Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
このコースはBiostatistics in Public Health の専門講座に属します。
Multiple Regression Analysis in Public Health
提供：
このコースについて
10,318 最近の表示
学習内容
Practice multiple regression methods to determine relationships between an outcome and multiple predictors
Use the Spline approach for non-linear relationships with continuous predictors
Perform calculations with multiple predictor variables
習得するスキル
effect modifcationProportional Hazards ModelRegression AnalysisSpline approach
共有できる証明書
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100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の4コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
約14時間で修了
推奨：4 weeks, 3-4 hours/week
英語
字幕：英語
シラバス - 本コースの学習内容
4時間で修了
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.
4時間で修了
9件のビデオ （合計177分）, 2 readings, 2 quizzes
9件のビデオ
Multiple Linear Regression: Some Examples23 分
Multiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates14 分
Estimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression9 分
The “Linearity” Assumption and Estimating Amount of Variability Explained by Multiple Predictors21 分
Examples from the Literature21 分
Investigating Effect Modification with Multiple Linear Regression (Forthcoming)20 分
Investigating Effect Modification with Multiple Linear Regression—More Examples, For Those Interested18 分
Additional Examples of Multiple Linear Regression34 分
2件の学習用教材
Solutions to Practice Quiz on Multiple Linear Regression10 分
Solutions to Summative Quiz 110 分
2の練習問題
Practice Quiz: An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30 分
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30 分
4時間で修了
Multiple Logistic Regression
Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.
4時間で修了
8件のビデオ （合計173分）, 2 readings, 2 quizzes
8件のビデオ
Multiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates18 分
Estimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression24 分
The “Linearity” Assumption and A Brief Note about Prediction with Multiple Logistic Regression27 分
Examples from the Literature26 分
Investigating Effect Modification with Multiple Logistic Regression, Part 118 分
Investigating Effect Modification with Multiple Logistic Regression, Part 210 分
Additional Examples21 分
2件の学習用教材
Solutions to Practice Quiz Items 1-910 分
Solutions to Quiz on Logistic Regression10 分
2の練習問題
Practice Quiz: Multiple Logistic Regression30 分
Multiple Logistic Regression30 分
3時間で修了
Multiple Cox Regression
The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.
3時間で修了
5件のビデオ （合計95分）, 2 readings, 2 quizzes
5件のビデオ
Some Examples17 分
Basics of Model Estimation and Handling Uncertainty in the Resulting Estimates18 分
Estimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression12 分
The "Linearity" Assumption and Prediction with Multiple Cox Regression21 分
Examples from the Literature25 分
2件の学習用教材
Soluitons To Multiple Cox Regression Practice Quiz10 分
Solutions: Summative Quiz (Multiple Cox Regression)10 分
2の練習問題
Practice Quiz: Multiple Cox Regression30 分
Multiple Cox Regression, and Course Concepts30 分
2時間で修了
Course Project
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.
2時間で修了
1 reading
1件の学習用教材
Biostatistical Consulting Project10 分
1の練習問題
Project2 時間
4.7
12件のレビューMultiple Regression Analysis in Public Health からの人気レビュー
The course is well structured. The numerous examples and practice questions help the student apply the concepts learned. I love the fact that almost every question was from a real article.
The course was five stars, there were some quiz issues and a few numerical issues, but I learned a lot and appreciate the time and effort put into the content. Thank you!
ジョンズ・ホプキンズ大学（Johns Hopkins University）について
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.
Biostatistics in Public Health 専門講座について
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
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