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Propensity Score Matching analysis made easy

Learn why Propensity Score Matching analysis is so popular and what its advantages are. Also, use it to easily create tables and graphs that can be used immediately when submitting a paper.

12 learners are taking this course

  • jeehyoung
통계분석
통계
Statistics

What you will learn!

  • Learn the why and how of Propensity Score Matching analysis.

  • Learn the limitations and restrictions of Propensity Score Matching analysis.

Essential for those writing medical papers
Propensity Score Matching analysis 🖐️

🔍 Notes before attending the lecture

  • Practice environment
    It can be used on Mac, Windows, and Linux.
    R Commander: In theory, it doesn't matter if it's Mac or Windows, but the lecture will be conducted for Windows.
  • Learning Materials
    We provide PDF and CSV files, web addresses, etc.
  • Target audience
    Propensity Score Matching analysis is designed for those with experience reading and writing general research papers. Propensity Score Matching analysis cannot be performed from scratch.
  • Practical example
    You can solve the examples using the Shiny app that runs on an Internet web page, or using R Commander.


Propensity Score Matching analysis

Let's learn and use Propensity Score Matching analysis, which is essential for those writing medical papers.

✨ Students' concerns and solutions

#1 I don't know what this analysis is or how to do it.
👉 You will understand it quickly after listening to this lecture.

#2 I don't have any proper tools.
👉 If you take this course, you will receive a free tool that you can use for life.

#3 Aren't the tools difficult?
👉 Completed in just a few clicks. We provide graphs and tables ready for publication in your paper.

#4 What if something still doesn't work?
👉 If the original data is bad, it won't work. You'll know which data is good and which is bad.

Recommended for
these people

Who is this course right for?

  • People who want to read and write medical papers

  • Anyone who wants to understand and utilize Propensity Score Matching analysis

Hello
This is

1,705

Learners

71

Reviews

9

Answers

4.6

Rating

8

Courses

출강 이력

서울대, 연세대, 경희대학 서울시립대, 명지대, 계명대, 한양대, 순천향대, 건국대, 충북대, 마이크로 소프트(MS), 국민은행, 신용협동조합, SK제약, 콘바텍, 식약처, 질병관리 본부, 보건인력개발원 , 국립의과학지식센터, 서울대병원, 분당서울대병원, 보라매병원, 현대아산병원, 원자력병원, 고대구로병원, 가톨릭대병원, 광주기독병원, 삼성서울병원, 원주기독병원, 길병원, 국립재활원, 일산동국대병원, 전남대병원, 조선대병원, 서울연구원, 한국보건산업진흥원 중동센터, 한국출판콘텐츠센터

저서

일차진료의를 위한 정형외과(대한의학서적) 1, 2

논문 쉽고 편하게 쓰자(대한의학서적) 1, 2, 3

한눈에 쏙쏙 의학 통계 배우기(2013년 문화체육관광부 우수학술도서상) 1, 2

샘플 수의 계산(대한의학서적)

연구자를 위한 그래프 그리기(북앤에듀) 1, 2

프레젠테이션 작업 가이드(북앤에듀)

dBSTAT 길들이기(바른의학연구소)

임상 실험을 위한 무작위 대조 연구(한나래)

데이터랑 놀자, R 데이터 시각화(북앤에듀)

쉽고 편하게, 메타분석(북앤에듀)

스마트 보고서 스피드 공공문서(북앤에듀)

맛있는 부분만 골라 먹자, 엑셀 피벗테이블(북앤에듀)

Zotero 활용하기(북앤에듀)

누구나 쉽고 재미있게 만드는 예측모형(북앤에듀)

어서와 학술대회는 처음이지(북앤에듀)

데이터랑 놀자, R 데이터 시각화-응용심화편(북앤에듀)

Excel+R 데이터 분석(한나래)

아빠가 들려주는 ggplot2+α』(한나래)

Curriculum

All

7 lectures ∙ (1hr 4min)

Course Materials:

Lecture resources
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$15.40

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