Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Sungduk KIM"'
Autor:
Stella Koutros, Shelley A. Harris, John J. Spinelli, Aaron Blair, John R. McLaughlin, Shelia Hoar Zahm, Sungduk Kim, Paul S. Albert, Linda Kachuri, Manisha Pahwa, Kenneth P. Cantor, Dennis D. Weisenburger, Punam Pahwa, Larissa A. Pardo, James A. Dosman, Paul A. Demers, Laura E. Beane Freeman
Publikováno v:
Environment International, Vol 127, Iss , Pp 199-205 (2019)
Organophosphates and carbamates have been among the most commonly used insecticides, with both agricultural and residential uses. Previous studies have suggested associations of non-Hodgkin lymphoma (NHL) with some of these chemicals; however, many s
Externí odkaz:
https://doaj.org/article/b9db3f1488a1473fa6ed27635caf6e9b
Publikováno v:
Asian Journal of Andrology, Vol 19, Iss 3, Pp 374-381 (2017)
The aim of this study was to evaluate the association between semen quality and the secondary sex ratio (SSR), defined as the ratio of male to female live births. Our study cohort comprised 227 male partners who were enrolled prior to conception in M
Externí odkaz:
https://doaj.org/article/e24406dd2a764ee688fab7cc6f7234e2
Autor:
Sungduk KIM, Hojin LEE
Publikováno v:
Soil and Water Research, Vol 10, Iss 1, Pp 32-39 (2015)
The purpose of this study is to evaluate the behaviour and mechanism of debris flow on various slopes through numerical simulation. The numerical simulation was performed using the Finite Difference Element Method based on the equation of mass conser
Externí odkaz:
https://doaj.org/article/57a4cf45f6124c49a19a152282d3ea84
Autor:
Ruzong Fan, Victoria Chen, Yunlong Xie, Lanlan Yin, Sungduk Kim, Paul S Albert, Bruce Simons-Morton
Publikováno v:
Journal of Circadian Rhythms, Vol 13 (2015)
Background: Longitudinal or time-dependent activity data are useful to characterize the circadian activity patterns and to identify physical activity differences among multiple samples. Statistical methods designed to analyze multiple activity sample
Externí odkaz:
https://doaj.org/article/bba37d16cddc4541b62a500c92a0e706
Publikováno v:
Statistics in Medicine.
Autor:
Melissa C. Friesen, Sarah J. Locke, Jared A. Fisher, Paul S. Albert, Rena R. Jones, Jason Y.Y. Wong, Yonathan Kefelegn, Sungduk Kim
Publikováno v:
Environ Sci Technol Lett
The increasing availability of portable air pollution monitoring devices has greatly enhanced the ability to measure personal exposures in real time. However, these devices vary considerably in their cost and specifications, and questions remain as t
Autor:
M Valancius, Tarek M. Zikry, Hunyong Cho, Michael R. Kosorok, Sungduk Kim, D De Marchi, Helal El-Zaatari, D Bang, Kushal S. Shah
Publikováno v:
Biometrika. 108:529-533
SummaryIn this discussion, we examine the contributions of Qian et al. (2021) and potential applications of the newly developed estimator for the causal excursion effect in binary outcome data. Specifically, we consider extension of their method to c
Publikováno v:
R J
Meta-analysis, a statistical procedure that compares, combines, and synthesizes research findings from multiple studies in a principled manner, has become popular in a variety of fields. Meta-analyses using study-level (or equivalently aggregate) dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9ab5586d529c86557635f8f267e3ba
https://europepmc.org/articles/PMC10168678/
https://europepmc.org/articles/PMC10168678/
Autor:
Katherine L. Grantz, Jagteshwar Grewal, Sungduk Kim, William A. Grobman, Roger B. Newman, John Owen, Anthony Sciscione, Daniel Skupski, Edward K. Chien, Deborah A. Wing, Ronald J. Wapner, Angela C. Ranzini, Michael P. Nageotte, Sabrina Craigo, Stefanie N. Hinkle, Mary E. D’Alton, Dian He, Fasil Tekola-Ayele, Mary L. Hediger, Germaine M. Buck Louis, Cuilin Zhang, Paul S. Albert
Publikováno v:
American journal of obstetrics and gynecology. 227(6)
Autor:
Hao Li, Joseph G. Ibrahim, Arvind Shah, Sungduk Kim, Daeyoung Lim, Jianxin Lin, Ming-Hui Chen
Publikováno v:
Stat Med
Network meta-analysis (NMA) is gaining popularity in evidence synthesis and network meta-regression (NMR) allows us to incorporate potentially important covariates into network meta-analysis. In this paper, we propose a Bayesian network meta-regressi