About this Course

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Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete
English

What you will learn

  • Practice simple regression methods to determine relationships between an outcome and a predictor

  • Recognize confounding in statistical analysis

  • Perform estimate adjustments

Skills you will gain

P-ValueProportional Hazards ModelConfoundingregression
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Simple Regression Methods

3 hours to complete
8 videos (Total 148 min), 2 readings, 2 quizzes
8 videos
Simple Regression: An Overview17m
Simple Linear Regression with a Binary (or Nominal Categorical) Predictor14m
Simple Linear Regression with a Categorical Predictor22m
Simple Linear Regression with a Continuous Predictor25m
Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25m
Measuring the Strength of a Linear Association22m
Additional Examples17m
2 readings
Solutions to Linear Regression Practice Quiz10m
Quiz 1 Solution10m
2 practice exercises
Practice Quiz: Simple Linear Regression
Simple Linear Regression30m
3 hours to complete

Simple Logistic Regression

3 hours to complete
7 videos (Total 114 min), 2 readings, 2 quizzes
7 videos
Simple Logistic Regression: An Overview9m
Simple Logistic Regression with a Binary (or Categorical) Predictor22m
Simple Logistic Regression with a Continuous Predictor25m
Simple Logistic Regression: Accounting for Uncertainty in the Estimates15m
Estimating Risk and Functions of Risk from Logistic Regression Results16m
Additional Examples21m
2 readings
Solutions to Practice Quiz on Simple Logistic Regression10m
Quiz 2 Solutions10m
2 practice exercises
Practice Quiz: Simple Logistic Regression
Logistic Regression30m
Week
2

Week 2

3 hours to complete

Simple Cox Proportional Hazards Regression

3 hours to complete
7 videos (Total 101 min), 2 readings, 2 quizzes
7 videos
Simple Cox Regression: An Overview17m
Simple Cox Regression with a Binary (or Categorical) Predictor17m
Simple Cox Regression with a Continuous Predictor23m
Simple Cox Regression: Accounting for Uncertainty in the Estimates14m
Estimating Survival Curves from Cox Regression Results11m
Additional Examples14m
2 readings
Solutions for Practice Quiz on Simple Cox Regression10m
Solutions to Summative Quiz 310m
2 practice exercises
Practice Quiz: Simple Cox Proportional Hazards Regression
Simple Cox Regression30m
Week
3

Week 3

3 hours to complete

Confounding, Adjustment, and Effect Modification

3 hours to complete
10 videos (Total 117 min), 1 reading, 2 quizzes
10 videos
Confounding: A Formal Definition and Some Examples15m
Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11m
Adjusted Estimates: The General Idea Behind the Computations8m
Additional Examples7m
Effect modification: Introduction with an analytic example17m
Effect modification: Tree damage and elevation example15m
Effect modification: Examples from the literature16m
Confounding versus effect modification: A review7m
Additional examples15m
1 reading
Solutions to Summative Quiz 410m
2 practice exercises
Practice Quiz: Confounding and Effect Modification30m
Confounding and Effect Modification30m
Week
4

Week 4

2 hours to complete

Course Project

2 hours to complete
1 reading
1 reading
Biostatistical Consulting Project10m
1 practice exercise
Course Project Quiz2h

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