Ordinal and logistic regression models for predictors of longer presentation time and delayed presentation respectively.

Logistic ordinal regression models predicting recommended protective behaviors.

Camille Fritzell (3325305)
Jocelyn Raude (343887)
Antoine Adde (2634577)
Isabelle Dusfour (741917)
Philippe Quenel (2634580)
Claude Flamand (181755)

November 2016

Logistic ordinal regression models predicting recommended protective behaviors.</p

Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.

Elisa Pitteri (633775)
Paolo Mongillo (633776)
Paolo Carnier (633777)
Lieta Marinelli (633778)
Ludwig Huber (218979)

September 2014

OR = odds ratio, CI = confidence interval.Binary logistic regression model showing the...

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural Capricorn District and peri-urban Tlokwe sub-district.

Joy Ebonwu (4922641)
Alexandra Mumbauer (4922647)
Margot Uys (3149199)
Milton L. Wainberg (4922644)
Andrew Medina-Marino (556107)

March 2018

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural C...

Ordinal and logistic regression models for predictors of longer diagnosis time and delayed diagnosis respectively.

Mary Henry (3178944)
Noêmi GalAn (3178923)
Katherine Teasdale (3178929)
Renata Prado (3178941)
Harpreet Amar (3178926)
Marina S. Rays (3178938)
Lesley Roberts (3178935)
Pedro Siqueira (3178947)
Gilles de Wildt (3178932)
Marcos Virmond (3178950)
Pranab K. Das (2740366)

March 2016

Ordinal and logistic regression models for predictors of longer diagnosis time and delayed diagno...

Pooled logistic regression analysis (with fixed effects) of determinants of late presentation.

Joy Ebonwu (4922641)
Alexandra Mumbauer (4922647)
Margot Uys (3149199)
Milton L. Wainberg (4922644)
Andrew Medina-Marino (556107)

March 2018

Pooled logistic regression analysis (with fixed effects) of determinants of late presentation.</p

Ordinal logistic regression models of health behaviours by anticipated survival at wave 1, English Longitudinal Study of Ageing.

Jean Adams (16465)
Elaine Stamp (313276)
Daniel Nettle (198938)
Eugene M. G. Milne (2215138)
Carol Jagger (17435)

March 2015

Ordinal logistic regression models of health behaviours by anticipated survival at wave 1, Englis...

Logistic regression models for ordinal response: A study of self-efficacy in colorectal cancer screening

Dong, Yongquan

January 2007

The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...

A tutorial on selecting and interpreting predictive models for ordinal health-related outcomes

Guzman-Castillo, Maria
Brailsford, Sally
Luke, Michelle
Smith, Honora

December 2015

Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...

A tutorial on selecting and interpreting predictive models for ordinal health-related outcomes

Guzman-Castillo, Maria
Brailsford, Sally
Luke, Michelle
Smith, Honora

June 2015

Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...

Logistic regression model for delivery of papers at national scholarly meetings, with covariates.

Rodolfo Mendoza-Denton (3907093)
Colette Patt (3907090)
Aaron Fisher (767426)
Andrew Eppig (3907087)
Ira Young (3907096)
Andrew Smith (11197)
Mark A. Richards (3907084)

April 2017

Logistic regression model for delivery of papers at national scholarly meetings, with covariates....

Factors associated with prolonged and extreme patient delay: Results of logistic regression analysis.

Olivera Bojovic (4926097)
Milic Medenica (4926100)
Danko Zivkovic (4926106)
Bozidarka Rakocevic (4926103)
Goran Trajkovic (663038)
Darija Kisic-Tepavcevic (4926094)
Anita Grgurevic (673271)

March 2018

Factors associated with prolonged and extreme patient delay: Results of logistic regression analy...

Factors associated with late presentation of MSM and heterosexual patients in multivariable logistic regression model†.

Paul Kwok-ming Poon (13794169)
Ngai-sze Wong (13794172)
Wai-shing Leung (13794175)
Bonnie Chun-kwan Wong (13794178)
Tsz-shan Kwong (13794181)
Tsz-ho Kwan (13794184)
Grace Chung-yan Lui (13794187)
Owen Tak-yin Tsang (6175874)
Man-po Lee (13794190)
Ka-hing Wong (13794193)
Shui-shan Lee (13794196)

September 2022

Factors associated with late presentation of MSM and heterosexual patients in multivariable logistic...

Ordinal logistic regression model estimating the probability of observing arthritis in the herd at particular true within-herd seroprevalence level.

Michał Czopowicz (713650)
Olga Szaluś-Jordanow (4382248)
Marcin Mickiewicz (4382251)
Agata Moroz (4485775)
Lucjan Witkowski (813003)
Andrzej Bereznowski (5113196)
Iwona Markowska-Daniel (697984)
Emilia Bagnicka (4032857)
Jarosław Kaba (4382254)

September 2018

Ordinal logistic regression model estimating the probability of observing arthritis in the herd at p...

Logistic regression for predictors of knowledge and attitude of food vendors.

Ogonna N. O. Nwankwo (4804032)
Ndubuisi Mokogwu (4804038)
Orighomisan Agboghoroma (4804035)
Fahmi O. Ahmed (4804041)
Kevin Mortimer (2813857)

January 2018

Logistic regression for predictors of knowledge and attitude of food vendors.</p

Ordered logistic regression- factors explaining diagnosis (late presentation) (n = 408).

Petmore Zibako (11861214)
Nomsa Tsikai (11861217)
Sarah Manyame (11861220)
Themba G. Ginindza (3692326)

September 2022

Ordered logistic regression- factors explaining diagnosis (late presentation) (n = 408).</p

Logistic ordinal regression models predicting recommended protective behaviors.

Camille Fritzell (3325305)
Jocelyn Raude (343887)
Antoine Adde (2634577)
Isabelle Dusfour (741917)
Philippe Quenel (2634580)
Claude Flamand (181755)

November 2016

Logistic ordinal regression models predicting recommended protective behaviors.</p

Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.

Elisa Pitteri (633775)
Paolo Mongillo (633776)
Paolo Carnier (633777)
Lieta Marinelli (633778)
Ludwig Huber (218979)

September 2014

OR = odds ratio, CI = confidence interval.Binary logistic regression model showing the...

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural Capricorn District and peri-urban Tlokwe sub-district.

Joy Ebonwu (4922641)
Alexandra Mumbauer (4922647)
Margot Uys (3149199)
Milton L. Wainberg (4922644)
Andrew Medina-Marino (556107)

March 2018

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural C...

Ordinal and logistic regression models for predictors of longer diagnosis time and delayed diagnosis respectively.

Mary Henry (3178944)
Noêmi GalAn (3178923)
Katherine Teasdale (3178929)
Renata Prado (3178941)
Harpreet Amar (3178926)
Marina S. Rays (3178938)
Lesley Roberts (3178935)
Pedro Siqueira (3178947)
Gilles de Wildt (3178932)
Marcos Virmond (3178950)
Pranab K. Das (2740366)

March 2016

Ordinal and logistic regression models for predictors of longer diagnosis time and delayed diagno...

Pooled logistic regression analysis (with fixed effects) of determinants of late presentation.

Joy Ebonwu (4922641)
Alexandra Mumbauer (4922647)
Margot Uys (3149199)
Milton L. Wainberg (4922644)
Andrew Medina-Marino (556107)

March 2018

Pooled logistic regression analysis (with fixed effects) of determinants of late presentation.</p

Ordinal logistic regression models of health behaviours by anticipated survival at wave 1, English Longitudinal Study of Ageing.

Jean Adams (16465)
Elaine Stamp (313276)
Daniel Nettle (198938)
Eugene M. G. Milne (2215138)
Carol Jagger (17435)

March 2015

Ordinal logistic regression models of health behaviours by anticipated survival at wave 1, Englis...

Logistic regression models for ordinal response: A study of self-efficacy in colorectal cancer screening

Dong, Yongquan

January 2007

The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...

A tutorial on selecting and interpreting predictive models for ordinal health-related outcomes

Guzman-Castillo, Maria
Brailsford, Sally
Luke, Michelle
Smith, Honora

December 2015

Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...

A tutorial on selecting and interpreting predictive models for ordinal health-related outcomes

Guzman-Castillo, Maria
Brailsford, Sally
Luke, Michelle
Smith, Honora

June 2015

Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...

Logistic regression model for delivery of papers at national scholarly meetings, with covariates.

Rodolfo Mendoza-Denton (3907093)
Colette Patt (3907090)
Aaron Fisher (767426)
Andrew Eppig (3907087)
Ira Young (3907096)
Andrew Smith (11197)
Mark A. Richards (3907084)

April 2017

Logistic regression model for delivery of papers at national scholarly meetings, with covariates....

Factors associated with prolonged and extreme patient delay: Results of logistic regression analysis.

Olivera Bojovic (4926097)
Milic Medenica (4926100)
Danko Zivkovic (4926106)
Bozidarka Rakocevic (4926103)
Goran Trajkovic (663038)
Darija Kisic-Tepavcevic (4926094)
Anita Grgurevic (673271)

March 2018

Factors associated with prolonged and extreme patient delay: Results of logistic regression analy...

Factors associated with late presentation of MSM and heterosexual patients in multivariable logistic regression model†.

Paul Kwok-ming Poon (13794169)
Ngai-sze Wong (13794172)
Wai-shing Leung (13794175)
Bonnie Chun-kwan Wong (13794178)
Tsz-shan Kwong (13794181)
Tsz-ho Kwan (13794184)
Grace Chung-yan Lui (13794187)
Owen Tak-yin Tsang (6175874)
Man-po Lee (13794190)
Ka-hing Wong (13794193)
Shui-shan Lee (13794196)

September 2022

Factors associated with late presentation of MSM and heterosexual patients in multivariable logistic...

Ordinal logistic regression model estimating the probability of observing arthritis in the herd at particular true within-herd seroprevalence level.

Michał Czopowicz (713650)
Olga Szaluś-Jordanow (4382248)
Marcin Mickiewicz (4382251)
Agata Moroz (4485775)
Lucjan Witkowski (813003)
Andrzej Bereznowski (5113196)
Iwona Markowska-Daniel (697984)
Emilia Bagnicka (4032857)
Jarosław Kaba (4382254)

September 2018

Ordinal logistic regression model estimating the probability of observing arthritis in the herd at p...

Logistic regression for predictors of knowledge and attitude of food vendors.

Ogonna N. O. Nwankwo (4804032)
Ndubuisi Mokogwu (4804038)
Orighomisan Agboghoroma (4804035)
Fahmi O. Ahmed (4804041)
Kevin Mortimer (2813857)

January 2018

Logistic regression for predictors of knowledge and attitude of food vendors.</p

Ordered logistic regression- factors explaining diagnosis (late presentation) (n = 408).

Petmore Zibako (11861214)
Nomsa Tsikai (11861217)
Sarah Manyame (11861220)
Themba G. Ginindza (3692326)

September 2022

Ordered logistic regression- factors explaining diagnosis (late presentation) (n = 408).</p

Logistic ordinal regression models predicting recommended protective behaviors.

Camille Fritzell (3325305)
Jocelyn Raude (343887)
Antoine Adde (2634577)
Isabelle Dusfour (741917)
Philippe Quenel (2634580)
Claude Flamand (181755)

November 2016

Logistic ordinal regression models predicting recommended protective behaviors.</p

Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.

Elisa Pitteri (633775)
Paolo Mongillo (633776)
Paolo Carnier (633777)
Lieta Marinelli (633778)
Ludwig Huber (218979)

September 2014

OR = odds ratio, CI = confidence interval.Binary logistic regression model showing the...

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural Capricorn District and peri-urban Tlokwe sub-district.

Joy Ebonwu (4922641)
Alexandra Mumbauer (4922647)
Margot Uys (3149199)
Milton L. Wainberg (4922644)
Andrew Medina-Marino (556107)

March 2018

Logistic regression analysis (with fixed effects) of determinants of late presentation in rural C...

Ordinal and logistic regression models for predictors of longer presentation time and delayed presentation respectively.

Abstract

Extracted data

Ordinal and logistic regression models for predictors of longer presentation time and delayed presentation respectively.

Abstract

Extracted data

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