Using Latent Class Mixture Models to Define Sepsis Endotypes
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1
Using Latent Class Mixture Models to Define Sepsis Endotypes (2017)
~EN PB NW RPISBN: 9783330088030 bzw. 3330088036, vermutlich in Englisch, LAP LAMBERT Academic Publishing Mai 2017, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, BuchWeltWeit Ludwig Meier e.K. [57449362], Bergisch Gladbach, Germany.
This item is printed on demand - it takes 3-4 days longer - Neuware -Severe sepsis is associated with high mortality and is a common problem in the United States. Recently, studies have shown that efforts focused on lowering cytokine levels improve survival. The aim of this work is to define sepsis endotypes using longitudinal cytokine measurements. Sepsis endotypes were defined using latent class mixture models. Latent class mixture models were modeled using a natural log transformation of the actual time measurements. No other covariates were modeled and a parameterized link function using a basis of I-splines was chosen over a linear transformation to increase flexibility in the latent class trajectories. The number of latent classes were determined by a combination of the lowest BIC and clinical significance. After creating models for a variety of subsets derived from the source population, it was determined that mortality within a particular trajectory class is not only dependent upon the baseline cytokine value, but also dependent upon the rate of decent after baseline. A class with high baseline cytokine values that decrease quickly has lower mortality rates than classes who do not decline quickly. 52 pp. Englisch, Books.
Von Händler/Antiquariat, BuchWeltWeit Ludwig Meier e.K. [57449362], Bergisch Gladbach, Germany.
This item is printed on demand - it takes 3-4 days longer - Neuware -Severe sepsis is associated with high mortality and is a common problem in the United States. Recently, studies have shown that efforts focused on lowering cytokine levels improve survival. The aim of this work is to define sepsis endotypes using longitudinal cytokine measurements. Sepsis endotypes were defined using latent class mixture models. Latent class mixture models were modeled using a natural log transformation of the actual time measurements. No other covariates were modeled and a parameterized link function using a basis of I-splines was chosen over a linear transformation to increase flexibility in the latent class trajectories. The number of latent classes were determined by a combination of the lowest BIC and clinical significance. After creating models for a variety of subsets derived from the source population, it was determined that mortality within a particular trajectory class is not only dependent upon the baseline cytokine value, but also dependent upon the rate of decent after baseline. A class with high baseline cytokine values that decrease quickly has lower mortality rates than classes who do not decline quickly. 52 pp. Englisch, Books.
2
Using Latent Class Mixture Models to Define Sepsis Endotypes (2017)
~EN PB NW RPISBN: 9783330088030 bzw. 3330088036, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taylor Samantha J.Samantha J. Taylor is a Biostatistician at the University of Pittsburgh s Department of Critical Care Medicine. She holds a Master s Degree in Biostatistics from the University of Pittsburgh. Taylor is a member of t. Books.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taylor Samantha J.Samantha J. Taylor is a Biostatistician at the University of Pittsburgh s Department of Critical Care Medicine. She holds a Master s Degree in Biostatistics from the University of Pittsburgh. Taylor is a member of t. Books.
3
Using Latent Class Mixture Models to Define Sepsis Endotypes (2017)
~EN PB NW FE RPISBN: 9783330088030 bzw. 3330088036, vermutlich in Englisch, 52 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Erstausgabe, Nachdruck.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taylor Samantha J.Samantha J. Taylor is a Biostatistician at the University of Pittsburgh s Department of Critical Care Medicine. She holds a Mas, 2017, Kartoniert / Broschiert, Neuware, Taschenbuch, 96g, 1. Auflage, 52, Banküberweisung, PayPal.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taylor Samantha J.Samantha J. Taylor is a Biostatistician at the University of Pittsburgh s Department of Critical Care Medicine. She holds a Mas, 2017, Kartoniert / Broschiert, Neuware, Taschenbuch, 96g, 1. Auflage, 52, Banküberweisung, PayPal.
4
9783330088030 Using Latent Class Mixture Models to Define Sepsis Endotypes - Sam
DE NWISBN: 9783330088030 bzw. 3330088036, in Deutsch, neu.
Lieferung aus: Italien, Lieferart: Flat, Lieferung: Weltweit, Artikelstandort: Italy.
Von Händler/Antiquariat, cinemamovie.store - CINEMA MOVIE STORE.
Festpreisangebot.
Von Händler/Antiquariat, cinemamovie.store - CINEMA MOVIE STORE.
Festpreisangebot.
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