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POLYNOMIALS WITH ASYMPTOTES FOR LONGITUDINAL DATA
Statistics in Medicine, 1996I use Laguerre polynomials to model growth curves or time--response curves known to approach an asymptote as time approaches infinity. An example is with measurements on a variable or variables from subjects recovering from surgery. These variables can often vary in a non-monotonic fashion for which a functional form of the curve is unknown.
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2021
Longitudinal data is in fact a special type of multi-level data where repeated longitudinal data points can be observed for each individual. In this situation, the repeated longitudinal data points can be viewed as nested within each individual, and subsequently, the individuals can be nested within classrooms, and classrooms can be further nested ...
Ding-Geng Chen, Jenny K. Chen
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Longitudinal data is in fact a special type of multi-level data where repeated longitudinal data points can be observed for each individual. In this situation, the repeated longitudinal data points can be viewed as nested within each individual, and subsequently, the individuals can be nested within classrooms, and classrooms can be further nested ...
Ding-Geng Chen, Jenny K. Chen
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2006
Over the last three decades of the 20 th century, longitudinal research designs, in which the same people or other units of observation are measured repeatedly over time, have become social sciences' most powerful tools for studying cause and consequence. By measuring the same people over time, social scientists can better understand how conditions or
Lisa D. Pearce, William G. Axinn
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Over the last three decades of the 20 th century, longitudinal research designs, in which the same people or other units of observation are measured repeatedly over time, have become social sciences' most powerful tools for studying cause and consequence. By measuring the same people over time, social scientists can better understand how conditions or
Lisa D. Pearce, William G. Axinn
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Journal of the American Statistical Association, 2007
(2007). Longitudinal Data Analysis. Journal of the American Statistical Association: Vol. 102, No. 479, pp. 1075-1075.
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(2007). Longitudinal Data Analysis. Journal of the American Statistical Association: Vol. 102, No. 479, pp. 1075-1075.
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Dropouts in Longitudinal Data. [PDF]
, 2005 Different types of nonresponse threaten the validity of longitudinal studies: First, the initial nonresponse during the recruitment in the base-line survey; Second, successive dropout at each time point. In this entry, specific attention is given to dropout and strategies to limit the problem. Dropout in longitudinal surveys has three separate sources:
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The Analysis of Longitudinal Data
2001Studies in which patients are observed on several occasions over a period of time are particularly common in medical research. Most clinical trials, for example, are of this format. The characteristic feature of such studies is that multiple measurements of a response variable are obtained at a set of time points for each participant in the study ...
Sophia Rabe-Hesketh, Brian Everitt
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2012
Longitudinal studies are quite common in modern clinical trials and cohort studies. Unlike cross-sectional designs, where observations from study subjects are available only at a single time point, individuals in longitudinal or cohort studies are assessed repeatedly over time.
Naiji Lu, Rui Chen, Hui Zhang, Wan Tang
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Longitudinal studies are quite common in modern clinical trials and cohort studies. Unlike cross-sectional designs, where observations from study subjects are available only at a single time point, individuals in longitudinal or cohort studies are assessed repeatedly over time.
Naiji Lu, Rui Chen, Hui Zhang, Wan Tang
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