Multivariable linear regression model to estimate associations with retinal nerve fiber layer thickness in the Gutenberg Health Study.

The relationship between retinal layer thickness measurements and mTH (all thickness measurements were analyzed in the same linear model).

Ryo Asaoka (387326)
Hiroshi Murata (387321)
Mieko Yanagisawa (3140205)
Yuri Fujino (4509373)
Masato Matsuura (3043017)
Tatsuya Inoue (2031706)
Kenji Inoue (306531)
Junkichi Yamagami (4509376)

October 2017

The relationship between retinal layer thickness measurements and mTH (all thickness measurements...

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and Ocular and systemic Parameters in the Beijing Eye Study 2006.

Yaqin Zhang (408075)
Liang Xu (102656)
Li Zhang (8200)
Hua Yang (120668)
Ya Xing Wang (310734)
Jost B. Jonas (291825)

April 2013

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and O...

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Right Eye), and Non Ocular and Ocular Parameters in the Shandong Children Eye Study.

Yue Ying Zhang (689684)
Wen Jun Jiang (689685)
Zhao E. Teng (689686)
Jian Feng Wu (501686)
Yuan Yuan Hu (169305)
Tai Liang Lu (501689)
Hui Wu (219526)
Wei Sun (93580)
Xing Rong Wang (501690)
Hong Sheng Bi (501687)
Jost B. Jonas (291825)

February 2015

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Ri...

Univariate and multivariate linear regression analyses between various clinical factors and peripapillary retinal nerve fiber layer thickness.

Min-Woo Lee (1829035)
Hyung-Bin Lim (8496171)
Hyung-Moon Koo (9028706)
Young-Hoon Lee (533185)
Jung-Yeul Kim (6439670)

August 2021

Univariate and multivariate linear regression analyses between various clinical factors and peripapi...

Best fitting model to predict global retinal nerve fiber layer thickness in the Gutenberg Health Study.

Julia Lamparter (383451)
Irene Schmidtmann (431243)
Alexander K. Schuster (841118)
Angeliki Siouli (5249678)
Joanna Wasielica-Poslednik (789883)
Alireza Mirshahi (440263)
René Höhn (702653)
Josef Unterrainer (5249681)
Philipp S. Wild (112751)
Harald Binder (39439)
Karl Lackner (146206)
Manfred E. Beutel (431246)
Thomas Münzel (2795104)
Norbert Pfeiffer (26543)
Esther M. Hoffmann (383454)

May 2018

Best fitting model to predict global retinal nerve fiber layer thickness in the Gutenberg Health ...

Univariate and multivariate stepwise linear regression analysis for determining peripapillary retinal nerve fiber layer thickness in patients with diabetes.

Hyun Seung Yang (3692362)
June-Gone Kim (4518217)
Jae Bong Cha (4518220)
Young In Yun (4518214)
Jong Hoon Park (513718)
Jong Eun Woo (3692365)

October 2017

Univariate and multivariate stepwise linear regression analysis for determining peripapillary ret...

Multivariable regression models evaluating the relationship between minimum rim width (MRW) and peripapillary retinal nerve fiber layer thickness (RNFLT) and covariates by racial group.

Camila S. Zangalli (6095888)
Jayme R. Vianna (6095891)
Alexandre S. C. Reis (6095894)
Jamil Miguel-Neto (6095897)
Claude F. Burgoyne (476921)
Balwantray C. Chauhan (317925)
Vital P. Costa (740069)

December 2018

Multivariable regression models evaluating the relationship between minimum rim width (MRW) and peri...

Linear regression model analysis for the retinal nerve fiber layer in the optic neuritis-affected eye compared to the unaffected eye (in %).

Adi Wilf-Yarkoni (14672849)
Kristina Feldmann (14672804)
Kerstin Rubarth (11783812)
Eva-Maria Dorsch (17599095)
Rebekka Rust (11267088)
Ilia Urman (17599098)
Mark A. Hellmann (12333182)
Yitzhak Friedman (17599101)
Itay Lotan (715049)
Omer Bialer (3709399)
Gilberto Solorza Buenrostro (17599104)
Hanna G. Zimmermann (8038136)
Carla Leutloff (17599107)
Tanja Schmitz-Hübsch (3353150)
Friedemann Paul (25657)
Susanna Asseyer (5705573)
Hadas Stiebel-Kalish (3709396)

December 2023

Linear regression model analysis for the retinal nerve fiber layer in the optic neuritis-affected ey...

Multivariable regression model evaluating the relationship between sectorial Minimum Rim Width (MRW) and peripapillary retinal nerve fiber layer thickness (RNFLT), adjusted for Bruch’s membrane opening (BMO) area, age and race.

Camila S. Zangalli (6095888)
Jayme R. Vianna (6095891)
Alexandre S. C. Reis (6095894)
Jamil Miguel-Neto (6095897)
Claude F. Burgoyne (476921)
Balwantray C. Chauhan (317925)
Vital P. Costa (740069)

December 2018

Partial R squared estimating the relative importance of each predictor are given.</p

Univariate linear regression analysis of demographics and clinical variables: effect on average macular ganglion cell-inner plexiform layer thickness.

Jin A. Choi (559035)
Jung-Sub Kim (2504758)
Hyun Jin Jeong (254251)
Jin Ah Lee (1612468)
Chan Kee Park (698195)

February 2016

Univariate linear regression analysis of demographics and clinical variables: effect on average m...

The relationship between retinal layer thickness measurements and mTH (each thickness was analyzed in a separate linear model).

Ryo Asaoka (387326)
Hiroshi Murata (387321)
Mieko Yanagisawa (3140205)
Yuri Fujino (4509373)
Masato Matsuura (3043017)
Tatsuya Inoue (2031706)
Kenji Inoue (306531)
Junkichi Yamagami (4509376)

October 2017

The relationship between retinal layer thickness measurements and mTH (each thickness was analyze...

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Layer Defects and Ocular Parameters (Including Overall Retinal Nerve Fiber Layer Thickness) and Systemic Parameters in the Beijing Eye Study 2011.

Liang Zhao (94728)
Ya Xing Wang (310734)
Wei Zhang (405)
Jing Shang Zhang (435486)
Chang Xi Chen (395178)
Liang Xu (102656)
Jost B. Jonas (291825)

July 2013

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Laye...

Simple linear regression between age and mean retinal layer thickness and volume for the study population of 297 subjects.

María Nieves-Moreno (4225642)
José M. Martínez-de-la-Casa (53414)
Laura Morales-Fernández (4225651)
Rubén Sánchez-Jean (4926220)
Federico Sáenz-Francés (4225645)
Julián García-Feijoó (4225633)

March 2018

Simple linear regression between age and mean retinal layer thickness and volume for the study po...

Simple linear regression between age and retinal layer thickness of the central, inner and outer circle for the study population of 297 subjects.

María Nieves-Moreno (4225642)
José M. Martínez-de-la-Casa (53414)
Laura Morales-Fernández (4225651)
Rubén Sánchez-Jean (4926220)
Federico Sáenz-Francés (4225645)
Julián García-Feijoó (4225633)

March 2018

Simple linear regression between age and retinal layer thickness of the central, inner and outer ...

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Layer Defects and Ocular and systemic Parameters in the Beijing Eye Study 2006.

Yaqin Zhang (408075)
Liang Xu (102656)
Li Zhang (8200)
Hua Yang (120668)
Ya Xing Wang (310734)
Jost B. Jonas (291825)

April 2013

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Laye...

The relationship between retinal layer thickness measurements and mTH (all thickness measurements were analyzed in the same linear model).

Ryo Asaoka (387326)
Hiroshi Murata (387321)
Mieko Yanagisawa (3140205)
Yuri Fujino (4509373)
Masato Matsuura (3043017)
Tatsuya Inoue (2031706)
Kenji Inoue (306531)
Junkichi Yamagami (4509376)

October 2017

The relationship between retinal layer thickness measurements and mTH (all thickness measurements...

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and Ocular and systemic Parameters in the Beijing Eye Study 2006.

Yaqin Zhang (408075)
Liang Xu (102656)
Li Zhang (8200)
Hua Yang (120668)
Ya Xing Wang (310734)
Jost B. Jonas (291825)

April 2013

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and O...

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Right Eye), and Non Ocular and Ocular Parameters in the Shandong Children Eye Study.

Yue Ying Zhang (689684)
Wen Jun Jiang (689685)
Zhao E. Teng (689686)
Jian Feng Wu (501686)
Yuan Yuan Hu (169305)
Tai Liang Lu (501689)
Hui Wu (219526)
Wei Sun (93580)
Xing Rong Wang (501690)
Hong Sheng Bi (501687)
Jost B. Jonas (291825)

February 2015

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Ri...

Univariate and multivariate linear regression analyses between various clinical factors and peripapillary retinal nerve fiber layer thickness.

Min-Woo Lee (1829035)
Hyung-Bin Lim (8496171)
Hyung-Moon Koo (9028706)
Young-Hoon Lee (533185)
Jung-Yeul Kim (6439670)

August 2021

Univariate and multivariate linear regression analyses between various clinical factors and peripapi...

Best fitting model to predict global retinal nerve fiber layer thickness in the Gutenberg Health Study.

Julia Lamparter (383451)
Irene Schmidtmann (431243)
Alexander K. Schuster (841118)
Angeliki Siouli (5249678)
Joanna Wasielica-Poslednik (789883)
Alireza Mirshahi (440263)
René Höhn (702653)
Josef Unterrainer (5249681)
Philipp S. Wild (112751)
Harald Binder (39439)
Karl Lackner (146206)
Manfred E. Beutel (431246)
Thomas Münzel (2795104)
Norbert Pfeiffer (26543)
Esther M. Hoffmann (383454)

May 2018

Best fitting model to predict global retinal nerve fiber layer thickness in the Gutenberg Health ...

Univariate and multivariate stepwise linear regression analysis for determining peripapillary retinal nerve fiber layer thickness in patients with diabetes.

Hyun Seung Yang (3692362)
June-Gone Kim (4518217)
Jae Bong Cha (4518220)
Young In Yun (4518214)
Jong Hoon Park (513718)
Jong Eun Woo (3692365)

October 2017

Univariate and multivariate stepwise linear regression analysis for determining peripapillary ret...

Multivariable regression models evaluating the relationship between minimum rim width (MRW) and peripapillary retinal nerve fiber layer thickness (RNFLT) and covariates by racial group.

Camila S. Zangalli (6095888)
Jayme R. Vianna (6095891)
Alexandre S. C. Reis (6095894)
Jamil Miguel-Neto (6095897)
Claude F. Burgoyne (476921)
Balwantray C. Chauhan (317925)
Vital P. Costa (740069)

December 2018

Multivariable regression models evaluating the relationship between minimum rim width (MRW) and peri...

Linear regression model analysis for the retinal nerve fiber layer in the optic neuritis-affected eye compared to the unaffected eye (in %).

Adi Wilf-Yarkoni (14672849)
Kristina Feldmann (14672804)
Kerstin Rubarth (11783812)
Eva-Maria Dorsch (17599095)
Rebekka Rust (11267088)
Ilia Urman (17599098)
Mark A. Hellmann (12333182)
Yitzhak Friedman (17599101)
Itay Lotan (715049)
Omer Bialer (3709399)
Gilberto Solorza Buenrostro (17599104)
Hanna G. Zimmermann (8038136)
Carla Leutloff (17599107)
Tanja Schmitz-Hübsch (3353150)
Friedemann Paul (25657)
Susanna Asseyer (5705573)
Hadas Stiebel-Kalish (3709396)

December 2023

Linear regression model analysis for the retinal nerve fiber layer in the optic neuritis-affected ey...

Multivariable regression model evaluating the relationship between sectorial Minimum Rim Width (MRW) and peripapillary retinal nerve fiber layer thickness (RNFLT), adjusted for Bruch’s membrane opening (BMO) area, age and race.

Camila S. Zangalli (6095888)
Jayme R. Vianna (6095891)
Alexandre S. C. Reis (6095894)
Jamil Miguel-Neto (6095897)
Claude F. Burgoyne (476921)
Balwantray C. Chauhan (317925)
Vital P. Costa (740069)

December 2018

Partial R squared estimating the relative importance of each predictor are given.</p

Univariate linear regression analysis of demographics and clinical variables: effect on average macular ganglion cell-inner plexiform layer thickness.

Jin A. Choi (559035)
Jung-Sub Kim (2504758)
Hyun Jin Jeong (254251)
Jin Ah Lee (1612468)
Chan Kee Park (698195)

February 2016

Univariate linear regression analysis of demographics and clinical variables: effect on average m...

The relationship between retinal layer thickness measurements and mTH (each thickness was analyzed in a separate linear model).

Ryo Asaoka (387326)
Hiroshi Murata (387321)
Mieko Yanagisawa (3140205)
Yuri Fujino (4509373)
Masato Matsuura (3043017)
Tatsuya Inoue (2031706)
Kenji Inoue (306531)
Junkichi Yamagami (4509376)

October 2017

The relationship between retinal layer thickness measurements and mTH (each thickness was analyze...

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Layer Defects and Ocular Parameters (Including Overall Retinal Nerve Fiber Layer Thickness) and Systemic Parameters in the Beijing Eye Study 2011.

Liang Zhao (94728)
Ya Xing Wang (310734)
Wei Zhang (405)
Jing Shang Zhang (435486)
Chang Xi Chen (395178)
Liang Xu (102656)
Jost B. Jonas (291825)

July 2013

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Laye...

Simple linear regression between age and mean retinal layer thickness and volume for the study population of 297 subjects.

María Nieves-Moreno (4225642)
José M. Martínez-de-la-Casa (53414)
Laura Morales-Fernández (4225651)
Rubén Sánchez-Jean (4926220)
Federico Sáenz-Francés (4225645)
Julián García-Feijoó (4225633)

March 2018

Simple linear regression between age and mean retinal layer thickness and volume for the study po...

Simple linear regression between age and retinal layer thickness of the central, inner and outer circle for the study population of 297 subjects.

María Nieves-Moreno (4225642)
José M. Martínez-de-la-Casa (53414)
Laura Morales-Fernández (4225651)
Rubén Sánchez-Jean (4926220)
Federico Sáenz-Francés (4225645)
Julián García-Feijoó (4225633)

March 2018

Simple linear regression between age and retinal layer thickness of the central, inner and outer ...

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Layer Defects and Ocular and systemic Parameters in the Beijing Eye Study 2006.

Yaqin Zhang (408075)
Liang Xu (102656)
Li Zhang (8200)
Hua Yang (120668)
Ya Xing Wang (310734)
Jost B. Jonas (291825)

April 2013

Associations (Multivariate Analysis) between the Prevalence of Localized Retinal Nerve Fiber Laye...

The relationship between retinal layer thickness measurements and mTH (all thickness measurements were analyzed in the same linear model).

Ryo Asaoka (387326)
Hiroshi Murata (387321)
Mieko Yanagisawa (3140205)
Yuri Fujino (4509373)
Masato Matsuura (3043017)
Tatsuya Inoue (2031706)
Kenji Inoue (306531)
Junkichi Yamagami (4509376)

October 2017

The relationship between retinal layer thickness measurements and mTH (all thickness measurements...

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and Ocular and systemic Parameters in the Beijing Eye Study 2006.

Yaqin Zhang (408075)
Liang Xu (102656)
Li Zhang (8200)
Hua Yang (120668)
Ya Xing Wang (310734)
Jost B. Jonas (291825)

April 2013

Associations (Multivariate Analysis) between the Retinal Nerve Fiber Layer Visibility Score and O...

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Right Eye), and Non Ocular and Ocular Parameters in the Shandong Children Eye Study.

Yue Ying Zhang (689684)
Wen Jun Jiang (689685)
Zhao E. Teng (689686)
Jian Feng Wu (501686)
Yuan Yuan Hu (169305)
Tai Liang Lu (501689)
Hui Wu (219526)
Wei Sun (93580)
Xing Rong Wang (501690)
Hong Sheng Bi (501687)
Jost B. Jonas (291825)

February 2015

Multivariate Linear Regression Analysis of Associations Between Corneal Curvature Radius (mm) (Ri...

Multivariable linear regression model to estimate associations with retinal nerve fiber layer thickness in the Gutenberg Health Study.

Abstract

Extracted data

Multivariable linear regression model to estimate associations with retinal nerve fiber layer thickness in the Gutenberg Health Study.

Abstract

Extracted data

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