Articles with "score adjusted" as a keyword



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Outcome of intra-arterial thrombolysis in patients with diabetes and acute lower limb ischemia: a propensity score adjusted analysis

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Published in 2017 at "Journal of Thrombosis and Thrombolysis"

DOI: 10.1007/s11239-017-1563-4

Abstract: The presence of diabetes mellitus is rarely addressed in acute lower limb ischaemia (ALLI). The aim of this study was to evaluate the outcome of local intra-arterial thrombolysis for ALLI in patients with diabetes mellitus… read more here.

Keywords: arterial thrombolysis; adjusted analysis; thrombolysis; propensity score ... See more keywords
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Outcome of thrombus aspiration in STEMI patients: a propensity score-adjusted study

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Published in 2017 at "Journal of Thrombosis and Thrombolysis"

DOI: 10.1007/s11239-017-1601-2

Abstract: The use of thrombus aspiration (TA) prior to primary percutaneous coronary intervention (PPCI) has undergone a radical change in intervention guidelines. The clinical implications, however, are still under scrutiny. This study investigated the clinical effects… read more here.

Keywords: thrombus aspiration; study; mortality; propensity score ... See more keywords
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High-Dimensional Propensity Score-Adjusted Case-Crossover for Discovering Adverse Drug Reactions from Computerized Administrative Healthcare Databases

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Published in 2022 at "Drug Safety"

DOI: 10.1007/s40264-022-01148-5

Abstract: Increasing availability of medico-administrative databases has prompted the development of automated pharmacovigilance signal detection methodologies. Self-controlled approaches have recently been proposed. They account for time-independent confounding factors that may not be recorded. So far, large… read more here.

Keywords: propensity score; case; case crossover; score adjusted ... See more keywords
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An evaluation of bias in propensity score-adjusted non-linear regression models

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Published in 2018 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280216643739

Abstract: Propensity score methods are commonly used to adjust for observed confounding when estimating the conditional treatment effect in observational studies. One popular method, covariate adjustment of the propensity score in a regression model, has been… read more here.

Keywords: regression; non linear; propensity score; propensity ... See more keywords