Ask
Search
My library
ORKG

ORKG Ask

Our mission is to organize scholarly knowledge and make it accessible to humans and machines.

About

About ORKG Ask
Report issue
Statistics
Contact

Legal

Terms of use
Data protection (sheet)
Imprint
Accessibility
License

Technical

We
open source
System status
Changelog
Frontend: v1.41.0
Backend: v1.13.4

We use cookies to provide a better user experience.

Data Protection

Reduced baseline logistic regression model for development of DSS and its performance (N = 2301).

Phung Khanh Lam (275912)
Tran Van Ngoc (267873)
Truong Thi Thu Thuy (3965789)
Nguyen Thi Hong Van (3965792)
Tran Thi Nhu Thuy (3965786)
Dong Thi Hoai Tam (735647)
Nguyen Minh Dung (267872)
Nguyen Thi Hanh Tien (275911)
Nguyen Tan Thanh Kieu (275915)
Cameron Simmons (74669)
Bridget Wills (74672)
Marcel Wolbers (33689)

Publication date

April 2017

DOI

10.1371/journal.pntd.0005498.t003

Abstract

<p>Reduced baseline logistic regression model for development of DSS and its performance (N = 2301).</p

Extracted data

Topics

thumbnail of dbpedia resource

logistic regression

Related items

Standardized regression weights predicting baseline scores and change trajectories of object names and proper names based on the final conditional model (n = 5,907).

Gitit Kavé (4798302)
Shimon Fridkin (4798305)
Liat Ayalon (4798308)

January 2018

<p>Standardized regression weights predicting baseline scores and change trajectories of object name...

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary adverse effects employing clinical parameters.

Kerstin Pohl (148204)
David P. Nichols (196771)
Jennifer L. Taylor-Cousar (267640)
Milene T. Saavedra (344954)
Matthew J. Strand (139566)
Jerry A. Nick (344955)
Preston E. Bratcher (313359)

December 2018

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary...

Multiple logistic regression analysis of clinical baseline variables in clinically isolated syndrome and multiple sclerosis patients (n = 70).

Johannes Ehler (780146)
Sebastian Koball (780147)
Martin Sauer (780148)
Steffen Mitzner (780149)
Heiko Hickstein (780150)
Reiner Benecke (159146)
Uwe K. Zettl (441521)

August 2015

<p>CIS = clinically isolated syndrome, DMD = disease modifying drug, EDSS = expanded disability stat...

Logistic regression analysis of the baseline model.

Xingyu Zhang (408987)
Brett R. Cowan (652798)
David A. Bluemke (283154)
J. Paul Finn (652799)
Carissa G. Fonseca (652800)
Alan H. Kadish (652801)
Daniel C. Lee (395644)
Joao A. C. Lima (109957)
Avan Suinesiaputra (652802)
Alistair A. Young (408988)
Pau Medrano-Gracia (652803)

October 2014

‡<p>p<0.01 * p<0.0001.</p><p>Logistic regression analysis of the baseline model.</p

Logistic regression analyses of the baseline factors and radioactive iodine-refractory.

Chen Wang (88408)
Xin Zhang (35492)
Hui Li (32376)
Xin Li (51274)
Yansong Lin (2605975)

July 2017

<p>Logistic regression analyses of the baseline factors and radioactive iodine-refractory.</p

Logistic regression model for distinguishing individuals who discontinued treatment combining clinical and molecular parameters.

Kerstin Pohl (148204)
David P. Nichols (196771)
Jennifer L. Taylor-Cousar (267640)
Milene T. Saavedra (344954)
Matthew J. Strand (139566)
Jerry A. Nick (344955)
Preston E. Bratcher (313359)

December 2018

Logistic regression model for distinguishing individuals who discontinued treatment combining clinic...

Effects of Normalization Techniques on Logistic Regression in Data Science

Adeyemo, Nureni Adekunle
Wimmer, Hayden
Powell, Loreen

August 2019

The improvements in the data science profession have allowed the introduction of several mathematica...

Logistic regression model to assess the predictive power of EuroSCORE I levels.

Martin Czerny (384653)
Ilan Barchichat (384654)
Katharina Meszaros (384655)
Gottfried H. Sodeck (384656)
Alberto Weber (384657)
David Reineke (384658)
Lars Englberger (384659)
Florian Schönhoff (384660)
Alexander Kadner (358262)
Hansjörg Jenni (384661)
Jürg Schmidli (384662)
Thierry P. Carrel (142414)

March 2013

<p>Logistic regression model to assess the predictive power of EuroSCORE I levels.</p

Logistic regression investigating the impact of service model type on recovery outcome and demographic variables.

Lisa Boyd (6569864)
Emma Baker (5599862)
Joe Reilly (543274)

April 2019

Logistic regression investigating the impact of service model type on recovery outcome and demograph...

Simple and multiple logistic regression analyses in the development cohort.

Jae Young Park (505091)
Sungroh Yoon (74285)
Man Sik Park (555682)
Hoon Choi (65540)
Jae Hyun Bae (378084)
Du Geon Moon (3612071)
Sung Kyu Hong (423172)
Sang Eun Lee (123924)
Chanwang Park (3612068)
Seok-Soo Byun (423173)

January 2017

<p>Simple and multiple logistic regression analyses in the development cohort.</p

Univariable logistic regression models for EF-status (0: Normal, 1: Reduced).

Bernhard Hametner (819993)
Stephanie Parragh (819994)
Thomas Weber (819995)
Siegfried Wassertheurer (819998)

June 2017

<p>Univariable logistic regression models for EF-status (0: Normal, 1: Reduced).</p

Logistic regression model with the dependent variable PPS (dichotomous), N = 2859.

Simone Pisano (4220266)
Pietro Muratori (347209)
Vincenzo Paolo Senese (489502)
Chiara Gorga (6175811)
Margherita Siciliano (6175814)
Marco Carotenuto (6175817)
Raffaella Iuliano (6175820)
Carmela Bravaccio (6100226)
Simona Signoriello (362962)
Antonella Gritti (6175823)
Antonio Pascotto (6175826)
Gennaro Catone (6175829)

January 2019

Logistic regression model with the dependent variable PPS (dichotomous), N = 2859.</p

Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).

Eric R. Braverman (277782)
Kenneth Blum (277781)
Karl L. Hussman (780216)
David Han (432143)
Kristina Dushaj (398826)
Mona Li (633882)
Gabriela Marin (780217)
Rajendra D. Badgaiyan (338181)
Richard Smayda (780218)
Mark S. Gold (121308)

August 2015

<p>Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).</p

Logistic regression model for characteristics and insurance utilization (n = 772).

Rui Wang (52434)
Chenjin Ma (4741281)
Kun Jiang (166885)
Ming Li (91180)
Shuangge Ma (31881)

June 2018

<p>Logistic regression model for characteristics and insurance utilization (n = 772).</p

Logistic regression model of the impact of setting, prevention level, and study design on the odds that included studies would report a significant or non-significant finding.

Tina M. Olsson (11119533)
Knut Sundell (5600987)

February 2023

Logistic regression model of the impact of setting, prevention level, and study design on the odds t...

Standardized regression weights predicting baseline scores and change trajectories of object names and proper names based on the final conditional model (n = 5,907).

Gitit Kavé (4798302)
Shimon Fridkin (4798305)
Liat Ayalon (4798308)

January 2018

<p>Standardized regression weights predicting baseline scores and change trajectories of object name...

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary adverse effects employing clinical parameters.

Kerstin Pohl (148204)
David P. Nichols (196771)
Jennifer L. Taylor-Cousar (267640)
Milene T. Saavedra (344954)
Matthew J. Strand (139566)
Jerry A. Nick (344955)
Preston E. Bratcher (313359)

December 2018

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary...

Multiple logistic regression analysis of clinical baseline variables in clinically isolated syndrome and multiple sclerosis patients (n = 70).

Johannes Ehler (780146)
Sebastian Koball (780147)
Martin Sauer (780148)
Steffen Mitzner (780149)
Heiko Hickstein (780150)
Reiner Benecke (159146)
Uwe K. Zettl (441521)

August 2015

<p>CIS = clinically isolated syndrome, DMD = disease modifying drug, EDSS = expanded disability stat...

Logistic regression analysis of the baseline model.

Xingyu Zhang (408987)
Brett R. Cowan (652798)
David A. Bluemke (283154)
J. Paul Finn (652799)
Carissa G. Fonseca (652800)
Alan H. Kadish (652801)
Daniel C. Lee (395644)
Joao A. C. Lima (109957)
Avan Suinesiaputra (652802)
Alistair A. Young (408988)
Pau Medrano-Gracia (652803)

October 2014

‡<p>p<0.01 * p<0.0001.</p><p>Logistic regression analysis of the baseline model.</p

Logistic regression analyses of the baseline factors and radioactive iodine-refractory.

Chen Wang (88408)
Xin Zhang (35492)
Hui Li (32376)
Xin Li (51274)
Yansong Lin (2605975)

July 2017

<p>Logistic regression analyses of the baseline factors and radioactive iodine-refractory.</p

Logistic regression model for distinguishing individuals who discontinued treatment combining clinical and molecular parameters.

Kerstin Pohl (148204)
David P. Nichols (196771)
Jennifer L. Taylor-Cousar (267640)
Milene T. Saavedra (344954)
Matthew J. Strand (139566)
Jerry A. Nick (344955)
Preston E. Bratcher (313359)

December 2018

Logistic regression model for distinguishing individuals who discontinued treatment combining clinic...

Effects of Normalization Techniques on Logistic Regression in Data Science

Adeyemo, Nureni Adekunle
Wimmer, Hayden
Powell, Loreen

August 2019

The improvements in the data science profession have allowed the introduction of several mathematica...

Logistic regression model to assess the predictive power of EuroSCORE I levels.

Martin Czerny (384653)
Ilan Barchichat (384654)
Katharina Meszaros (384655)
Gottfried H. Sodeck (384656)
Alberto Weber (384657)
David Reineke (384658)
Lars Englberger (384659)
Florian Schönhoff (384660)
Alexander Kadner (358262)
Hansjörg Jenni (384661)
Jürg Schmidli (384662)
Thierry P. Carrel (142414)

March 2013

<p>Logistic regression model to assess the predictive power of EuroSCORE I levels.</p

Logistic regression investigating the impact of service model type on recovery outcome and demographic variables.

Lisa Boyd (6569864)
Emma Baker (5599862)
Joe Reilly (543274)

April 2019

Logistic regression investigating the impact of service model type on recovery outcome and demograph...

Simple and multiple logistic regression analyses in the development cohort.

Jae Young Park (505091)
Sungroh Yoon (74285)
Man Sik Park (555682)
Hoon Choi (65540)
Jae Hyun Bae (378084)
Du Geon Moon (3612071)
Sung Kyu Hong (423172)
Sang Eun Lee (123924)
Chanwang Park (3612068)
Seok-Soo Byun (423173)

January 2017

<p>Simple and multiple logistic regression analyses in the development cohort.</p

Univariable logistic regression models for EF-status (0: Normal, 1: Reduced).

Bernhard Hametner (819993)
Stephanie Parragh (819994)
Thomas Weber (819995)
Siegfried Wassertheurer (819998)

June 2017

<p>Univariable logistic regression models for EF-status (0: Normal, 1: Reduced).</p

Logistic regression model with the dependent variable PPS (dichotomous), N = 2859.

Simone Pisano (4220266)
Pietro Muratori (347209)
Vincenzo Paolo Senese (489502)
Chiara Gorga (6175811)
Margherita Siciliano (6175814)
Marco Carotenuto (6175817)
Raffaella Iuliano (6175820)
Carmela Bravaccio (6100226)
Simona Signoriello (362962)
Antonella Gritti (6175823)
Antonio Pascotto (6175826)
Gennaro Catone (6175829)

January 2019

Logistic regression model with the dependent variable PPS (dichotomous), N = 2859.</p

Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).

Eric R. Braverman (277782)
Kenneth Blum (277781)
Karl L. Hussman (780216)
David Han (432143)
Kristina Dushaj (398826)
Mona Li (633882)
Gabriela Marin (780217)
Rajendra D. Badgaiyan (338181)
Richard Smayda (780218)
Mark S. Gold (121308)

August 2015

<p>Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).</p

Logistic regression model for characteristics and insurance utilization (n = 772).

Rui Wang (52434)
Chenjin Ma (4741281)
Kun Jiang (166885)
Ming Li (91180)
Shuangge Ma (31881)

June 2018

<p>Logistic regression model for characteristics and insurance utilization (n = 772).</p

Logistic regression model of the impact of setting, prevention level, and study design on the odds that included studies would report a significant or non-significant finding.

Tina M. Olsson (11119533)
Knut Sundell (5600987)

February 2023

Logistic regression model of the impact of setting, prevention level, and study design on the odds t...

Standardized regression weights predicting baseline scores and change trajectories of object names and proper names based on the final conditional model (n = 5,907).

Gitit Kavé (4798302)
Shimon Fridkin (4798305)
Liat Ayalon (4798308)

January 2018

<p>Standardized regression weights predicting baseline scores and change trajectories of object name...

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary adverse effects employing clinical parameters.

Kerstin Pohl (148204)
David P. Nichols (196771)
Jennifer L. Taylor-Cousar (267640)
Milene T. Saavedra (344954)
Matthew J. Strand (139566)
Jerry A. Nick (344955)
Preston E. Bratcher (313359)

December 2018

Logistic regression model for distinguishing individuals who discontinued treatment due to pulmonary...

Multiple logistic regression analysis of clinical baseline variables in clinically isolated syndrome and multiple sclerosis patients (n = 70).

Johannes Ehler (780146)
Sebastian Koball (780147)
Martin Sauer (780148)
Steffen Mitzner (780149)
Heiko Hickstein (780150)
Reiner Benecke (159146)
Uwe K. Zettl (441521)

August 2015

<p>CIS = clinically isolated syndrome, DMD = disease modifying drug, EDSS = expanded disability stat...