Univariate logistic regression analysis for factors associated with survival of 7 days or less.

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters using logistic regression analysis.

Mauro Panigada (4773642)
Lucia Zacchetti (787953)
Camilla L’Acqua (787954)
Massimo Cressoni (20706)
Massimo Boscolo Anzoletti (787955)
Rossella Bader (787956)
Alessandro Protti (558215)
Dario Consonni (89283)
Armando D’Angelo (155970)
Luciano Gattinoni (8578)

August 2015

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters usi...

A: binary logistic regression for Death within 7 days (EDd7). B: binary logistic regression for Death within 7 days (EDd7).

Friederike Pastore (532228)
Alessandro Pastore (551364)
Georg Wittmann (551365)
Wolfgang Hiddemann (139376)
Karsten Spiekermann (532234)

April 2014

9A: Therapeutic leukapheresis did not impact on the early death rate when the early death ...

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.

Eishi Uechi (5130875)
Masato Okada (189456)
Kiyohide Fushimi (652788)

April 2018

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.</p

Multivariate logistic regression analysis of factors associated with survival of 7 days or less.

Jui-Kun Chiang (436041)
Terry B. J. Kuo (322192)
Chin-Hua Fu (436042)
Malcolm Koo (436043)

July 2013

OR: odds ratio, 95% CI: 95% confidence interval, lnHFP: natural logarithm-transformed high freque...

Univariate logistic regression for Death within 7 days (EDd7).

Friederike Pastore (532228)
Alessandro Pastore (551364)
Georg Wittmann (551365)
Wolfgang Hiddemann (139376)
Karsten Spiekermann (532234)

April 2014

In the entire patient cohort, the effect of leukapheresis was not significant in the context of t...

Univariate logistic regression analysis of variables associated with 28 day mortality.

Susanne Stads (708987)
Louise Schilder (5345837)
S. Azam Nurmohamed (5345831)
Frank H. Bosch (5345849)
Ilse M. Purmer (5345834)
Sylvia S. den Boer (5345843)
Cynthia G. Kleppe (5345846)
Marc G. Vervloet (829815)
Albertus Beishuizen (70118)
Armand R. J. Girbes (336556)
Pieter M. ter Wee (553469)
Diederik Gommers (22889)
A. B. Johan Groeneveld (209636)
Heleen M. Oudemans-van Straaten (5345840)

June 2018

Univariate logistic regression analysis of variables associated with 28 day mortality.</p

The univariate logistic regression analyses of the variables for 30-day mortality.

Zheng-Liang Peng (5703410)
Liang-Wei Huang (5703413)
Jian Yin (64657)
Ke-Na Zhang (5703416)
Kang Xiao (207708)
Guo-Zhong Qing (5703419)

August 2018

The univariate logistic regression analyses of the variables for 30-day mortality.</p

Logistic regression analysis of variables associated with cancer-specific survival.

Kyosuke Matsuzaki (5616857)
Kazutoshi Fujita (461335)
Yujiro Hayashi (467585)
Makoto Matsushita (1313511)
Satoshi Nojima (354069)
Kentaro Jingushi (5616860)
Taigo Kato (2541475)
Atsunari Kawashima (461334)
Takeshi Ujike (5616863)
Akira Nagahara (5616866)
Motohide Uemura (461336)
Ryoichi Imamura (2541481)
Seiji Yamaguchi (514015)
Hiroaki Fushimi (5616869)
Hiroshi Miyamoto (88988)
Eiichi Morii (162029)
Norio Nonomura (165953)

August 2018

Logistic regression analysis of variables associated with cancer-specific survival.</p

Significant univariate and multivariate logistic regression analyses to predict 30-day mortality.

Catia Cillóniz (661121)
Adrian Ceccato (4112044)
Cristina de la Calle (4336429)
Albert Gabarrús (2550865)
Carolina Garcia-Vidal (403198)
Manel Almela (587422)
Alex Soriano (3091062)
José Antonio Martinez (4336426)
Francesc Marco (737069)
Jordi Vila (200623)
Antoni Torres (238439)

August 2017

Significant univariate and multivariate logistic regression analyses to predict 30-day mortality....

Logistic-regression analysis for factors associated with 28-day mortality.

Aristine Cheng (399692)
Yu-Chung Chuang (236282)
Hsin-Yun Sun (61134)
Chia-Jui Yang (527603)
Hou-Tai Chang (797024)
Jia-Ling Yang (4234075)
Wang-Huei Sheng (103262)
Yee-Chun Chen (103279)
Shan-Chwen Chang (91714)

July 2017

Logistic-regression analysis for factors associated with 28-day mortality.</p

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

Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient clinical and radiological characteristic (only variables in equation are shown in the table).

Bo Liu (127343)
Wei Chen (23863)
Qi Zhang (28502)
Xiaoli Yan (420602)
Fei Zhang (85787)
Tianhua Dong (4573975)
Guang Yang (154978)
Yingze Zhang (81580)

May 2018

Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...

Characteristics of the patients enrolled (N = 138).

Jui-Kun Chiang (436041)
Terry B. J. Kuo (322192)
Chin-Hua Fu (436042)
Malcolm Koo (436043)

July 2013

SD: standard deviation, ECOG PS: Eastern Cooperative Oncology Group performance status, lnTP: nat...

Results of univariate logistic regression analysis for predictors of mortality.

Hiroaki Nakagawa (81700)
Emiko Ogawa (152421)
Kentaro Fukunaga (568962)
Daisuke Kinose (307059)
Masafumi Yamaguchi (568967)
Taishi Nagao (568965)
Sachiko Tanaka-Mizuno (4486078)
Yasutaka Nakano (568969)

March 2019

Results of univariate logistic regression analysis for predictors of mortality.</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...

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters using logistic regression analysis.

Mauro Panigada (4773642)
Lucia Zacchetti (787953)
Camilla L’Acqua (787954)
Massimo Cressoni (20706)
Massimo Boscolo Anzoletti (787955)
Rossella Bader (787956)
Alessandro Protti (558215)
Dario Consonni (89283)
Armando D’Angelo (155970)
Luciano Gattinoni (8578)

August 2015

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters usi...

A: binary logistic regression for Death within 7 days (EDd7). B: binary logistic regression for Death within 7 days (EDd7).

Friederike Pastore (532228)
Alessandro Pastore (551364)
Georg Wittmann (551365)
Wolfgang Hiddemann (139376)
Karsten Spiekermann (532234)

April 2014

9A: Therapeutic leukapheresis did not impact on the early death rate when the early death ...

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.

Eishi Uechi (5130875)
Masato Okada (189456)
Kiyohide Fushimi (652788)

April 2018

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.</p

Multivariate logistic regression analysis of factors associated with survival of 7 days or less.

Jui-Kun Chiang (436041)
Terry B. J. Kuo (322192)
Chin-Hua Fu (436042)
Malcolm Koo (436043)

July 2013

OR: odds ratio, 95% CI: 95% confidence interval, lnHFP: natural logarithm-transformed high freque...

Univariate logistic regression for Death within 7 days (EDd7).

Friederike Pastore (532228)
Alessandro Pastore (551364)
Georg Wittmann (551365)
Wolfgang Hiddemann (139376)
Karsten Spiekermann (532234)

April 2014

In the entire patient cohort, the effect of leukapheresis was not significant in the context of t...

Univariate logistic regression analysis of variables associated with 28 day mortality.

Susanne Stads (708987)
Louise Schilder (5345837)
S. Azam Nurmohamed (5345831)
Frank H. Bosch (5345849)
Ilse M. Purmer (5345834)
Sylvia S. den Boer (5345843)
Cynthia G. Kleppe (5345846)
Marc G. Vervloet (829815)
Albertus Beishuizen (70118)
Armand R. J. Girbes (336556)
Pieter M. ter Wee (553469)
Diederik Gommers (22889)
A. B. Johan Groeneveld (209636)
Heleen M. Oudemans-van Straaten (5345840)

June 2018

Univariate logistic regression analysis of variables associated with 28 day mortality.</p

The univariate logistic regression analyses of the variables for 30-day mortality.

Zheng-Liang Peng (5703410)
Liang-Wei Huang (5703413)
Jian Yin (64657)
Ke-Na Zhang (5703416)
Kang Xiao (207708)
Guo-Zhong Qing (5703419)

August 2018

The univariate logistic regression analyses of the variables for 30-day mortality.</p

Logistic regression analysis of variables associated with cancer-specific survival.

Kyosuke Matsuzaki (5616857)
Kazutoshi Fujita (461335)
Yujiro Hayashi (467585)
Makoto Matsushita (1313511)
Satoshi Nojima (354069)
Kentaro Jingushi (5616860)
Taigo Kato (2541475)
Atsunari Kawashima (461334)
Takeshi Ujike (5616863)
Akira Nagahara (5616866)
Motohide Uemura (461336)
Ryoichi Imamura (2541481)
Seiji Yamaguchi (514015)
Hiroaki Fushimi (5616869)
Hiroshi Miyamoto (88988)
Eiichi Morii (162029)
Norio Nonomura (165953)

August 2018

Logistic regression analysis of variables associated with cancer-specific survival.</p

Significant univariate and multivariate logistic regression analyses to predict 30-day mortality.

Catia Cillóniz (661121)
Adrian Ceccato (4112044)
Cristina de la Calle (4336429)
Albert Gabarrús (2550865)
Carolina Garcia-Vidal (403198)
Manel Almela (587422)
Alex Soriano (3091062)
José Antonio Martinez (4336426)
Francesc Marco (737069)
Jordi Vila (200623)
Antoni Torres (238439)

August 2017

Significant univariate and multivariate logistic regression analyses to predict 30-day mortality....

Logistic-regression analysis for factors associated with 28-day mortality.

Aristine Cheng (399692)
Yu-Chung Chuang (236282)
Hsin-Yun Sun (61134)
Chia-Jui Yang (527603)
Hou-Tai Chang (797024)
Jia-Ling Yang (4234075)
Wang-Huei Sheng (103262)
Yee-Chun Chen (103279)
Shan-Chwen Chang (91714)

July 2017

Logistic-regression analysis for factors associated with 28-day mortality.</p

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

Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient clinical and radiological characteristic (only variables in equation are shown in the table).

Bo Liu (127343)
Wei Chen (23863)
Qi Zhang (28502)
Xiaoli Yan (420602)
Fei Zhang (85787)
Tianhua Dong (4573975)
Guang Yang (154978)
Yingze Zhang (81580)

May 2018

Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...

Characteristics of the patients enrolled (N = 138).

Jui-Kun Chiang (436041)
Terry B. J. Kuo (322192)
Chin-Hua Fu (436042)
Malcolm Koo (436043)

July 2013

SD: standard deviation, ECOG PS: Eastern Cooperative Oncology Group performance status, lnTP: nat...

Results of univariate logistic regression analysis for predictors of mortality.

Hiroaki Nakagawa (81700)
Emiko Ogawa (152421)
Kentaro Fukunaga (568962)
Daisuke Kinose (307059)
Masafumi Yamaguchi (568967)
Taishi Nagao (568965)
Sachiko Tanaka-Mizuno (4486078)
Yasutaka Nakano (568969)

March 2019

Results of univariate logistic regression analysis for predictors of mortality.</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...

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters using logistic regression analysis.

Mauro Panigada (4773642)
Lucia Zacchetti (787953)
Camilla L’Acqua (787954)
Massimo Cressoni (20706)
Massimo Boscolo Anzoletti (787955)
Rossella Bader (787956)
Alessandro Protti (558215)
Dario Consonni (89283)
Armando D’Angelo (155970)
Luciano Gattinoni (8578)

August 2015

Odds ratios (OR) and 95% confidence interval (95% CI) of death for different lysis parameters usi...

A: binary logistic regression for Death within 7 days (EDd7). B: binary logistic regression for Death within 7 days (EDd7).

Friederike Pastore (532228)
Alessandro Pastore (551364)
Georg Wittmann (551365)
Wolfgang Hiddemann (139376)
Karsten Spiekermann (532234)

April 2014

9A: Therapeutic leukapheresis did not impact on the early death rate when the early death ...

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.

Eishi Uechi (5130875)
Masato Okada (189456)
Kiyohide Fushimi (652788)

April 2018

Logistic regression analyses for in-hospital mortality in the propensity-matched patients.</p

Univariate logistic regression analysis for factors associated with survival of 7 days or less.

Abstract

Extracted data

Univariate logistic regression analysis for factors associated with survival of 7 days or less.

Abstract

Extracted data

Related items

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