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Outcome assessments in children with cerebral palsy, part I: descriptive characteristics of GMFCS Levels I to III.

, , , , , , , , , , and . Dev Med Child Neurol, 49 (3): 172--180 (March 2007)
DOI: 10.1111/j.1469-8749.2007.00172.x

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Outcome assessments in children with cerebral palsy, part II: discriminatory ability of outcome tools., , , , , , , , , and 1 other author(s). Dev Med Child Neurol, 49 (3): 181--186 (March 2007)Outcome assessments in children with cerebral palsy, part I: descriptive characteristics of GMFCS Levels I to III., , , , , , , , , and 1 other author(s). Dev Med Child Neurol, 49 (3): 172--180 (March 2007)Comparing functional profiles of children with hemiplegic and diplegic cerebral palsy in GMFCS Levels I and II: Are separate classifications needed?, , , , , , , , , and 2 other author(s). Dev Med Child Neurol, 48 (10): 797--803 (October 2006)Effects of ignoring baseline on modeling transitions from intact cognition to dementia., , , and . Comput. Stat. Data Anal., 53 (9): 3334-3343 (2009)Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease., , , , , , , , , and . Comput. Methods Programs Biomed., 114 (2): 153-163 (2014)Poisson limits for a hard-core clustering model, , and . Stochastic Processes and their Applications, 12 (1): 97--106 (October 1981)Hierarchical weighted least squares in the presence of missing data., , and . Model. Assist. Stat. Appl., 2 (3): 125-136 (2007)Feature filter for estimating central mean subspace and its sparse solution., , , and . Comput. Stat. Data Anal., (2021)Contagion distributions for defining disease clustering in time, and . Journal of Statistical Planning and Inference, 78 (1-2): 325--347 (May 1999)Markov transition model to dementia with death as a competing event., , and . Comput. Stat. Data Anal., (2014)