Odds ratios and respective confidence intervals gained by multiple binary logistic regression analysis after backward selection.

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regression analyses and area under the ROC curve.

Sachiko Hojo (6640316)
Atsushi Mizukoshi (6640319)
Kenichi Azuma (488546)
Jiro Okumura (6640322)
Masami Mizuki (6640325)
Mikio Miyata (6640328)

April 2019

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regres...

Odds ratio and logistic regression obtained by score groups.

João Paulo Tardivo (784198)
Maurício S. Baptista (511412)
João Antonio Correa (784199)
Fernando Adami (784200)
Maria Aparecida Silva Pinhal (784201)

August 2015

IC. confidence intervalOdds ratio and logistic regression obtained by score groups.</p

Factorial logistic regression models reporting odds ratio (OR), for infection status.

Camila Ihle-Soto (6368915)
Eduardo Costoya (6368918)
Juana P. Correa (6368921)
Antonella Bacigalupo (4953730)
Berenice Cornejo-Villar (6368924)
Viviana Estadella (6368927)
Aldo Solari (263428)
Sylvia Ortiz (323616)
Héctor J. Hernández (6368930)
Carezza Botto-Mahan (6368933)
David E. Gorla (2577805)
Pedro E. Cattan (6368936)

February 2019

Factorial logistic regression models reporting odds ratio (OR), for infection status.</p

Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.

Joanna F. Dipnall (2157217)
Julie A. Pasco (223870)
Michael Berk (343706)
Lana J. Williams (657175)
Seetal Dodd (828571)
Felice N. Jacka (343702)
Denny Meyer (828573)

December 2016

Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.</p

Adjusted odds ratios of the features in a fitted multiple logistic regression model and their corresponding 95% confidence intervals and p-values.

Ian E. R. Waudby-Smith (5348984)
Nam Tran (267065)
Joel A. Dubin (740170)
Joon Lee (75830)

June 2018

Adjusted odds ratios of the features in a fitted multiple logistic regression model and their cor...

The best predictive model determined by multiple logistic regression after backward selection.

Tsung-Hsien Li (710677)
Chao-Chin Chang (132039)
I-Jiunn Cheng (384638)
Suen-Chuain Lin (710678)

March 2015

aaOR: adjusted odds ratio.b CI: confidence interval.The best ...

Statistically significant variables in the backward logistic regression model based on likelihood ratio.

Oscar Rúa (112183)
Ignacio M. Larráyoz (112185)
María T. Barajas (112187)
Sara Velilla (112189)
Alfredo Martínez (2739505)

December 2012

Statistically significant variables in the backward logistic regression model based on likelihood...

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 ...

Multiple logistic regression analysis (Backward Wald); factors affecting CAM use among respondents (n = 288).

Kurubaran Ganasegeran (655402)
Anantha Kumar Rajendran (655403)
Sami Abdo Radman Al-Dubai (655404)

November 2014

*Exp (B) gives the Odds Ratio.Multiple logistic regression analysis (Backward Wald)...

Unconditional logistic regression of estimated odds ratios for PLA after propensity score matching.

Sai-Wai Ho (4060291)
Chao-Bin Yeh (184853)
Shun-Fa Yang (155103)
Han-Wei Yeh (4060288)
Jing-Yang Huang (558317)
Ying-Hock Teng (4060285)

June 2017

Unconditional logistic regression of estimated odds ratios for PLA after propensity score matchin...

Elicited priors for log odds ratios and corresponding 95% Credible Intervals for the odds ratios.

Karla Hemming (159311)
Peter J. Chilton (159316)
Richard J. Lilford (159321)
Anthony Avery (159329)
Aziz Sheikh (18504)

June 2012

Elicited priors for log odds ratios and corresponding 95% Credible Intervals for the odds ratios....

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...

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 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...

Odds ratio of using caesarean section in multilevel logistic regression analysis.

Md. Nuruzzaman Khan (4020827)
M. Mofizul Islam (507231)
Asma Ahmad Shariff (4020830)
Md. Mahmudul Alam (3932420)
Md. Mostafizur Rahman (194740)

May 2017

Odds ratio of using caesarean section in multilevel logistic regression analysis.</p

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regression analyses and area under the ROC curve.

Sachiko Hojo (6640316)
Atsushi Mizukoshi (6640319)
Kenichi Azuma (488546)
Jiro Okumura (6640322)
Masami Mizuki (6640325)
Mikio Miyata (6640328)

April 2019

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regres...

Odds ratio and logistic regression obtained by score groups.

João Paulo Tardivo (784198)
Maurício S. Baptista (511412)
João Antonio Correa (784199)
Fernando Adami (784200)
Maria Aparecida Silva Pinhal (784201)

August 2015

IC. confidence intervalOdds ratio and logistic regression obtained by score groups.</p

Factorial logistic regression models reporting odds ratio (OR), for infection status.

Camila Ihle-Soto (6368915)
Eduardo Costoya (6368918)
Juana P. Correa (6368921)
Antonella Bacigalupo (4953730)
Berenice Cornejo-Villar (6368924)
Viviana Estadella (6368927)
Aldo Solari (263428)
Sylvia Ortiz (323616)
Héctor J. Hernández (6368930)
Carezza Botto-Mahan (6368933)
David E. Gorla (2577805)
Pedro E. Cattan (6368936)

February 2019

Factorial logistic regression models reporting odds ratio (OR), for infection status.</p

Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.

Joanna F. Dipnall (2157217)
Julie A. Pasco (223870)
Michael Berk (343706)
Lana J. Williams (657175)
Seetal Dodd (828571)
Felice N. Jacka (343702)
Denny Meyer (828573)

December 2016

Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.</p

Adjusted odds ratios of the features in a fitted multiple logistic regression model and their corresponding 95% confidence intervals and p-values.

Ian E. R. Waudby-Smith (5348984)
Nam Tran (267065)
Joel A. Dubin (740170)
Joon Lee (75830)

June 2018

Adjusted odds ratios of the features in a fitted multiple logistic regression model and their cor...

The best predictive model determined by multiple logistic regression after backward selection.

Tsung-Hsien Li (710677)
Chao-Chin Chang (132039)
I-Jiunn Cheng (384638)
Suen-Chuain Lin (710678)

March 2015

aaOR: adjusted odds ratio.b CI: confidence interval.The best ...

Statistically significant variables in the backward logistic regression model based on likelihood ratio.

Oscar Rúa (112183)
Ignacio M. Larráyoz (112185)
María T. Barajas (112187)
Sara Velilla (112189)
Alfredo Martínez (2739505)

December 2012

Statistically significant variables in the backward logistic regression model based on likelihood...

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 ...

Multiple logistic regression analysis (Backward Wald); factors affecting CAM use among respondents (n = 288).

Kurubaran Ganasegeran (655402)
Anantha Kumar Rajendran (655403)
Sami Abdo Radman Al-Dubai (655404)

November 2014

*Exp (B) gives the Odds Ratio.Multiple logistic regression analysis (Backward Wald)...

Unconditional logistic regression of estimated odds ratios for PLA after propensity score matching.

Sai-Wai Ho (4060291)
Chao-Bin Yeh (184853)
Shun-Fa Yang (155103)
Han-Wei Yeh (4060288)
Jing-Yang Huang (558317)
Ying-Hock Teng (4060285)

June 2017

Unconditional logistic regression of estimated odds ratios for PLA after propensity score matchin...

Elicited priors for log odds ratios and corresponding 95% Credible Intervals for the odds ratios.

Karla Hemming (159311)
Peter J. Chilton (159316)
Richard J. Lilford (159321)
Anthony Avery (159329)
Aziz Sheikh (18504)

June 2012

Elicited priors for log odds ratios and corresponding 95% Credible Intervals for the odds ratios....

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...

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 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...

Odds ratio of using caesarean section in multilevel logistic regression analysis.

Md. Nuruzzaman Khan (4020827)
M. Mofizul Islam (507231)
Asma Ahmad Shariff (4020830)
Md. Mahmudul Alam (3932420)
Md. Mostafizur Rahman (194740)

May 2017

Odds ratio of using caesarean section in multilevel logistic regression analysis.</p

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regression analyses and area under the ROC curve.

Sachiko Hojo (6640316)
Atsushi Mizukoshi (6640319)
Kenichi Azuma (488546)
Jiro Okumura (6640322)
Masami Mizuki (6640325)
Mikio Miyata (6640328)

April 2019

Odds ratios of patients to controls for subscale total scores by binary and multiple logistic regres...

Odds ratio and logistic regression obtained by score groups.

João Paulo Tardivo (784198)
Maurício S. Baptista (511412)
João Antonio Correa (784199)
Fernando Adami (784200)
Maria Aparecida Silva Pinhal (784201)

August 2015

IC. confidence intervalOdds ratio and logistic regression obtained by score groups.</p

Factorial logistic regression models reporting odds ratio (OR), for infection status.

Camila Ihle-Soto (6368915)
Eduardo Costoya (6368918)
Juana P. Correa (6368921)
Antonella Bacigalupo (4953730)
Berenice Cornejo-Villar (6368924)
Viviana Estadella (6368927)
Aldo Solari (263428)
Sylvia Ortiz (323616)
Héctor J. Hernández (6368930)
Carezza Botto-Mahan (6368933)
David E. Gorla (2577805)
Pedro E. Cattan (6368936)

February 2019

Factorial logistic regression models reporting odds ratio (OR), for infection status.</p

Odds ratios and respective confidence intervals gained by multiple binary logistic regression analysis after backward selection.

Abstract

Extracted data

Odds ratios and respective confidence intervals gained by multiple binary logistic regression analysis after backward selection.

Abstract

Extracted data

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