Titlebook: Nonparametric Regression Analysis of Longitudinal Data; Hans-Georg Müller Book 1988 Springer-Verlag Berlin Heidelberg 1988 Estimator.Regre

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Hans-Georg Müller variation may be pre­ sent in a single institution study. Patients must be entered in a uniform fashion, data collection and evaluation should be standardized, and there must be a mechanism to insure the timely collection of essential data.978-3-642-81632-1978-3-642-81630-7Series ISSN 0080-0015 Series E-ISSN 2197-6767

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Hans-Georg MüllerThe workshop took place at the University Department of Cardiology, Wilhelmina Gasthuis, Amsterdam, The Netherlands. This is the home ground of one of the most outstanding electro cardiologists of our time, Dr. Dirk Durrer. By pairing genius and originality with endless fund of energy and dogged per

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Introduction,rve describes the time course of some measured quantity like the behavior of blood pressure after exercise or the height growth of children. If, as usual, the single measurements of the quantity made at different time points are noisy, we have to employ a statistical method in order to estimate the

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Longitudinal Data and Regression Models,ime points, each of which requires different methods for analysis. We will be concerned with time course data, i.e. quantitative measurements as they are of interest in growth processes, physiological processes and in the assessment of the time course of a disease by means of laboratory parameters.

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Choice of Global and Local Bandwidths,l least squares estimators this is the choice of the bandwidth, which besides the choice of the correct order of the kernel or polynomial has a strong influence on the quality of the estimate. The smoothing parameter, losely speaking, provides information about the signal-to-noise ratio in the data;