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Biondi-Zoccai et al., 2011 - Google Patents

Are propensity scores really superior to standard multivariable analysis?

Biondi-Zoccai et al., 2011

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Document ID
15970663014068895926
Author
Biondi-Zoccai G
Romagnoli E
Agostoni P
Capodanno D
Castagno D
D'Ascenzo F
Sangiorgi G
Modena M
Publication year
Publication venue
Contemporary clinical trials

External Links

Snippet

Clinicians often face difficult decisions despite the lack of evidence from randomized trials. Thus, clinical evidence is often shaped by non-randomized studies exploiting multivariable approaches to limit the extent of confounding. Since their introduction, propensity scores …
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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06F19/702—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for analysis and planning of chemical reactions and syntheses, e.g. synthesis design, reaction prediction, mechanism elucidation
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    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
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