Results 281 to 290 of about 2,996,820 (336)

Income Inequality in Dental Visits Among Chinese Children: Analysis of Longitudinal Data. [PDF]

Cureus
He Y, Shen A, Sabbah W.
europepmc   +1 more source

TIDAL – Tool to Implement Developmental Analysis of Longitudinal data

Kwong ASF, Edmondson-Stait A, Xu E, Thompson EJ, Parker RMA, Elhakeem A, Romaniuk L, Pearson RM, Tilling K, Eley TC, McIntosh AM, Whalley HC.   +11 more
europepmc   +1 more source

Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data.

JMIR Med Inform
Ehrig M, Bullock GS, Leng XI, Pajewski NM, Speiser JL.   +4 more
europepmc   +1 more source

Progression of biological markers in spinocerebellar ataxia type 3: analysis of longitudinal data from the ESMI cohort

Berger M, Garcia-Moreno H, Ferreira M, Hubener-Schmid J, Schaprian T, Wegner P, Elter T, Teichmann K, Santana MM, Grobe-Einsler M, Onder D, Koyak B, Bernsen S, Pereira de Almeida L, Silva P, Ribeiro JA, Cunha I, Gonzalez-Robles C, Khan S, Heslegrave A, Zetterberg H, Lima M, Raposo M, Ferreira AF, Vasconcelos J, van de Warrenburg BP, van Gaalen J, van Prooije TH, de Vries J, Schols L, Riess O, Synofzik M, Timmann D, Thieme A, Erdlenbruch F, Infante J, Pelayo AL, Manrique L, Reetz K, Dogan I, Oz G, Joers JM, Bushara K, Onyike C, Povazan M, Jacobi H, Schmahmann JD, Ratai E, Schmid M, Giunti P, Klockgether T, Faber J.   +51 more
europepmc   +1 more source

Modeling Nonstationary Longitudinal Data [PDF]

Biometrics, 2000
Summary. An important theme of longitudinal data analysis in the past two decades has been the development and use of explicit parametric models for the data's variance‐covariance structure. A variety of these models have been proposed, of which most are second‐order stationary.
Dale L. Zimmerman, Vicente Núñez-Antón   +1 more
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Median regression for longitudinal data

Statistics in Medicine, 2003
AbstractWe review and compare three estimators of median regression in linear models with longitudinal data. The estimators are constructed based on well‐known ideas of weighting, decorrelating, and the working assumption of independence. Both asymptotic efficiency calculations and finite‐sample Monte Carlo studies are used to assess the performance of
He, X, Fung, WK, Fu, B
openaire   +5 more sources

Longitudinal Data Analysis [PDF]

, 2013
In this essay we review some of the emerging trends in modeling repeated measures data. Three general forms of longitudinal models are discussed: panel model designs, growth curve models, and intensive within-person assessments. Each section discusses design elements that should be considered when using each of these types of longitudinal models, and ...
Todd D. Little, Wei Wu, James P. Selig
openaire   +3 more sources

Analysis of Longitudinal Data

1999
In health-related studies, researchers often collect data from the same unit (or subject) repeatedly over time. Measurements may be taken at different times for different subjects. These are called longitudinal studies. Diggle, Liang, and Zeger (1994) offer an excellent exposition of the issues related to the design of such studies and the analysis of ...
Burton H. Singer, Heping Zhang
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The value of longitudinal data [PDF]

Practice Management, 2019
Steve Bradley, Group Managing Director, Cegedim UK, outlines how data holds the key to better patient care
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Longitudinal data analysis

The Leadership Quarterly, 2002
Abstract Understanding how leaders develop, adapt, and perform over time is central to many theories of leadership. However, for a variety of conceptual and methodological reasons, such longitudinal research remains uncommon in the leadership domain.
Brian C. Holtz, Robert E. Ployhart, Paul D. Bliese   +2 more
openaire   +2 more sources