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Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow
Publisher: Wiley-Interscience

Cox proportional hazards analysis was used to calculate the adjusted relative hazards of a vascular event by each variable. Patients alive at the end of the study were censored for the purpose of data analysis. (2013) Towards Renewed Health Economic Simulation of Type 2 Diabetes: Risk Equations for First and Second Cardiovascular Events from Swedish Register Data. Major collaborations in cerebral palsy and epilepsy. Medical statistics, with special interests in survival analysis, meta-analysis and missing data. The Prentice, Williams, and Peterson gap time model [26 ] was applied to estimate the hazard ratios of first and second CVD events in separate equations. Multilevel survival models are flexible and efficient tools in studying health inequalities of life expectancy or survival time data with a geographic structure of more than 2 levels. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. Demographic Applications of Event History Analysis, Oxford: Clarendon Press. Weibull proportional hazards regression was used to estimate the risk of .. In an analysis of individuals' health inequality based on mortality, Gakidou [12] proposed a measure of total health inequality derived from the beta-binomial regression model, which unified treatment of various measures including the Gini coefficient [13] and other estimates of inequalities. Hosmer DW, Lemeshow S (1999) Applied Survival Analysis. (1999) Applied Survival Analysis. Professor Saul Jacka, Stochastic differential equations. Regression Modeling of Time to Event Data, New York: Wiley & Sons. Applied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Applied survival analysis : regression modeling of time-to-event data R853 .S7 H67 2008. Survival time was measured from the date of surgery to the date of event or last follow-up. Statistical Analysis – Survival Analysis of Follow-up Data.