervaringen)

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Beschrijving

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About this course: Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

Created by:  Johns Hopkins University
  • Taught by:  Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health
Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.1 stars Average User Rating 4.1See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

Created by:  Johns Hopkins University
  • Taught by:  Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health
Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.1 stars Average User Rating 4.1See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from your peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Johns Hopkins University The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

Syllabus


WEEK 1


Hypothesis Testing



In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.


12 videos, 1 reading, 1 practice quiz expand


  1. Reading: Syllabus
  2. Video: Hypothesis Testing
  3. Video: Hypothesis Testing
  4. Video: General Rules of Hypothesis Testing
  5. Video: Two-sided Tests
  6. Video: Confidence Intervals & P Values
  7. Video: Power
  8. Video: Calculating Power
  9. Video: T Tests & Monte Carlo
  10. Video: Two Sample Tests - Matched Data I
  11. Video: Two Sample Tests - Matched Data II
  12. Video: Two Sample Tests - Regression to the Mean
  13. Video: Two Sample Tests - Two Independent Groups
  14. Practice Quiz: Module 1 Homework (Not counted toward final grade)

Graded: Module 1 Quiz

WEEK 2


Two Binomials



In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!


8 videos, 1 practice quiz expand


  1. Video: Two Sample Binomial Tests - Score Statistic
  2. Video: Two Sample Binomial Tests - Exact Tests
  3. Video: Two Sample Binomial Tests - Comparing 2 Binomial Proportions
  4. Video: Relative Risks & Odds Ratios - Relative Measures
  5. Video: Relative Risks & Odds Ratios - The Relative Risk
  6. Video: Relative Risks & Odds Ratios - The Odds Ratio
  7. Video: Delta Method
  8. Video: Delta Method & Derivation
  9. Practice Quiz: Module 2 Homework

Graded: Module 2 Quiz

WEEK 3


Discrete Data Settings



In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.


7 videos, 1 practice quiz expand


  1. Video: Fisher's Exact Test
  2. Video: Hyper-Geometric Distribution
  3. Video: Fisher's Exact Text in Practice & Monte Carlo
  4. Video: Chi Squared Testing
  5. Video: Testing Independence
  6. Video: Generalization
  7. Video: Goodness of Fit Testing
  8. Practice Quiz: Module 3 Homework

Graded: Module 3 Quiz

WEEK 4


Techniques
This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical non-parametric methods.


16 videos, 1 practice quiz expand


  1. Video: Simpson's Paradox
  2. Video: Simpson's Paradox, more examples
  3. Video: Weighting
  4. Video: CMH test
  5. Video: Case Control Sampling
  6. Video: Exact inference for The Odds Ratio
  7. Video: Matched 2x2 Tables
  8. Video: Dependence and Marginal Homogeneity
  9. Video: Estimation of the Marginal Difference in Proportions
  10. Video: Odds and Ends for Matched 2x2 Tables
  11. Video: the sign test
  12. Video: the sign rank test
  13. Video: the rank sum test
  14. Video: Poisson distribution
  15. Video: Poisson likelihood
  16. Video: Poisson P-value calculation
  17. Practice Quiz: Module 4 Homework

Graded: Module 4 Quiz

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