Propensity Score Matching analysis 쉽게 하기
김지형
Propensity Score Matching analysis가 왜 인기가 많으며 어떤 장점이 있는지 배웁니다. 또, 이를 활용하여 논문으로 제출할 때 바로 사용할 수 있는 표와 그래프를 쉽게 만듭니다.
입문
통계
Comparison and combination of multiple diagnostic values
How should we integrate the results of different diagnostic methods when they are different? Are there any diagnostic methods that are unnecessary among the various diagnostic methods? We will provide answers to these questions.
What you will learn!
Learn how to combine multiple test results into a single score.
Learn how sensitivity and specificity change depending on the cutoff point of the score.
Learn methods to establish optimal diagnostic criteria.
Mathematical and diagnostic methods
We'll give you the scientific answer! 👩💻
Several diagnostic methods
Mathematically/Scientifically 🔬
A diagnosis is rarely made with just one diagnostic method, as not all diagnostic methods produce the same results.
- How can we best integrate the results of different diagnostic methods?
- Which of the various diagnostic methods would be most helpful in improving the diagnostic rate?
- Among the various diagnostic methods, aren't there some that are unnecessary?
There are mathematical and scientific answers to all these questions.
And this isn't limited to medicine or diagnosis. It's a fundamental principle that always follows us when making decisions or choices. Whether it's raining, whether to carry an umbrella, whether to take the bus, whether to get married, whether to eat, all these judgments and decisions involve a process of integrating various reasons within our minds . This lecture is a mathematical implementation of this process.
And it's also the foundation of machine learning. This method has been in continuous use since before the term "machine learning" became popular, and has been utilized by medical researchers. It's now a classic and a machine learning method. Yet, it's in no way inferior to the best machine learning techniques.
Recommended for
these people
Who is this course right for?
medical researcher
Researchers who require diverse judgment
People who want to learn machine learning
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Learners
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Reviews
9
Answers
4.6
Rating
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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 등
저서
『일차진료의를 위한 정형외과』(대한의학서적) 1판, 2판
『논문 쉽고 편하게 쓰자』(대한의학서적) 1판, 2판, 3판
『한눈에 쏙쏙 의학 통계 배우기』(2013년 문화체육관광부 우수학술도서상) 1판, 2판
『샘플 수의 계산』(대한의학서적)
『연구자를 위한 그래프 그리기』(북앤에듀) 1판, 2판
『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 37min)
Course Materials:
Lecture resources
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$15.40
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