Ask
Search
My library
ORKG

ORKG Ask

Our mission is to organize scholarly knowledge and make it accessible to humans and machines.

About

About ORKG Ask
Report issue
Statistics
Contact

Legal

Terms of use
Data protection (sheet)
Imprint
Accessibility
License

Technical

We
open source
System status
Changelog
Frontend: v1.41.0
Backend: v1.13.4

We use cookies to provide a better user experience.

Data Protection

Result of multiple linear regression analysis using the maximum IOP as a dependent variable.

Fumihiko Mabuchi (94451)
Nakako Mabuchi (4386163)
Yoichi Sakurada (94452)
Seigo Yoneyama (2503747)
Kenji Kashiwagi (94453)
Hiroyuki Iijima (94455)
Zentaro Yamagata (94454)
Mitsuko Takamoto (153461)
Makoto Aihara (153475)
Takeshi Iwata (230562)
Kazuhide Kawase (4386166)
Yukihiro Shiga (724428)
Koji M. Nishiguchi (147632)
Toru Nakazawa (287792)
Mineo Ozaki (531871)
Makoto Araie (88258)

Publication date

August 2017

DOI

10.1371/journal.pone.0183709.t003

Abstract

<p>Result of multiple linear regression analysis using the maximum IOP as a dependent variable.</p

Extracted data

Related items

Multivariate linear regression results with checklist use as the dependant variable.

Michelle C. White (3279246)
Linden S. Baxter (4821747)
Kristin L. Close (4821741)
Vaonandianina A. Ravelojaona (4821759)
Hasiniaina N. Rakotoarison (4821753)
Emily Bruno (4821744)
Alison Herbert (4821750)
Vanessa Andean (4821756)
James Callahan (703665)
Hery H. Andriamanjato (4821738)
Mark G. Shrime (3609239)

February 2018

<p>Multivariate linear regression results with checklist use as the dependant variable.</p

Results of Multiple Regression Analysis.

Abdul Kadar Muhammad Masum (694106)
Md. Abul Kalam Azad (516268)
Loo-See Beh (694107)

February 2015

<p>Note: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001</p><p>Results of Multiple Regression Analys...

Multiple linear regression analysis to explain the relationship between DTI and variables considered.

Alessandro De Cassai (6407660)
Francesco Papaccio (6407663)
Giorgia Betteto (6407666)
Chiara Schiavolin (6407669)
Maurizio Iacobone (566171)
Michele Carron (5484881)

February 2019

Multiple linear regression analysis to explain the relationship between DTI and variables considered...

Multiple Linear Regression Analysis with Serum Phosphorus as the Dependent Variable.

Doron Aronson (388083)
Michael Kapeliovich (388084)
Haim Hammerman (388085)
Robert Dragu (388086)

March 2013

<p>Multiple Linear Regression Analysis with Serum Phosphorus as the Dependent Variable.</p

Multiple linear regression analysis evaluating CANRS as the dependent variable.

Tao Yuan (443733)
Jiapei Li (5814941)
Yong Fu (699744)
Tao Xu (3537)
Juan Li (146180)
Xiangqing Wang (2588506)
Ying Zhou (25031)
Yingyue Dong (5814944)
Weigang Zhao (3525176)

October 2018

Multiple linear regression analysis evaluating CANRS as the dependent variable.</p

Results of the multiple time regression analysis experiment of the five CPP using the linear model.

Sofie Stalmans (443949)
Nathalie Bracke (443951)
Evelien Wynendaele (443950)
Bert Gevaert (443952)
Kathelijne Peremans (296815)
Christian Burvenich (443954)
Ingeborgh Polis (296823)
Bart De Spiegeleer (443955)

October 2015

<p>Results of the multiple time regression analysis experiment of the five CPP using the linear mode...

Results of multiple regression analyses.

Lucie Ménard (586189)
Pamela Trudeau-Fisette (3127155)
Mark Kenneth Tiede (13804806)

September 2022

The dependent variable is the percentage of transmitted information for each feature.</p

Results of the multiple linear regression analysis with the stepwise method in which the maximal ocular surface displacement was the outcome variable.

Ulfah Rimayanti (556514)
Yoshiaki Kiuchi (80320)
Shohei Uemura (556515)
Joji Takenaka (556516)
Hideki Mochizuki (204792)
Makoto Kaneko (435275)

April 2014

<p>Results of the multiple linear regression analysis with the stepwise method in which the maximal ...

Multiple linear regression model having as dependent variable the TDI_score.

Jose Carlos Fernandez-Garcia (586498)
Juan Alcaide (328902)
Concepcion Santiago-Fernandez (3716161)
MM. Roca-Rodriguez (3716170)
Zaida Aguera (3716167)
Rosa Baños (310770)
Cristina Botella (310769)
Rafael de la Torre (125317)
Jose M. Fernandez-Real (3716155)
Gema Fruhbeck (3716158)
Javier Gomez-Ambrosi (3716173)
Susana Jimenez-Murcia (3187032)
Jose M. Menchon (3716152)
Felipe F. Casanueva (130305)
Fernando Fernandez-Aranda (3716164)
Francisco J. Tinahones (141606)
Lourdes Garrido-Sanchez (255921)

February 2017

<p>Multiple linear regression model having as dependent variable the TDI_score.</p

Results obtained for intensity of SEFs using multiple linear regression analysis.

Chihiro Kitayama (13844178)
Eriya Shimada (13844181)
Hiroki Hihara (4112329)
Akitake Kanno (393126)
Nobukazu Nakasato (401401)
Yoshimichi Imai (503312)
Akimitsu Sato (13844184)
Ryuta Kawashima (146994)
Kaoru Igarashi (8164452)
Hiroyasu Kanetaka (724955)

September 2022

Results obtained for intensity of SEFs using multiple linear regression analysis.</p

Results of the multiple linear regression analysis of environmental factors affecting the EE.

Luis Carus (10125582)
Isabel Castillo (5740634)

August 2021

Results of the multiple linear regression analysis of environmental factors affecting the EE.</p

results of the linear regressions for error rates (in %) using the product of the operands as independent variable.

Federico Zimmerman (3607586)
Diego Shalom (3607595)
Pablo A. Gonzalez (3607583)
Juan Manuel Garrido (3607589)
Facundo Alvarez Heduan (3607592)
Stanislas Dehaene (6832)
Mariano Sigman (4629)
Andres Rieznik (388789)

December 2016

<p>results of the linear regressions for error rates (in %) using the product of the operands as ind...

Multiple linear regression analysis with the psychological scale as a dependent variable.

Yukiko Shiro (4344832)
Young-Chang Arai (4344829)
Tatsunori Ikemoto (340549)
Kazuhiro Hayashi (1910749)

August 2017

<p>Multiple linear regression analysis with the psychological scale as a dependent variable.</p

Results of multiple regression analysis between dependent variables (N and P concentrations and N: P ratios) and independent variables (elevation, MAT and MAP).

Zhonglin Xu (438789)
Yapeng Chang (5920346)
Lu Li (14069)
Qinghui Luo (5920349)
Zeyuan Xu (4218331)
Xiaofei Li (334285)
Xuewei Qiao (5920352)
Xinyi Xu (505530)
Xinni Song (5920355)
Yao Wang (102387)
Yue’e Cao (5920358)

November 2018

Results of multiple regression analysis between dependent variables (N and P concentrations and N: P...

Results of multiple regression analysis in the effect of elaboration with creative production score as the objective variable.

Chiaki Ishiguro (13876295)
Yuki Sato (243074)
Ai Takahashi (3525110)
Yuko Abe (2172628)
Etsuko Kato (13876298)
Haruto Takagishi (510743)

September 2022

Results of multiple regression analysis in the effect of elaboration with creative production score ...

Multivariate linear regression results with checklist use as the dependant variable.

Michelle C. White (3279246)
Linden S. Baxter (4821747)
Kristin L. Close (4821741)
Vaonandianina A. Ravelojaona (4821759)
Hasiniaina N. Rakotoarison (4821753)
Emily Bruno (4821744)
Alison Herbert (4821750)
Vanessa Andean (4821756)
James Callahan (703665)
Hery H. Andriamanjato (4821738)
Mark G. Shrime (3609239)

February 2018

<p>Multivariate linear regression results with checklist use as the dependant variable.</p

Results of Multiple Regression Analysis.

Abdul Kadar Muhammad Masum (694106)
Md. Abul Kalam Azad (516268)
Loo-See Beh (694107)

February 2015

<p>Note: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001</p><p>Results of Multiple Regression Analys...

Multiple linear regression analysis to explain the relationship between DTI and variables considered.

Alessandro De Cassai (6407660)
Francesco Papaccio (6407663)
Giorgia Betteto (6407666)
Chiara Schiavolin (6407669)
Maurizio Iacobone (566171)
Michele Carron (5484881)

February 2019

Multiple linear regression analysis to explain the relationship between DTI and variables considered...

Multiple Linear Regression Analysis with Serum Phosphorus as the Dependent Variable.

Doron Aronson (388083)
Michael Kapeliovich (388084)
Haim Hammerman (388085)
Robert Dragu (388086)

March 2013

<p>Multiple Linear Regression Analysis with Serum Phosphorus as the Dependent Variable.</p

Multiple linear regression analysis evaluating CANRS as the dependent variable.

Tao Yuan (443733)
Jiapei Li (5814941)
Yong Fu (699744)
Tao Xu (3537)
Juan Li (146180)
Xiangqing Wang (2588506)
Ying Zhou (25031)
Yingyue Dong (5814944)
Weigang Zhao (3525176)

October 2018

Multiple linear regression analysis evaluating CANRS as the dependent variable.</p

Results of the multiple time regression analysis experiment of the five CPP using the linear model.

Sofie Stalmans (443949)
Nathalie Bracke (443951)
Evelien Wynendaele (443950)
Bert Gevaert (443952)
Kathelijne Peremans (296815)
Christian Burvenich (443954)
Ingeborgh Polis (296823)
Bart De Spiegeleer (443955)

October 2015

<p>Results of the multiple time regression analysis experiment of the five CPP using the linear mode...

Results of multiple regression analyses.

Lucie Ménard (586189)
Pamela Trudeau-Fisette (3127155)
Mark Kenneth Tiede (13804806)

September 2022

The dependent variable is the percentage of transmitted information for each feature.</p

Results of the multiple linear regression analysis with the stepwise method in which the maximal ocular surface displacement was the outcome variable.

Ulfah Rimayanti (556514)
Yoshiaki Kiuchi (80320)
Shohei Uemura (556515)
Joji Takenaka (556516)
Hideki Mochizuki (204792)
Makoto Kaneko (435275)

April 2014

<p>Results of the multiple linear regression analysis with the stepwise method in which the maximal ...

Multiple linear regression model having as dependent variable the TDI_score.

Jose Carlos Fernandez-Garcia (586498)
Juan Alcaide (328902)
Concepcion Santiago-Fernandez (3716161)
MM. Roca-Rodriguez (3716170)
Zaida Aguera (3716167)
Rosa Baños (310770)
Cristina Botella (310769)
Rafael de la Torre (125317)
Jose M. Fernandez-Real (3716155)
Gema Fruhbeck (3716158)
Javier Gomez-Ambrosi (3716173)
Susana Jimenez-Murcia (3187032)
Jose M. Menchon (3716152)
Felipe F. Casanueva (130305)
Fernando Fernandez-Aranda (3716164)
Francisco J. Tinahones (141606)
Lourdes Garrido-Sanchez (255921)

February 2017

<p>Multiple linear regression model having as dependent variable the TDI_score.</p

Results obtained for intensity of SEFs using multiple linear regression analysis.

Chihiro Kitayama (13844178)
Eriya Shimada (13844181)
Hiroki Hihara (4112329)
Akitake Kanno (393126)
Nobukazu Nakasato (401401)
Yoshimichi Imai (503312)
Akimitsu Sato (13844184)
Ryuta Kawashima (146994)
Kaoru Igarashi (8164452)
Hiroyasu Kanetaka (724955)

September 2022

Results obtained for intensity of SEFs using multiple linear regression analysis.</p

Results of the multiple linear regression analysis of environmental factors affecting the EE.

Luis Carus (10125582)
Isabel Castillo (5740634)

August 2021

Results of the multiple linear regression analysis of environmental factors affecting the EE.</p

results of the linear regressions for error rates (in %) using the product of the operands as independent variable.

Federico Zimmerman (3607586)
Diego Shalom (3607595)
Pablo A. Gonzalez (3607583)
Juan Manuel Garrido (3607589)
Facundo Alvarez Heduan (3607592)
Stanislas Dehaene (6832)
Mariano Sigman (4629)
Andres Rieznik (388789)

December 2016

<p>results of the linear regressions for error rates (in %) using the product of the operands as ind...

Multiple linear regression analysis with the psychological scale as a dependent variable.

Yukiko Shiro (4344832)
Young-Chang Arai (4344829)
Tatsunori Ikemoto (340549)
Kazuhiro Hayashi (1910749)

August 2017

<p>Multiple linear regression analysis with the psychological scale as a dependent variable.</p

Results of multiple regression analysis between dependent variables (N and P concentrations and N: P ratios) and independent variables (elevation, MAT and MAP).

Zhonglin Xu (438789)
Yapeng Chang (5920346)
Lu Li (14069)
Qinghui Luo (5920349)
Zeyuan Xu (4218331)
Xiaofei Li (334285)
Xuewei Qiao (5920352)
Xinyi Xu (505530)
Xinni Song (5920355)
Yao Wang (102387)
Yue’e Cao (5920358)

November 2018

Results of multiple regression analysis between dependent variables (N and P concentrations and N: P...

Results of multiple regression analysis in the effect of elaboration with creative production score as the objective variable.

Chiaki Ishiguro (13876295)
Yuki Sato (243074)
Ai Takahashi (3525110)
Yuko Abe (2172628)
Etsuko Kato (13876298)
Haruto Takagishi (510743)

September 2022

Results of multiple regression analysis in the effect of elaboration with creative production score ...

Multivariate linear regression results with checklist use as the dependant variable.

Michelle C. White (3279246)
Linden S. Baxter (4821747)
Kristin L. Close (4821741)
Vaonandianina A. Ravelojaona (4821759)
Hasiniaina N. Rakotoarison (4821753)
Emily Bruno (4821744)
Alison Herbert (4821750)
Vanessa Andean (4821756)
James Callahan (703665)
Hery H. Andriamanjato (4821738)
Mark G. Shrime (3609239)

February 2018

<p>Multivariate linear regression results with checklist use as the dependant variable.</p

Results of Multiple Regression Analysis.

Abdul Kadar Muhammad Masum (694106)
Md. Abul Kalam Azad (516268)
Loo-See Beh (694107)

February 2015

<p>Note: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001</p><p>Results of Multiple Regression Analys...

Multiple linear regression analysis to explain the relationship between DTI and variables considered.

Alessandro De Cassai (6407660)
Francesco Papaccio (6407663)
Giorgia Betteto (6407666)
Chiara Schiavolin (6407669)
Maurizio Iacobone (566171)
Michele Carron (5484881)

February 2019

Multiple linear regression analysis to explain the relationship between DTI and variables considered...