Cross-validated results of logistic regression models for two-class (CNA vs MCI) and three-class (CNA vs SCI vs MCI) identification.

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. SCCmec IV/V isolates).

Jiun-Ling Wang (304072)
Jann-Tay Wang (195783)
Shey-Ying Chen (366473)
Yee-Chun Chen (103279)
Shan-Chwen Chang (91714)

February 2013

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. ...

Multiple logistic regression models exploring certain independent predictors of antibiotic resistance.

Taru Singh (3602633)
Praveen Kumar Singh (6597671)
Sajad Ahmad Dar (3602612)
Shafiul Haque (417403)
Naseem Akhter (501211)
Shukla Das (499655)

April 2019

Multiple logistic regression models exploring certain independent predictors of antibiotic resistanc...

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

Cross-validated results of logistic regression models for two-class (CNA vs MCI) and three-class (CNA vs SCI vs MCI) identification.

Gianmaria Mancioppi (16733862)
Erika Rovini (16733865)
Laura Fiorini (4590295)
Radia Zeghari (14813773)
Auriane Gros (3964502)
Valeria Manera (287858)
Philippe Robert (212871)
Filippo Cavallo (7021805)

August 2023

Cross-validated results of logistic regression models for two-class (CNA vs MCI) and three-class (CN...

Multiple linear versus multiple logistic regression : a cross-validation study

Lanto, Andrew Blair

January 1984

Includes bibliographical references (pages 39-41)A Monte Carlo comparison between a multiple linear\...

Predictions from each split of cross-validation, generating cross-validated estimates for each input data point using multinomial logistic regression.

Astri J. Lundervold (183219)
Alexandra Vik (6541574)
Arvid Lundervold (503418)

April 2019

Predictions from each split of cross-validation, generating cross-validated estimates for each input...

Multiple linear versus multiple logistic regression

Grossman, Loren Ricki

August 1974

Includes bibliographical references (pages 24-25)A comparison was made between multiple linear and m...

Multiple logistic regression analysis on presence and extent of adventitial MCI (≥50) with clinical and laboratory parameters.

Kelly J. Shields (3370004)
Tom Eirik Mollnes (508131)
Jon Roger Eidet (642696)
Knut Mikkelsen (569839)
Sven M. Almdahl (569841)
Barbara Bottazzi (291673)
Torstein Lyberg (193898)
Susan Manzi (228471)
Joseph M. Ahearn (3897463)
Ivana Hollan (569836)

March 2017

Multiple logistic regression analysis on presence and extent of adventitial MCI (≥50) with clinic...

Multinomial logistic regression model, assessing the relationship between risk factors and patterns of concordant and discordant test results.

Alice Zwerling (285452)
Mihaela Cojocariu (285453)
Fiona McIntosh (285455)
Filomena Pietrangelo (285457)
Marcel A. Behr (88762)
Kevin Schwartzman (66114)
Andrea Benedetti (139371)
Nandini Dendukuri (118407)
Dick Menzies (66118)
Madhukar Pai (55924)

February 2013

Multinomial logistic regression model, assessing the relationship between risk factors and patter...

Multiple logistic regression analysis for NAFLD in the cross-sectional study (n = 9432).

Peiyi Liu (4262206)
Yanyan Xu (571830)
Yuhan Tang (3873496)
Min Du (292028)
Xiao Yu (139738)
Jian Sun (1234941)
Lin Xiao (158787)
Meian He (136245)
Sheng Wei (116298)
Jing Yuan (217967)
Youjie Wang (290275)
Yuan Liang (290273)
Tangchun Wu (102779)
Xiaoping Miao (172046)
Ping Yao (290266)

July 2017

Multiple logistic regression analysis for NAFLD in the cross-sectional study (n = 9432).</p

Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) for appropriate PRISMA citation in the identified SRs (n = 701).

Padhraig S. Fleming (511872)
Despina Koletsi (511871)
Nikolaos Pandis (511874)

May 2014

Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...

Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and cluster one (most condemning) with cluster two as the reference category (weighted).

Kamaldeep Bhui (530888)
Brian Everitt (633714)
Edgar Jones (5658289)

September 2014

Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and clu...

Comparison of mean cross-validated AUC from SVM and logistic regression models.

Eleisha L. Jackson (3900454)
Stephanie J. Spielman (447205)
Claus O. Wilke (188638)

April 2017

For each set of predictor variables, the mean cross-validated AUC value from the corresponding SV...

Evaluation of multiple classification models including Support Vector Machine (SVM), Random Forest (RF), naïve Bayes (Bayes), Neural Network (NNT), K-Nearest Neighbor (KNN) and Logistic regression models via 10-fold cross-validation (10FCV).

Pi Guo (578416)
Qin Zhang (58638)
Zhenli Zhu (578417)
Zhengliang Huang (578418)
Ke Li (106849)

June 2014

Evaluation of multiple classification models including Support Vector Machine (SVM), Random Fores...

Multivariate logistic regression analysis (no and minor complications SIR0-2 vs. major complications SIR3-4) of selected variables in the study group (n = 311).

Amany Saad Elshafee (6475784)
Annika Karch (2792539)
Kristina I. Ringe (776664)
Hoen-oh Shin (281958)
Hans-Jürgen Raatschen (5537606)
Nermin Yehia Soliman (6475787)
Frank Wacker (281957)
Jens Vogel-Claussen (313462)

March 2019

Multivariate logistic regression analysis (no and minor complications SIR0-2 vs. major complications...

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. SCCmec IV/V isolates).

Jiun-Ling Wang (304072)
Jann-Tay Wang (195783)
Shey-Ying Chen (366473)
Yee-Chun Chen (103279)
Shan-Chwen Chang (91714)

February 2013

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. ...

Multiple logistic regression models exploring certain independent predictors of antibiotic resistance.

Taru Singh (3602633)
Praveen Kumar Singh (6597671)
Sajad Ahmad Dar (3602612)
Shafiul Haque (417403)
Naseem Akhter (501211)
Shukla Das (499655)

April 2019

Multiple logistic regression models exploring certain independent predictors of antibiotic resistanc...

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

Cross-validated results of logistic regression models for two-class (CNA vs MCI) and three-class (CNA vs SCI vs MCI) identification.

Gianmaria Mancioppi (16733862)
Erika Rovini (16733865)
Laura Fiorini (4590295)
Radia Zeghari (14813773)
Auriane Gros (3964502)
Valeria Manera (287858)
Philippe Robert (212871)
Filippo Cavallo (7021805)

August 2023

Cross-validated results of logistic regression models for two-class (CNA vs MCI) and three-class (CN...

Multiple linear versus multiple logistic regression : a cross-validation study

Lanto, Andrew Blair

January 1984

Includes bibliographical references (pages 39-41)A Monte Carlo comparison between a multiple linear\...

Predictions from each split of cross-validation, generating cross-validated estimates for each input data point using multinomial logistic regression.

Astri J. Lundervold (183219)
Alexandra Vik (6541574)
Arvid Lundervold (503418)

April 2019

Predictions from each split of cross-validation, generating cross-validated estimates for each input...

Multiple linear versus multiple logistic regression

Grossman, Loren Ricki

August 1974

Includes bibliographical references (pages 24-25)A comparison was made between multiple linear and m...

Multiple logistic regression analysis on presence and extent of adventitial MCI (≥50) with clinical and laboratory parameters.

Kelly J. Shields (3370004)
Tom Eirik Mollnes (508131)
Jon Roger Eidet (642696)
Knut Mikkelsen (569839)
Sven M. Almdahl (569841)
Barbara Bottazzi (291673)
Torstein Lyberg (193898)
Susan Manzi (228471)
Joseph M. Ahearn (3897463)
Ivana Hollan (569836)

March 2017

Multiple logistic regression analysis on presence and extent of adventitial MCI (≥50) with clinic...

Multinomial logistic regression model, assessing the relationship between risk factors and patterns of concordant and discordant test results.

Alice Zwerling (285452)
Mihaela Cojocariu (285453)
Fiona McIntosh (285455)
Filomena Pietrangelo (285457)
Marcel A. Behr (88762)
Kevin Schwartzman (66114)
Andrea Benedetti (139371)
Nandini Dendukuri (118407)
Dick Menzies (66118)
Madhukar Pai (55924)

February 2013

Multinomial logistic regression model, assessing the relationship between risk factors and patter...

Multiple logistic regression analysis for NAFLD in the cross-sectional study (n = 9432).

Peiyi Liu (4262206)
Yanyan Xu (571830)
Yuhan Tang (3873496)
Min Du (292028)
Xiao Yu (139738)
Jian Sun (1234941)
Lin Xiao (158787)
Meian He (136245)
Sheng Wei (116298)
Jing Yuan (217967)
Youjie Wang (290275)
Yuan Liang (290273)
Tangchun Wu (102779)
Xiaoping Miao (172046)
Ping Yao (290266)

July 2017

Multiple logistic regression analysis for NAFLD in the cross-sectional study (n = 9432).</p

Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) for appropriate PRISMA citation in the identified SRs (n = 701).

Padhraig S. Fleming (511872)
Despina Koletsi (511871)
Nikolaos Pandis (511874)

May 2014

Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...

Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and cluster one (most condemning) with cluster two as the reference category (weighted).

Kamaldeep Bhui (530888)
Brian Everitt (633714)
Edgar Jones (5658289)

September 2014

Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and clu...

Comparison of mean cross-validated AUC from SVM and logistic regression models.

Eleisha L. Jackson (3900454)
Stephanie J. Spielman (447205)
Claus O. Wilke (188638)

April 2017

For each set of predictor variables, the mean cross-validated AUC value from the corresponding SV...

Evaluation of multiple classification models including Support Vector Machine (SVM), Random Forest (RF), naïve Bayes (Bayes), Neural Network (NNT), K-Nearest Neighbor (KNN) and Logistic regression models via 10-fold cross-validation (10FCV).

Pi Guo (578416)
Qin Zhang (58638)
Zhenli Zhu (578417)
Zhengliang Huang (578418)
Ke Li (106849)

June 2014

Evaluation of multiple classification models including Support Vector Machine (SVM), Random Fores...

Multivariate logistic regression analysis (no and minor complications SIR0-2 vs. major complications SIR3-4) of selected variables in the study group (n = 311).

Amany Saad Elshafee (6475784)
Annika Karch (2792539)
Kristina I. Ringe (776664)
Hoen-oh Shin (281958)
Hans-Jürgen Raatschen (5537606)
Nermin Yehia Soliman (6475787)
Frank Wacker (281957)
Jens Vogel-Claussen (313462)

March 2019

Multivariate logistic regression analysis (no and minor complications SIR0-2 vs. major complications...

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. SCCmec IV/V isolates).

Jiun-Ling Wang (304072)
Jann-Tay Wang (195783)
Shey-Ying Chen (366473)
Yee-Chun Chen (103279)
Shan-Chwen Chang (91714)

February 2013

Results of univariate and multivariate logistic regression analyses (SCC mec II/III isolates vs. ...

Multiple logistic regression models exploring certain independent predictors of antibiotic resistance.

Taru Singh (3602633)
Praveen Kumar Singh (6597671)
Sajad Ahmad Dar (3602612)
Shafiul Haque (417403)
Naseem Akhter (501211)
Shukla Das (499655)

April 2019

Multiple logistic regression models exploring certain independent predictors of antibiotic resistanc...

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

Cross-validated results of logistic regression models for two-class (CNA <i>vs</i> MCI) and three-class (CNA <i>vs</i> SCI <i>vs</i> MCI) identification.

Abstract

Extracted data

Cross-validated results of logistic regression models for two-class (CNA <i>vs</i> MCI) and three-class (CNA <i>vs</i> SCI <i>vs</i> MCI) identification.

Abstract

Extracted data

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