2013
DOI: 10.1016/j.crvasa.2013.04.001
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Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09

Abstract: Randomizované klinické studie jsou považovány za zlatý standard pro medicínu založenou na důkazech, avšak tyto studie nemusejí být vždy proveditelné nebo etické a vědci musejí spoléhat na observační studie nebo výzkumné databáze. Nicméně získání spolehlivých výsledků z těchto studií vyžaduje odstranění potenciálního vlivu dalších faktorů. Naštěstí existuje několik statistických metod schopných identifi kovat a snížit vliv dalších faktorů. Jednou z nich je metoda propensity skóre, která je v současné době často… Show more

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Cited by 32 publications
(25 citation statements)
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“…All analyses were conducted using univariate analysis and multivariate analysis adjusted with selected potential confounders. We performed the propensity score matching method (PSM) to control for selection bias by adjusting for the impact of given confounding factors [ 25 ]. All analyses were re-evaluated after checking for balance in the characteristics of matched groups.…”
Section: Methodsmentioning
confidence: 99%
“…All analyses were conducted using univariate analysis and multivariate analysis adjusted with selected potential confounders. We performed the propensity score matching method (PSM) to control for selection bias by adjusting for the impact of given confounding factors [ 25 ]. All analyses were re-evaluated after checking for balance in the characteristics of matched groups.…”
Section: Methodsmentioning
confidence: 99%
“…The purpose of the propensity score method is eliminating the covariate imbalance between treatment and control groups. Covariates are balanced if the treatment and control groups have the same distribution of observed covariates [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…So, a standard protocol for assessing the professionalism in surgeons is needed [41, 42]. Treatment selection bias is hard to assess and can be mostly eliminated in RCTs [43], and in the absence of RCTs, the propensity score matching is calculated [44]. However, it has been stated that “To date, there is no clear indication of whether propensity scores can remove the selection bias that jeopardizes quasi-experiments” [45].…”
Section: Discussionmentioning
confidence: 99%