Applied Survival Analysis: Regression Modeling of Time to Event Data pdf
Par butts william le vendredi, juin 10 2016, 00:16 - Lien permanent
Applied Survival Analysis: Regression Modeling of Time to Event Data. David W. Hosmer, Stanley Lemeshow
Applied.Survival.Analysis.Regression.Modeling.of.Time.to.Event.Data.pdf
ISBN: 0471154105,9780471154105 | 400 pages | 10 Mb
Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow
Publisher: Wiley-Interscience
Applied survival Evaluation: Regression Modeling of Time to Occasion Information. May, Applied Survival Analysis, Regression Modeling of Time-to-Event Data. K Beven, Environmental Modelling: An uncertain Future? Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics). Survival analysis, also identified as event history evaluation, is a class of statistical methods for studying the occurrence and timing survival data have two attributes that are challenging to handle with other statistical methods: censoring and time-dependent covariates. Applied Turbulence Modelling in Marine Waters. Hosmer DW, Lemeshow S: Applied survival analysis: regression modeling of time to event data. New Jersey: Prentice-Hall; 1999:663. The study of events involving an element of time has a long and important history in statistical study and practice. Zar JH: Biostatistical analysis. Applied survival analysis : regression modeling of time-to-event data R853 .S7 H67 2008. Applying Generalized Linear Models. Applied Survival Analysis: Regression Modeling of Time to Event Data. Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability.