Catálogo de publicaciones - libros
Evidence-Based Management of Patients with Respiratory Failure
Andrés Esteban ; Deborah J. Cook ; Antonio Anzueto (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Intensive / Critical Care Medicine
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2004 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-20947-8
ISBN electrónico
978-3-540-27314-1
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2004
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2004
Cobertura temática
Tabla de contenidos
Acute Exacerbation of Chronic Obstructive Pulmonary Diseases: What is the impact of bronchodilators, corticosteroids and antibiotics?
A. Anzueto
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 79-97
Ventilator-associated Pneumonia: What are the Accuracies and the Consequences of Different Diagnostic Methods
A. Torres; S. Ewig
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 99-107
Are the Most Simple Methods Still Useful in Preventing Respiratory Infections?
E. Girou
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 109-119
Tracheostomy in Patients with Respiratory Failure Receiving Mechanical Ventilation: How, when, and for whom?
C. Apezteguia; F. Ríos; D. Pezzola
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 121-134
The Use of Sedation and Neuromuscular Blockade: The Effect on Clinical Outcome
B. De Jonghe; B. Plaud; H. Outin
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 135-142
Current Clinical Trials in Acute Lung Injury
M. O. Meade; K. E. Burns; N. Adhikari
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 143-148
Novel Advancements in the Management and Diagnosis of Acute Respiratory Failure
C. C. dos Santos; A. S. Slutsky
The fact that perfect foresight is possible in a random environment of an exchange economy seems to have been overlooked in the literature. This chapter demonstrates that forecasting rules which generate perfect foresight exist under standard assumptions. Using the methodology of Chapter 5, these socalled perfect forecasting rules can successfully be estimated from historical data by means of nonparametric estimations. The censoring of the approximated forecasting rules assures that the system is kept stable at all stages of the estimation procedure and that the resulting process satisfies the necessary stochastic properties. It should be noted that the method required neither the existence of a perfect forecasting rule nor its contraction property.
Pp. 149-166