Logistic regression AIC and p-values for the 9 homologous times for 3DSTE parameters.

The Logistic regression results of different reporters (new or traditional ADRs).

Hui Li (32376)
Xiao-Jing Guo (198408)
Xiao-Fei Ye (156746)
Hong Jiang (79543)
Wen-Min Du (315669)
Jin-Fang Xu (156752)
Xin-Ji Zhang (198411)
Jia He (89641)

February 2014

The Logistic regression results of different reporters (new or traditional ADRs).</p

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.

Devipriya J. S. (11286517)
Ashok Kumar Gupta (7259135)
Rajendra Babu Veeri (11286520)
Pavan Garapati (5728565)
Rishikesh Kumar (2142277)
Sameer Dhingra (785935)
Krishna Murti (5728568)
V. Ravichandiran (3864802)
Krishna Pandey (567511)

August 2021

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) in their natural logarithm transformed forms as variables.

Raju Reddy (6433493)
Isaac Asante (3606338)
Siyu Liu (825600)
Pranay Parikh (6433496)
Janice Liebler (6433499)
Zea Borok (104590)
Kathleen Rodgers (6433502)
Ahmet Baydur (6433505)
Stan G. Louie (340187)

March 2019

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) i...

Logistic regression AIC and p-values for trajectory attributes.

Andrea Madeo (721621)
Paolo Piras (489773)
Federica Re (651976)
Stefano Gabriele (513510)
Paola Nardinocchi (513511)
Luciano Teresi (513512)
Concetta Torromeo (513513)
Claudia Chialastri (721622)
Michele Schiariti (513514)
Geltrude Giura (721623)
Antonietta Evangelista (513509)
Tania Dominici (721624)
Valerio Varano (513515)
Elisabetta Zachara (651975)
Paolo Emilio Puddu (513516)

April 2015

In bold significant results.Logistic regression AIC and p-values for trajectory att...

Logistic regression for factors associated with good understanding of A1c (N = 5957).

Shengnan Yang (2558734)
Weimin Kong (2558737)
Cunyi Hsue (2558743)
Anne F. Fish (2558740)
Yufeng Chen (560054)
Xiaohui Guo (131711)
Qingqing Lou (560053)
Robert Anderson (174288)

March 2016

Logistic regression for factors associated with good understanding of A1c (N = 5957).</p

Multiple Logistic regression results.

Farhan Baluch (366980)
Laurent Itti (366981)

February 2013

(a) Coeffecient values for each feature plotted as a function of session. (b) Regression line fit...

Logistic Regression coefficients and odd ratios for the non-PCR set.

Andres Colubri (2676781)
Tom Silver (3175758)
Terrence Fradet (3175755)
Kalliroi Retzepi (3175761)
Ben Fry (11024)
Pardis Sabeti (3175752)

March 2016

This table shows the coefficients of the logistic regression model that results from backward var...

Results of the multiple logistic regressions after automatic selection, approach 1, early detectable parameters and approach 2, later detectable parameters.

Olaf Rose (2813935)
Hugo Mennemann (2813944)
Carina John (2813947)
Marcus Lautenschläger (2813938)
Damaris Mertens-Keller (2813932)
Katharina Richling (2813965)
Isabel Waltering (2813941)
Stefanie Hamacher (2813956)
Moritz Felsch (2813953)
Lena Herich (116776)
Kathrin Czarnecki (2813962)
Corinna Schaffert (2813950)
Ulrich Jaehde (93895)
Juliane Köberlein-Neu (2813959)

June 2016

Results of the multiple logistic regressions after automatic selection, approach 1, early detecta...

Results of the univariate and multivariate logistic regression analyses for predictors of significant LAD stenosis.

Seong Ho Moon (5745947)
Joung Hun Byun (5745950)
Jong Woo Kim (765717)
Sung Hwan Kim (819936)
Ki Nyun Kim (5745953)
Jae Jun Jung (5745956)
Dong Hoon Kang (251481)
Jun Ho Yang (5745959)
Jun Young Choi (566818)
In Seok Jang (5745962)
Hyun Oh Park (5745965)
Chung Eun Lee (3203745)
Jong Hwa Ahn (728945)

September 2018

Results of the univariate and multivariate logistic regression analyses for predictors of significan...

Multivariate logistic regression analysis for identification of patients with high AVCS (N = 122, high AVCS N = 24).

Rafal Gałąska (6162947)
Dorota Kulawiak-Gałąska (6162950)
Magdalena Chmara (3485393)
Krzysztof Chlebus (6162953)
Michał Studniarek (846526)
Marcin Fijałkowski (4568044)
Bartosz Wasąg (804434)
Andrzej Rynkiewicz (6162956)
Marcin Gruchała (6162959)

December 2018

Multivariate logistic regression analysis for identification of patients with high AVCS (N = 122, hi...

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

Results of binary logistic regression for variables associated with the G-LOC.

Jinhee Park (672569)
Chul Yun (2186971)
Seungcheol Kang (779102)

January 2016

Results of binary logistic regression for variables associated with the G-LOC.</p

Results of logistic regressions using Control/HCM as a binary response and the entire bulk of morphological parameters used in this study.

Andrea Madeo (721621)
Paolo Piras (489773)
Federica Re (651976)
Stefano Gabriele (513510)
Paola Nardinocchi (513511)
Luciano Teresi (513512)
Concetta Torromeo (513513)
Claudia Chialastri (721622)
Michele Schiariti (513514)
Geltrude Giura (721623)
Antonietta Evangelista (513509)
Tania Dominici (721624)
Valerio Varano (513515)
Elisabetta Zachara (651975)
Paolo Emilio Puddu (513516)

April 2015

The y-axis always represents the Akaike Information Criterion value for any analysis, while the x...

Adjusted odds ratios (AOR) and 95% CI of adjusted odds ratios (AOR) for multilevel mixed-effects binary logistic regression model.

Bedilu Alamirie Ejigu (5236571)
Eshetu Wencheko (5236574)
Kiros Berhane (16960)

May 2018

Adjusted odds ratios (AOR) and 95% CI of adjusted odds ratios (AOR) for multilevel mixed-effects ...

The Logistic regression results of different reporters (new or traditional ADRs).

Hui Li (32376)
Xiao-Jing Guo (198408)
Xiao-Fei Ye (156746)
Hong Jiang (79543)
Wen-Min Du (315669)
Jin-Fang Xu (156752)
Xin-Ji Zhang (198411)
Jia He (89641)

February 2014

The Logistic regression results of different reporters (new or traditional ADRs).</p

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.

Devipriya J. S. (11286517)
Ashok Kumar Gupta (7259135)
Rajendra Babu Veeri (11286520)
Pavan Garapati (5728565)
Rishikesh Kumar (2142277)
Sameer Dhingra (785935)
Krishna Murti (5728568)
V. Ravichandiran (3864802)
Krishna Pandey (567511)

August 2021

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) in their natural logarithm transformed forms as variables.

Raju Reddy (6433493)
Isaac Asante (3606338)
Siyu Liu (825600)
Pranay Parikh (6433496)
Janice Liebler (6433499)
Zea Borok (104590)
Kathleen Rodgers (6433502)
Ahmet Baydur (6433505)
Stan G. Louie (340187)

March 2019

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) i...

Logistic regression AIC and p-values for trajectory attributes.

Andrea Madeo (721621)
Paolo Piras (489773)
Federica Re (651976)
Stefano Gabriele (513510)
Paola Nardinocchi (513511)
Luciano Teresi (513512)
Concetta Torromeo (513513)
Claudia Chialastri (721622)
Michele Schiariti (513514)
Geltrude Giura (721623)
Antonietta Evangelista (513509)
Tania Dominici (721624)
Valerio Varano (513515)
Elisabetta Zachara (651975)
Paolo Emilio Puddu (513516)

April 2015

In bold significant results.Logistic regression AIC and p-values for trajectory att...

Logistic regression for factors associated with good understanding of A1c (N = 5957).

Shengnan Yang (2558734)
Weimin Kong (2558737)
Cunyi Hsue (2558743)
Anne F. Fish (2558740)
Yufeng Chen (560054)
Xiaohui Guo (131711)
Qingqing Lou (560053)
Robert Anderson (174288)

March 2016

Logistic regression for factors associated with good understanding of A1c (N = 5957).</p

Multiple Logistic regression results.

Farhan Baluch (366980)
Laurent Itti (366981)

February 2013

(a) Coeffecient values for each feature plotted as a function of session. (b) Regression line fit...

Logistic Regression coefficients and odd ratios for the non-PCR set.

Andres Colubri (2676781)
Tom Silver (3175758)
Terrence Fradet (3175755)
Kalliroi Retzepi (3175761)
Ben Fry (11024)
Pardis Sabeti (3175752)

March 2016

This table shows the coefficients of the logistic regression model that results from backward var...

Results of the multiple logistic regressions after automatic selection, approach 1, early detectable parameters and approach 2, later detectable parameters.

Olaf Rose (2813935)
Hugo Mennemann (2813944)
Carina John (2813947)
Marcus Lautenschläger (2813938)
Damaris Mertens-Keller (2813932)
Katharina Richling (2813965)
Isabel Waltering (2813941)
Stefanie Hamacher (2813956)
Moritz Felsch (2813953)
Lena Herich (116776)
Kathrin Czarnecki (2813962)
Corinna Schaffert (2813950)
Ulrich Jaehde (93895)
Juliane Köberlein-Neu (2813959)

June 2016

Results of the multiple logistic regressions after automatic selection, approach 1, early detecta...

Results of the univariate and multivariate logistic regression analyses for predictors of significant LAD stenosis.

Seong Ho Moon (5745947)
Joung Hun Byun (5745950)
Jong Woo Kim (765717)
Sung Hwan Kim (819936)
Ki Nyun Kim (5745953)
Jae Jun Jung (5745956)
Dong Hoon Kang (251481)
Jun Ho Yang (5745959)
Jun Young Choi (566818)
In Seok Jang (5745962)
Hyun Oh Park (5745965)
Chung Eun Lee (3203745)
Jong Hwa Ahn (728945)

September 2018

Results of the univariate and multivariate logistic regression analyses for predictors of significan...

Multivariate logistic regression analysis for identification of patients with high AVCS (N = 122, high AVCS N = 24).

Rafal Gałąska (6162947)
Dorota Kulawiak-Gałąska (6162950)
Magdalena Chmara (3485393)
Krzysztof Chlebus (6162953)
Michał Studniarek (846526)
Marcin Fijałkowski (4568044)
Bartosz Wasąg (804434)
Andrzej Rynkiewicz (6162956)
Marcin Gruchała (6162959)

December 2018

Multivariate logistic regression analysis for identification of patients with high AVCS (N = 122, hi...

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

Results of binary logistic regression for variables associated with the G-LOC.

Jinhee Park (672569)
Chul Yun (2186971)
Seungcheol Kang (779102)

January 2016

Results of binary logistic regression for variables associated with the G-LOC.</p

Results of logistic regressions using Control/HCM as a binary response and the entire bulk of morphological parameters used in this study.

Andrea Madeo (721621)
Paolo Piras (489773)
Federica Re (651976)
Stefano Gabriele (513510)
Paola Nardinocchi (513511)
Luciano Teresi (513512)
Concetta Torromeo (513513)
Claudia Chialastri (721622)
Michele Schiariti (513514)
Geltrude Giura (721623)
Antonietta Evangelista (513509)
Tania Dominici (721624)
Valerio Varano (513515)
Elisabetta Zachara (651975)
Paolo Emilio Puddu (513516)

April 2015

The y-axis always represents the Akaike Information Criterion value for any analysis, while the x...

Adjusted odds ratios (AOR) and 95% CI of adjusted odds ratios (AOR) for multilevel mixed-effects binary logistic regression model.

Bedilu Alamirie Ejigu (5236571)
Eshetu Wencheko (5236574)
Kiros Berhane (16960)

May 2018

Adjusted odds ratios (AOR) and 95% CI of adjusted odds ratios (AOR) for multilevel mixed-effects ...

The Logistic regression results of different reporters (new or traditional ADRs).

Hui Li (32376)
Xiao-Jing Guo (198408)
Xiao-Fei Ye (156746)
Hong Jiang (79543)
Wen-Min Du (315669)
Jin-Fang Xu (156752)
Xin-Ji Zhang (198411)
Jia He (89641)

February 2014

The Logistic regression results of different reporters (new or traditional ADRs).</p

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.

Devipriya J. S. (11286517)
Ashok Kumar Gupta (7259135)
Rajendra Babu Veeri (11286520)
Pavan Garapati (5728565)
Rishikesh Kumar (2142277)
Sameer Dhingra (785935)
Krishna Murti (5728568)
V. Ravichandiran (3864802)
Krishna Pandey (567511)

August 2021

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) in their natural logarithm transformed forms as variables.

Raju Reddy (6433493)
Isaac Asante (3606338)
Siyu Liu (825600)
Pranay Parikh (6433496)
Janice Liebler (6433499)
Zea Borok (104590)
Kathleen Rodgers (6433502)
Ahmet Baydur (6433505)
Stan G. Louie (340187)

March 2019

Multivariate logistic regression model for association with ARDS survival using A(1–9) and A(1–10) i...

Logistic regression AIC and <i>p</i>-values for the 9 homologous times for 3DSTE parameters.

Abstract

Extracted data

Logistic regression AIC and <i>p</i>-values for the 9 homologous times for 3DSTE parameters.

Abstract

Extracted data

Related items

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