Methodological Overview of Prospensity Score Matching Methods demonstrated on Colorectal Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10252879" target="_blank" >RIV/61989100:27240/23:10252879 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10194437" target="_blank" >https://ieeexplore.ieee.org/document/10194437</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IDT59031.2023.10194437" target="_blank" >10.1109/IDT59031.2023.10194437</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Methodological Overview of Prospensity Score Matching Methods demonstrated on Colorectal Data

Popis výsledku v původním jazyce

Propensity score matching (PSM) is a method which is recommended to use at the case that data sets are not comparable. There exists several approaches at the definition of propensity score. We focused on two of them: model of logistic regression and machine learning method boosting. Propensity score principle can be applied in two ways: propensity score matching and weighting methods. The purpose of this study is to compare different PSM approaches and their influence on decision-making about the differences between two groups of data. Theoretical approach was demonstrated on biomedical data from the resort surgery.

Název v anglickém jazyce

Methodological Overview of Prospensity Score Matching Methods demonstrated on Colorectal Data

Popis výsledku anglicky

Propensity score matching (PSM) is a method which is recommended to use at the case that data sets are not comparable. There exists several approaches at the definition of propensity score. We focused on two of them: model of logistic regression and machine learning method boosting. Propensity score principle can be applied in two ways: propensity score matching and weighting methods. The purpose of this study is to compare different PSM approaches and their influence on decision-making about the differences between two groups of data. Theoretical approach was demonstrated on biomedical data from the resort surgery.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Information and Digital Technologies 2023, IDT 2023

ISBN

979-8-3503-0587-6

ISSN

2575-6753

e-ISSN

2575-677X

Počet stran výsledku

8

Strana od-do

89-96

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Žilina

Datum konání akce

20. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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