Logistic regression analysis for numbers of markers corresponding to the risk of presentation with TE ≥12.8kPa in the validation cohort.

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines (n = 276).

Saw Simon (16747422)
Kaung Myat Min (16747425)
Tun Zaw Latt (16747428)
Pa Pa Moe (16747431)
Kyaw Myo Tun (4039922)

August 2023

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.

Seok Hui Kang (707751)
Kyu Hyang Cho (707752)
Jun Young Do (707755)

April 2019

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.</p

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.

Ranveig Marie Boge (5942762)
Arvid Steinar Haugen (5942765)
Roy Miodini Nilsen (5220425)
Stig Harthug (3711319)

November 2018

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.</p

Logistic regression analysis for numbers of markers corresponding to the risk of presentation with TE ≥12.8kPa in the test cohort.

Marcin Krawczyk (258665)
Simone Zimmermann (3841924)
Georg Hess (3841930)
Robert Holz (3841927)
Marc Dauer (3841921)
Jochen Raedle (22857)
Frank Lammert (2875)
Frank Grünhage (340128)

March 2017

Logistic regression analysis for numbers of markers corresponding to the risk of presentation wit...

Logistic regression analysis of the risk factors for a poor response to hyperstimulation#.

Mathilde Bourdon (5076440)
Jade Raad (5646128)
Yaniv Dahan (5646131)
Louis Marcellin (697563)
Chloé Maignien (5076434)
Marc Even (5646134)
Khaled Pocate-Cheriet (5076437)
Marie Charlotte Lamau (5646137)
Pietro Santulli (443960)
Charles Chapron (443963)

August 2018

Logistic regression analysis of the risk factors for a poor response to hyperstimulation#.</p

Logistic Regression Analysis of correlates of detectable viremia>50 copies/mL at T0, multivariable analysis.

Laura Marije Hofstra (651244)
Tania Mudrikova (651245)
Arjen J. Stam (651246)
Sigrid Otto (651247)
Kiki Tesselaar (651248)
Monique Nijhuis (89548)
Annemarie M. J. Wensing (105565)

October 2014

Logistic Regression Analysis of correlates of detectable viremia>50 copies/mL at T0, multivariabl...

Logistic regression analysis of relating probability of completion of treatment to assessment of selected individual TB progression risk factors.

Michael Scolarici (5979566)
Ken Dekitani (5979569)
Ling Chen (25698)
Marcia Sokol-Anderson (5979572)
Daniel F. Hoft (104230)
Soumya Chatterjee (473957)

November 2018

Logistic regression analysis of relating probability of completion of treatment to assessment of sel...

Univariate and multivariate logistic regression analysis of the risk of having an Agatston score >10.

Ana Ludimila Cancela (323412)
Raul Dias Santos (323414)
Silvia Maria Titan (323416)
Patrícia Taschner Goldenstein (323417)
Carlos Eduardo Rochitte (323419)
Pedro Alves Lemos (323421)
Luciene Machado dos Reis (323422)
Fabiana Giorgetti Graciolli (323423)
Vanda Jorgetti (323424)
Rosa Maria Moysés (323426)

February 2013

Univariate and multivariate logistic regression analysis of the risk of having an Agatston score ...

Logistic regression analysis of risk factors for developing TG elevation in N-TG patient group.

Qin Wu (139038)
Min Fu (1322472)
Kexin Zheng (5057567)
Hong Bo (380866)
Hao Yang (328526)
Xi Zhong (4678897)
Guanlin Liang (6029789)
Yujun Xu (196394)
Bibo Hao (512442)
Zhi Hu (114954)
Zhongwei Zhang (649339)
Xiaodong Jin (6029792)
Yan Kang (330940)

November 2018

Logistic regression analysis of risk factors for developing TG elevation in N-TG patient group.</p

Univariate and multivariate analysis by binary logistic regression to calculate significance levels and odds ratios (including 95% confidence intervals) for cancer prediction by the investigated variables.

Dominic Schauer (137474)
Patrick Starlinger (137475)
Christian Reiter (137477)
Nikolaus Jahn (137480)
Philipp Zajc (137483)
Elisabeth Buchberger (137484)
Thomas Bachleitner-Hofmann (137486)
Michael Bergmann (137488)
Anton Stift (137490)
Thomas Gruenberger (137493)
Christine Brostjan (137496)

September 2012

Univariate and multivariate analysis by binary logistic regression to calculate significance leve...

Logistic regression models to assess the association between the putative risk factors and type of delivery for the overall population and the four hospitals.

Carlos Campillo-Artero (4789404)
Miquel Serra-Burriel (4789401)
Andrés Calvo-Pérez (4789407)

January 2018

Logistic regression models to assess the association between the putative risk factors and type o...

Logistic regression as to risk for prediabetes of SNPs per allele (2a) or sum score (2b).

Birgit-Christiane Zyriax (464796)
Ramona Salazar (89909)
Wolfgang Hoeppner (464797)
Eik Vettorazzi (285300)
Christian Herder (44905)
Eberhard Windler (464798)

September 2013

Logistic regression as to risk for prediabetes of SNPs per allele (2a) or sum score (2b).</p

Logistic regression analysis of the probability of cardiac death by (A) age at diagnosis and (B) diagnosis year (shading represents 95% confidence interval).

Laila Gharzai (3152442)
Vivek Verma (575280)
Kyle A. Denniston (529176)
Abhijeet R. Bhirud (3152436)
Nathan R. Bennion (3152439)
Chi Lin (349878)

July 2016

Logistic regression analysis of the probability of cardiac death by (A) age at diagnosis and (B) ...

Logistic regression analysis of risk factors for endoscopic columnar-lined esophagus (N = 8031).

Atsuhiro Masuda (4857223)
Tsuyoshi Fujita (263131)
Manabu Murakami (1786186)
Yukinao Yamazaki (4857244)
Masao Kobayashi (801527)
Shuichi Terao (4857229)
Tsuyoshi Sanuki (4857226)
Akihiko Okada (4857241)
Masayasu Adachi (4857238)
Hideyuki Shiomi (4857220)
Yoshifumi Arisaka (548774)
Hiromu Kutsumi (4857235)
Eiji Umegaki (4857232)
Takeshi Azuma (153452)

February 2018

Logistic regression analysis of risk factors for endoscopic columnar-lined esophagus (N = 8031).<...

Logistic regression analysis of risk factors for mortality in N-TG group patients.

Qin Wu (139038)
Min Fu (1322472)
Kexin Zheng (5057567)
Hong Bo (380866)
Hao Yang (328526)
Xi Zhong (4678897)
Guanlin Liang (6029789)
Yujun Xu (196394)
Bibo Hao (512442)
Zhi Hu (114954)
Zhongwei Zhang (649339)
Xiaodong Jin (6029792)
Yan Kang (330940)

November 2018

Logistic regression analysis of risk factors for mortality in N-TG group patients.</p

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines (n = 276).

Saw Simon (16747422)
Kaung Myat Min (16747425)
Tun Zaw Latt (16747428)
Pa Pa Moe (16747431)
Kyaw Myo Tun (4039922)

August 2023

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.

Seok Hui Kang (707751)
Kyu Hyang Cho (707752)
Jun Young Do (707755)

April 2019

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.</p

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.

Ranveig Marie Boge (5942762)
Arvid Steinar Haugen (5942765)
Roy Miodini Nilsen (5220425)
Stig Harthug (3711319)

November 2018

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.</p

Logistic regression analysis for numbers of markers corresponding to the risk of presentation with TE ≥12.8kPa in the test cohort.

Marcin Krawczyk (258665)
Simone Zimmermann (3841924)
Georg Hess (3841930)
Robert Holz (3841927)
Marc Dauer (3841921)
Jochen Raedle (22857)
Frank Lammert (2875)
Frank Grünhage (340128)

March 2017

Logistic regression analysis for numbers of markers corresponding to the risk of presentation wit...

Logistic regression analysis of the risk factors for a poor response to hyperstimulation#.

Mathilde Bourdon (5076440)
Jade Raad (5646128)
Yaniv Dahan (5646131)
Louis Marcellin (697563)
Chloé Maignien (5076434)
Marc Even (5646134)
Khaled Pocate-Cheriet (5076437)
Marie Charlotte Lamau (5646137)
Pietro Santulli (443960)
Charles Chapron (443963)

August 2018

Logistic regression analysis of the risk factors for a poor response to hyperstimulation#.</p

Logistic Regression Analysis of correlates of detectable viremia>50 copies/mL at T0, multivariable analysis.

Laura Marije Hofstra (651244)
Tania Mudrikova (651245)
Arjen J. Stam (651246)
Sigrid Otto (651247)
Kiki Tesselaar (651248)
Monique Nijhuis (89548)
Annemarie M. J. Wensing (105565)

October 2014

Logistic Regression Analysis of correlates of detectable viremia>50 copies/mL at T0, multivariabl...

Logistic regression analysis of relating probability of completion of treatment to assessment of selected individual TB progression risk factors.

Michael Scolarici (5979566)
Ken Dekitani (5979569)
Ling Chen (25698)
Marcia Sokol-Anderson (5979572)
Daniel F. Hoft (104230)
Soumya Chatterjee (473957)

November 2018

Logistic regression analysis of relating probability of completion of treatment to assessment of sel...

Univariate and multivariate logistic regression analysis of the risk of having an Agatston score >10.

Ana Ludimila Cancela (323412)
Raul Dias Santos (323414)
Silvia Maria Titan (323416)
Patrícia Taschner Goldenstein (323417)
Carlos Eduardo Rochitte (323419)
Pedro Alves Lemos (323421)
Luciene Machado dos Reis (323422)
Fabiana Giorgetti Graciolli (323423)
Vanda Jorgetti (323424)
Rosa Maria Moysés (323426)

February 2013

Univariate and multivariate logistic regression analysis of the risk of having an Agatston score ...

Logistic regression analysis of risk factors for developing TG elevation in N-TG patient group.

Qin Wu (139038)
Min Fu (1322472)
Kexin Zheng (5057567)
Hong Bo (380866)
Hao Yang (328526)
Xi Zhong (4678897)
Guanlin Liang (6029789)
Yujun Xu (196394)
Bibo Hao (512442)
Zhi Hu (114954)
Zhongwei Zhang (649339)
Xiaodong Jin (6029792)
Yan Kang (330940)

November 2018

Logistic regression analysis of risk factors for developing TG elevation in N-TG patient group.</p

Univariate and multivariate analysis by binary logistic regression to calculate significance levels and odds ratios (including 95% confidence intervals) for cancer prediction by the investigated variables.

Dominic Schauer (137474)
Patrick Starlinger (137475)
Christian Reiter (137477)
Nikolaus Jahn (137480)
Philipp Zajc (137483)
Elisabeth Buchberger (137484)
Thomas Bachleitner-Hofmann (137486)
Michael Bergmann (137488)
Anton Stift (137490)
Thomas Gruenberger (137493)
Christine Brostjan (137496)

September 2012

Univariate and multivariate analysis by binary logistic regression to calculate significance leve...

Logistic regression models to assess the association between the putative risk factors and type of delivery for the overall population and the four hospitals.

Carlos Campillo-Artero (4789404)
Miquel Serra-Burriel (4789401)
Andrés Calvo-Pérez (4789407)

January 2018

Logistic regression models to assess the association between the putative risk factors and type o...

Logistic regression as to risk for prediabetes of SNPs per allele (2a) or sum score (2b).

Birgit-Christiane Zyriax (464796)
Ramona Salazar (89909)
Wolfgang Hoeppner (464797)
Eik Vettorazzi (285300)
Christian Herder (44905)
Eberhard Windler (464798)

September 2013

Logistic regression as to risk for prediabetes of SNPs per allele (2a) or sum score (2b).</p

Logistic regression analysis of the probability of cardiac death by (A) age at diagnosis and (B) diagnosis year (shading represents 95% confidence interval).

Laila Gharzai (3152442)
Vivek Verma (575280)
Kyle A. Denniston (529176)
Abhijeet R. Bhirud (3152436)
Nathan R. Bennion (3152439)
Chi Lin (349878)

July 2016

Logistic regression analysis of the probability of cardiac death by (A) age at diagnosis and (B) ...

Logistic regression analysis of risk factors for endoscopic columnar-lined esophagus (N = 8031).

Atsuhiro Masuda (4857223)
Tsuyoshi Fujita (263131)
Manabu Murakami (1786186)
Yukinao Yamazaki (4857244)
Masao Kobayashi (801527)
Shuichi Terao (4857229)
Tsuyoshi Sanuki (4857226)
Akihiko Okada (4857241)
Masayasu Adachi (4857238)
Hideyuki Shiomi (4857220)
Yoshifumi Arisaka (548774)
Hiromu Kutsumi (4857235)
Eiji Umegaki (4857232)
Takeshi Azuma (153452)

February 2018

Logistic regression analysis of risk factors for endoscopic columnar-lined esophagus (N = 8031).<...

Logistic regression analysis of risk factors for mortality in N-TG group patients.

Qin Wu (139038)
Min Fu (1322472)
Kexin Zheng (5057567)
Hong Bo (380866)
Hao Yang (328526)
Xi Zhong (4678897)
Guanlin Liang (6029789)
Yujun Xu (196394)
Bibo Hao (512442)
Zhi Hu (114954)
Zhongwei Zhang (649339)
Xiaodong Jin (6029792)
Yan Kang (330940)

November 2018

Logistic regression analysis of risk factors for mortality in N-TG group patients.</p

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines (n = 276).

Saw Simon (16747422)
Kaung Myat Min (16747425)
Tun Zaw Latt (16747428)
Pa Pa Moe (16747431)
Kyaw Myo Tun (4039922)

August 2023

Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.

Seok Hui Kang (707751)
Kyu Hyang Cho (707752)
Jun Young Do (707755)

April 2019

Logistic regression analyses of cardiometabolic risks according to periodontitis severity.</p

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.

Ranveig Marie Boge (5942762)
Arvid Steinar Haugen (5942765)
Roy Miodini Nilsen (5220425)
Stig Harthug (3711319)

November 2018

Logistic regression analyses of factors correlated to readmission (n = 270) ᵃ.</p

Logistic regression analysis for numbers of markers corresponding to the risk of presentation with TE ≥12.8kPa in the validation cohort.

Abstract

Extracted data

Logistic regression analysis for numbers of markers corresponding to the risk of presentation with TE ≥12.8kPa in the validation cohort.

Abstract

Extracted data

Related items

Related items