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Statements

Subject Item
n2:RIV%2F65269705%3A_____%2F13%3A%230002172%21RIV14-MZ0-65269705
rdf:type
skos:Concept n11:Vysledek
rdfs:seeAlso
http://dx.doi.org/10.1016/j.crvasa.2013.04.001
dcterms:description
Randomized clinical trials represent the gold standard of the evidence based medicine research; nevertheless they may not always be feasible or ethical and the researchers have to rely on observational studies or research databases. However, obtaining reliable results from these studies requires the elimination of potential influence of confounding factors. Fortunately, several statistical methods capable of identifying and reducing the impact of confounding factors exist. One of them is the propensity score which has been frequently used in recent times to estimate relevant clinical effects adjusted for given confounders. This work aims to provide a concise and practical guide to propensity scores by means of an easily understandable case study. The case study is focused on gender differences in mortality rates of patients with acute heart failure in the Czech research database AHEAD (Acute Heart Failure Database). Randomized clinical trials represent the gold standard of the evidence based medicine research; nevertheless they may not always be feasible or ethical and the researchers have to rely on observational studies or research databases. However, obtaining reliable results from these studies requires the elimination of potential influence of confounding factors. Fortunately, several statistical methods capable of identifying and reducing the impact of confounding factors exist. One of them is the propensity score which has been frequently used in recent times to estimate relevant clinical effects adjusted for given confounders. This work aims to provide a concise and practical guide to propensity scores by means of an easily understandable case study. The case study is focused on gender differences in mortality rates of patients with acute heart failure in the Czech research database AHEAD (Acute Heart Failure Database).
dcterms:title
Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09 Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09
skos:prefLabel
Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09 Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09
skos:notation
RIV/65269705:_____/13:#0002172!RIV14-MZ0-65269705
n11:predkladatel
n16:ico%3A65269705
n4:aktivita
n5:S n5:P n5:I
n4:aktivity
I, P(ED1.100/02/0123), P(GD102/09/H083), S
n4:cisloPeriodika
4
n4:dodaniDat
n9:2014
n4:domaciTvurceVysledku
n17:5815894 n17:1998218
n4:druhVysledku
n18:J
n4:duvernostUdaju
n15:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
117362
n4:idVysledku
RIV/65269705:_____/13:#0002172
n4:jazykVysledku
n10:eng
n4:klicovaSlova
Acute heart failure; AHEAD; Mortality; Propensity score
n4:klicoveSlovo
n7:Mortality n7:Propensity%20score n7:Acute%20heart%20failure n7:AHEAD
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[96B9C182DF4A]
n4:nazevZdroje
Cor et Vasa
n4:obor
n13:FA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
6
n4:projekt
n8:GD102%2F09%2FH083 n8:ED1.100%2F02%2F0123
n4:rokUplatneniVysledku
n9:2013
n4:svazekPeriodika
55
n4:tvurceVysledku
Špinar, Jindřich Pařenica, Jiří
s:issn
1803-7712
s:numberOfPages
8
n20:doi
10.1016/j.crvasa.2013.04.001