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Applied Survival Analysis: Regression Modeling of Time to Event Data by David W. Hosmer, Stanley Lemeshow

Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow ebook
Publisher: Wiley-Interscience
ISBN: 0471154105, 9780471154105
Page: 400
Format: djvu

Survival time was measured from the date of surgery to the date of event or last follow-up. Therneau TM, Grambsch PM: Modeling Survival Data: Extending the Cox Model. Product DescriptionTHE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since. Patients alive at the end of the study were censored for the purpose of data analysis. 14 Growth in Cross-Sectional Area of Surviving Trees. Effects on acute prognosis were either evaluated by analyzing ICU mortality or time to death after inclusion. Regression modelling of mortality and time to death data. Hosmer DW, Lemeshow S: Applied Survival Analysis: Regression Modeling of Time to Event Data. Applied survival analysis: Regression modeling of time to event data. 8 Severity and Consequences of Damage. Such data can be presented using different timescales. Demographic Applications of Event History Analysis, Oxford: Clarendon Press. 8 Incidence and Reoccurrence of Damage. Examples of such data arise in diverse fields such as The classical model used to analyze survival times is the Cox proportional hazards regression model. Child Development, 69, 979-990. Intention and knowledge in preschoolers' conception of pretend. Our analysis of survival time used an “accelerated failure-time regression model” to quantify the effect of independent variables on the distribution of survival times (Allison 1995, Hosmer and Lemeshow 1999). (1999) Applied Survival Analysis. New York: Springer-Verlag; 2000:74. Time-to-Event Data More generally, a problem frequently faced by applied statisticians is the analysis of time-to-event data. Regression Modeling of Time to Event Data, New York: Wiley & Sons.