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

Logistic regression models to adjust the effect of total scale score in predicting the physician diagnosis of neuropathic pain.

Amani Abu-Shaheen (4966288)
Shehu Yousef (4966282)
Muhammad Riaz (104236)
Abdullah Nofal (4966291)
Sarfaraz Khan (4966285)
Humariya Heena (4966294)

March 2018

Logistic regression models to adjust the effect of total scale score in predicting the physician ...

Logistic regression analysis for predictors of unfavourable neurological outcome.

Enrica Iesu (5931854)
Federico Franchi (4355680)
Federica Zama Cavicchi (5931857)
Selene Pozzebon (5931860)
Vito Fontana (3548246)
Manuel Mendoza (4421125)
Leda Nobile (3558893)
Sabino Scolletta (65043)
Jean-Louis Vincent (11813)
Jacques Creteur (3548243)
Fabio Silvio Taccone (5931863)

November 2018

Logistic regression analysis for predictors of unfavourable neurological outcome.</p

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model predicting persons told by a physician that they that fibromyalgia (including Polysymptomatic Distress Score).

Brian Walitt (392213)
Robert S. Katz (523296)
Martin J. Bergman (797184)
Frederick Wolfe (321309)

June 2016

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model pre...

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

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...

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...

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...

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 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...

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

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

Results of generalized ordinal logistic regression model assessing the effect of early vs. late surgical decompression, adjusted for preoperative neurological status and steroid administration.

Michael G. Fehlings (142465)
Alexander Vaccaro (331487)
Jefferson R. Wilson (331489)
Anoushka Singh (331491)
David W. Cadotte (306927)
James S. Harrop (331493)
Bizhan Aarabi (331494)
Christopher Shaffrey (331496)
Marcel Dvorak (331497)
Charles Fisher (331498)
Paul Arnold (147900)
Eric M. Massicotte (331500)
Stephen Lewis (331502)
Raja Rampersaud (331504)

February 2013

Results of generalized ordinal logistic regression model assessing the effect of early vs. late s...

Factors associated with prolonged and extreme health system 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 health system delay: Results of logistic regression...

Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, peak RSI and delta-RSI with any RSI score.

Ajay Sheshadri (5233835)
Dimpy P. Shah (5233826)
Myrna Godoy (5233829)
Jeremy J. Erasmus (170004)
Juhee Song (1739926)
Liang Li (46069)
Scott E. Evans (334075)
Roy F. Chemaly (824391)
Burton F. Dickey (334073)
David E. Ost (5233832)

May 2018

Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...

Univariate logistic regression for predictors of general symptoms regression compared to no change or symptom progression.

Jimy Pinto (4376539)
Malia Skjefte (16735571)
Julio Alonso-Padilla (669773)
Daniel Franz Lozano Beltran (17711968)
Lilian Victoria Pinto (17711971)
Aina Casellas (1888516)
Mery Elena Arteaga Terrazas (17711974)
Karen Alejandra Toledo Galindo (17711977)
Roxana Challapa Quechover (17711980)
María Escobar Caballero (17711983)
Alejandra Perez Salinas (17711986)
Mario Castellón Jimenez (17711989)
Sergi Sanz (89754)
Joaquim Gascón (91277)
Faustino Torrico (102187)
María Jesús Pinazo (8156535)

December 2023

Univariate logistic regression for predictors of general symptoms regression compared to no change o...

Logistic regression models to adjust the effect of total scale score in predicting the physician diagnosis of neuropathic pain.

Amani Abu-Shaheen (4966288)
Shehu Yousef (4966282)
Muhammad Riaz (104236)
Abdullah Nofal (4966291)
Sarfaraz Khan (4966285)
Humariya Heena (4966294)

March 2018

Logistic regression models to adjust the effect of total scale score in predicting the physician ...

Logistic regression analysis for predictors of unfavourable neurological outcome.

Enrica Iesu (5931854)
Federico Franchi (4355680)
Federica Zama Cavicchi (5931857)
Selene Pozzebon (5931860)
Vito Fontana (3548246)
Manuel Mendoza (4421125)
Leda Nobile (3558893)
Sabino Scolletta (65043)
Jean-Louis Vincent (11813)
Jacques Creteur (3548243)
Fabio Silvio Taccone (5931863)

November 2018

Logistic regression analysis for predictors of unfavourable neurological outcome.</p

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model predicting persons told by a physician that they that fibromyalgia (including Polysymptomatic Distress Score).

Brian Walitt (392213)
Robert S. Katz (523296)
Martin J. Bergman (797184)
Frederick Wolfe (321309)

June 2016

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model pre...

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

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...

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...

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...

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 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...

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

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

Results of generalized ordinal logistic regression model assessing the effect of early vs. late surgical decompression, adjusted for preoperative neurological status and steroid administration.

Michael G. Fehlings (142465)
Alexander Vaccaro (331487)
Jefferson R. Wilson (331489)
Anoushka Singh (331491)
David W. Cadotte (306927)
James S. Harrop (331493)
Bizhan Aarabi (331494)
Christopher Shaffrey (331496)
Marcel Dvorak (331497)
Charles Fisher (331498)
Paul Arnold (147900)
Eric M. Massicotte (331500)
Stephen Lewis (331502)
Raja Rampersaud (331504)

February 2013

Results of generalized ordinal logistic regression model assessing the effect of early vs. late s...

Factors associated with prolonged and extreme health system 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 health system delay: Results of logistic regression...

Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, peak RSI and delta-RSI with any RSI score.

Ajay Sheshadri (5233835)
Dimpy P. Shah (5233826)
Myrna Godoy (5233829)
Jeremy J. Erasmus (170004)
Juhee Song (1739926)
Liang Li (46069)
Scott E. Evans (334075)
Roy F. Chemaly (824391)
Burton F. Dickey (334073)
David E. Ost (5233832)

May 2018

Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...

Univariate logistic regression for predictors of general symptoms regression compared to no change or symptom progression.

Jimy Pinto (4376539)
Malia Skjefte (16735571)
Julio Alonso-Padilla (669773)
Daniel Franz Lozano Beltran (17711968)
Lilian Victoria Pinto (17711971)
Aina Casellas (1888516)
Mery Elena Arteaga Terrazas (17711974)
Karen Alejandra Toledo Galindo (17711977)
Roxana Challapa Quechover (17711980)
María Escobar Caballero (17711983)
Alejandra Perez Salinas (17711986)
Mario Castellón Jimenez (17711989)
Sergi Sanz (89754)
Joaquim Gascón (91277)
Faustino Torrico (102187)
María Jesús Pinazo (8156535)

December 2023

Univariate logistic regression for predictors of general symptoms regression compared to no change o...

Logistic regression models to adjust the effect of total scale score in predicting the physician diagnosis of neuropathic pain.

Amani Abu-Shaheen (4966288)
Shehu Yousef (4966282)
Muhammad Riaz (104236)
Abdullah Nofal (4966291)
Sarfaraz Khan (4966285)
Humariya Heena (4966294)

March 2018

Logistic regression models to adjust the effect of total scale score in predicting the physician ...

Logistic regression analysis for predictors of unfavourable neurological outcome.

Enrica Iesu (5931854)
Federico Franchi (4355680)
Federica Zama Cavicchi (5931857)
Selene Pozzebon (5931860)
Vito Fontana (3548246)
Manuel Mendoza (4421125)
Leda Nobile (3558893)
Sabino Scolletta (65043)
Jean-Louis Vincent (11813)
Jacques Creteur (3548243)
Fabio Silvio Taccone (5931863)

November 2018

Logistic regression analysis for predictors of unfavourable neurological outcome.</p

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model predicting persons told by a physician that they that fibromyalgia (including Polysymptomatic Distress Score).

Brian Walitt (392213)
Robert S. Katz (523296)
Martin J. Bergman (797184)
Frederick Wolfe (321309)

June 2016

Multivariable logistic regression of predictors of physician diagnosis of fibromyalgia: Model pre...

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

Abstract

Extracted data

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

Abstract

Extracted data

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