Results 211 to 220 of about 81,085 (257)

Japanese Consensus Document on NexoBrid^®, a Burn Eschar Removal Agent. [PDF]

Eur Burn J
Matsumura H, Ueda T, Ogawa R, Kaita Y, Sakurai H, Soejima K, Sasaki J.   +6 more
europepmc   +1 more source

DPCDI: an artificial intelligent-derived indicator interpreting the diagnostic, stratification, and therapeutic implications of druggability programmed cell death in heart failure. [PDF]

Front Genet
Zhang L, Zhu Y, Fang Y, Yang Y, Yu Y, Wang H, Jiang X, Zhang X, Huang D.   +8 more
europepmc   +1 more source

Mass spectrometry-based proteomic profiling of human tauopathy brains suggests mitochondria-associated alterations. [PDF]

Front Mol Neurosci
Jannah AR, Hasegawa M, Ham J, Hara N, Tsukie T, Obinata A, Kikuchi M, Kasuga K, Yamaguchi H, Hamasaki H, Tada M, Kakita A, Matsumoto M, Miyashita A, Ikeuchi T.   +14 more
europepmc   +1 more source

Econometric Issues on Pseudo Panel Data

Econometric Issues on Pseudo Panel Data
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The Returns to Education in Thailand: A Pseudo-Panel Approach

World Development, 2010
Summary This study employs the pseudo-panel approach for estimating returns to education in Thailand, while treating the endogeneity bias common to estimates from data on individuals. Pseudo-panel data are constructed from repeated cross-sections of Thailand’s National Labor Force Surveys of workers born during 1946–67. Estimates show a downward bias
Robert Mcnown
exaly   +2 more sources

Analysis of pseudo-panel data with dependent samples

Journal of Applied Statistics, 2012
In this paper, we discuss a model for pseudo-panel data when some but not all of the individuals stay in the sample for more than one period. We use data on the labor market of the Basque Country from 1993 to 1999 treated through FORTRAN 77 programing. We construct economically reasonable age cohorts for active population and use gender, qualification ...
Vicente Núñez-Antón, Ainhoa Oguiza Tovar   +1 more
exaly   +2 more sources

Knowledge flows and innovation: a pseudo-panel approach

Applied Economics, 2023
This study investigates whether the effect of vertical and horizontal knowledge sources affect technological innovation for a sample of firms in 10 European countries. The empirical analysis is based on a unique dataset extracted from the Community Innovation Survey for the period 2002 to 2012. Results, using a pseudo-panel approach at country-industry
Biscione, Antonella, Burlina, Chiara, de Felice, Annunziata   +2 more
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Assessing Sampling Error in Pseudo‐Panel Models

Oxford Bulletin of Economics and Statistics, 2021
AbstractWhile pseudo‐panels are useful when only repeated cross‐section data are available, estimates are likely to be attenuated and suffer from sampling error if cell sizes (number of individuals grouped together in a cohort) are too few. However, there is no consensus on how large cell size needs to be, with recommendations ranging from 100 to ...
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