Linear regression model with 97% windsorized yearly eGFR change as dependent variable.

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages as dependent variable (1999–2016).

Peter G. van der Velden (474704)
Ruud J. A. Muffels (6528503)
Roy Peijen (6528506)
Mark W. G. Bosmans (474705)

March 2019

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages...

Multiple linear regression analysis of the relationship between 2hPG-FPG and eGFR.

Chuan Wang (40516)
Jun Song (19318)
Zeqiang Ma (601815)
Weifang Yang (601816)
Chengqiao Li (601817)
Xiuping Zhang (334570)
Xinguo Hou (510458)
Yu Sun (18463)
Peng Lin (251745)
Kai Liang (198072)
Lei Gong (601818)
Meijian Wang (601819)
Fuqiang Liu (451879)
Wenjuan Li (308527)
Fei Yan (128878)
Junpeng Yang (601820)
Lingshu Wang (3204129)
Meng Tian (601821)
Jidong Liu (601822)
Ruxing Zhao (510455)
Li Chen (5749)

July 2014

Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Mode...

Simple linear regression analysis of factors related to ΔeGFR.

Michiya Ohno (661136)
Fumiko Deguchi (661137)
Kumiko Izumi (661138)
Hirotoshi Ishigaki (661139)
Hiroshi Sarui (661140)
Akihiko Sasaki (661141)
Tomonori Segawa (661142)
Takahiko Yamaki (661143)
Takao Kojima (661144)
Hiroshige Ohashi (661145)

November 2014

All values are expressed as mean ± SD.Abbreviations and symbols: eGFR, estimated glomerula...

Regression coefficients between the eGFR annual decline rate and the common risk factors in the multiple linear regression modeling.

Ching-Wei Tsai (3686764)
I-Wen Ting (3906997)
Hung-Chieh Yeh (3906994)
Chin-Chi Kuo (3686767)

April 2017

Regression coefficients between the eGFR annual decline rate and the common risk factors in the m...

Multivariable linear regression analysis for eGFR (ml/min/1.73m2) at 7 days, three months and one and three years post RTx (n = 210).

Katharina Schütte-Nütgen (3234903)
Markus Finke (6453989)
Sabrina Ehlert (6453992)
Gerold Thölking (650386)
Hermann Pavenstädt (108698)
Barbara Suwelack (650393)
Daniel Palmes (719714)
Ralf Bahde (2223172)
Raphael Koch (206532)
Stefan Reuter (199795)

March 2019

Multivariable linear regression analysis for eGFR (ml/min/1.73m2) at 7 days, three months and one an...

a. Univariate regression analysis of factors affecting eGFR change from baseline.

Tatiana Charbel (17598762)
Georgio El Koubayati (17598765)
Chloe Kharsa (17472072)
Mabel Aoun (4484530)

December 2023

b. Adjusted linear regression analysis of factors affecting eGFR change from baseline.</p

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of follow-up.

Rosbel M. Brito (6598172)
Duc T. Nguyen (690616)
Justine R. Johnson (6598175)
Eric J. Lai (6598178)
Rochelle E. Castro (6598181)
Angelina M. Albert (6598184)
Ann. S. Barnes (6598187)
Edward A. Graviss (37271)
Wadi N. Suki (6598190)

April 2019

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of foll...

Rate of eGFR decline (Slope and %Slope) evaluated by linear least-squares regression analysis using 15 factors at baseline.

Mika Baba (752768)
Takuro Shimbo (159443)
Masaru Horio (752769)
Masahiko Ando (579876)
Yoshinari Yasuda (588830)
Yasuhiro Komatsu (533158)
Katsunori Masuda (752770)
Seiichi Matsuo (588832)
Shoichi Maruyama (363455)

June 2015

Rate of eGFR decline (Slope and %Slope) evaluated by linear least-squares regression analysis usi...

Model parameters for annual change in eGFR based on person characteristics and conditions and baseline eGFR.

Benjamin O. Yarnoff (3154848)
Thomas J. Hoerger (3154857)
Sundar S. Shrestha (3143406)
Siobhan K. Simpson (5873765)
Nilka R. Burrows (3154863)
Amanda H. Anderson (5873768)
Dawei Xie (5873771)
Hsiang-Yu Chen (2321644)
Meda E. Pavkov (3154854)

October 2018

Model parameters for annual change in eGFR based on person characteristics and conditions and baseli...

Linear regression equations and statistics for each annual-age group.

Michael Romann (717536)
Stephen Cobley (382644)

April 2015

r = correlation coefficient; R2 = adjusted coefficient of determination;...

Results of linear regression models with (1) age, sex and body mass as independent variables or with (2) age alone as independent variable.

Evelien Van Roie (5172266)
Stijn Van Driessche (5172263)
Bas Huijben (6240212)
Remco Baggen (6240215)
Rob C. van Lummel (328679)
Christophe Delecluse (5172269)

January 2019

All dependent variables (power and duration) were log transformed. Exponentiated regression coeffici...

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

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

Linear model fit for the main model.

Russell B. Corbett-Detig (108808)
Daniel L. Hartl (109479)
Timothy B. Sackton (255045)

April 2015

Overall F-statistic: 18.24 on 4 and 35 DF, p-value: 3.518 × 10−8, adjusted R<su...

Estimated regression model for OvHR.

Abdul Kadar Muhammad Masum (694106)
Md. Abul Kalam Azad (516268)
Kazi Enamul Hoque (776872)
Loo-See Beh (694107)

July 2015

Note: R2- 0.284, F-statistic- 0.745 and P-value 0.009Estimated regression model...

Annual rate of change in MVD tertiles as predictors of annual rate of change in MAR and NAR, stratifying by sex, race and poverty status: Multiple ordinary least square regression models, HANDLS 2004−20135.

May A. Beydoun (617980)
Marie T. Fanelli-Kuczmarski (821887)
Jennifer Poti (5851301)
Allyssa Allen (821888)
Hind A. Beydoun (617983)
Michele K. Evans (27920)
Alan B. Zonderman (178692)

October 2018

Annual rate of change in MVD tertiles as predictors of annual rate of change in MAR and NAR, stratif...

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages as dependent variable (1999–2016).

Peter G. van der Velden (474704)
Ruud J. A. Muffels (6528503)
Roy Peijen (6528506)
Mark W. G. Bosmans (474705)

March 2019

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages...

Multiple linear regression analysis of the relationship between 2hPG-FPG and eGFR.

Chuan Wang (40516)
Jun Song (19318)
Zeqiang Ma (601815)
Weifang Yang (601816)
Chengqiao Li (601817)
Xiuping Zhang (334570)
Xinguo Hou (510458)
Yu Sun (18463)
Peng Lin (251745)
Kai Liang (198072)
Lei Gong (601818)
Meijian Wang (601819)
Fuqiang Liu (451879)
Wenjuan Li (308527)
Fei Yan (128878)
Junpeng Yang (601820)
Lingshu Wang (3204129)
Meng Tian (601821)
Jidong Liu (601822)
Ruxing Zhao (510455)
Li Chen (5749)

July 2014

Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Mode...

Simple linear regression analysis of factors related to ΔeGFR.

Michiya Ohno (661136)
Fumiko Deguchi (661137)
Kumiko Izumi (661138)
Hirotoshi Ishigaki (661139)
Hiroshi Sarui (661140)
Akihiko Sasaki (661141)
Tomonori Segawa (661142)
Takahiko Yamaki (661143)
Takao Kojima (661144)
Hiroshige Ohashi (661145)

November 2014

All values are expressed as mean ± SD.Abbreviations and symbols: eGFR, estimated glomerula...

Regression coefficients between the eGFR annual decline rate and the common risk factors in the multiple linear regression modeling.

Ching-Wei Tsai (3686764)
I-Wen Ting (3906997)
Hung-Chieh Yeh (3906994)
Chin-Chi Kuo (3686767)

April 2017

Regression coefficients between the eGFR annual decline rate and the common risk factors in the m...

Multivariable linear regression analysis for eGFR (ml/min/1.73m2) at 7 days, three months and one and three years post RTx (n = 210).

Katharina Schütte-Nütgen (3234903)
Markus Finke (6453989)
Sabrina Ehlert (6453992)
Gerold Thölking (650386)
Hermann Pavenstädt (108698)
Barbara Suwelack (650393)
Daniel Palmes (719714)
Ralf Bahde (2223172)
Raphael Koch (206532)
Stefan Reuter (199795)

March 2019

Multivariable linear regression analysis for eGFR (ml/min/1.73m2) at 7 days, three months and one an...

a. Univariate regression analysis of factors affecting eGFR change from baseline.

Tatiana Charbel (17598762)
Georgio El Koubayati (17598765)
Chloe Kharsa (17472072)
Mabel Aoun (4484530)

December 2023

b. Adjusted linear regression analysis of factors affecting eGFR change from baseline.</p

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of follow-up.

Rosbel M. Brito (6598172)
Duc T. Nguyen (690616)
Justine R. Johnson (6598175)
Eric J. Lai (6598178)
Rochelle E. Castro (6598181)
Angelina M. Albert (6598184)
Ann. S. Barnes (6598187)
Edward A. Graviss (37271)
Wadi N. Suki (6598190)

April 2019

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of foll...

Rate of eGFR decline (Slope and %Slope) evaluated by linear least-squares regression analysis using 15 factors at baseline.

Mika Baba (752768)
Takuro Shimbo (159443)
Masaru Horio (752769)
Masahiko Ando (579876)
Yoshinari Yasuda (588830)
Yasuhiro Komatsu (533158)
Katsunori Masuda (752770)
Seiichi Matsuo (588832)
Shoichi Maruyama (363455)

June 2015

Rate of eGFR decline (Slope and %Slope) evaluated by linear least-squares regression analysis usi...

Model parameters for annual change in eGFR based on person characteristics and conditions and baseline eGFR.

Benjamin O. Yarnoff (3154848)
Thomas J. Hoerger (3154857)
Sundar S. Shrestha (3143406)
Siobhan K. Simpson (5873765)
Nilka R. Burrows (3154863)
Amanda H. Anderson (5873768)
Dawei Xie (5873771)
Hsiang-Yu Chen (2321644)
Meda E. Pavkov (3154854)

October 2018

Model parameters for annual change in eGFR based on person characteristics and conditions and baseli...

Linear regression equations and statistics for each annual-age group.

Michael Romann (717536)
Stephen Cobley (382644)

April 2015

r = correlation coefficient; R2 = adjusted coefficient of determination;...

Results of linear regression models with (1) age, sex and body mass as independent variables or with (2) age alone as independent variable.

Evelien Van Roie (5172266)
Stijn Van Driessche (5172263)
Bas Huijben (6240212)
Remco Baggen (6240215)
Rob C. van Lummel (328679)
Christophe Delecluse (5172269)

January 2019

All dependent variables (power and duration) were log transformed. Exponentiated regression coeffici...

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

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

Linear model fit for the main model.

Russell B. Corbett-Detig (108808)
Daniel L. Hartl (109479)
Timothy B. Sackton (255045)

April 2015

Overall F-statistic: 18.24 on 4 and 35 DF, p-value: 3.518 × 10−8, adjusted R<su...

Estimated regression model for OvHR.

Abdul Kadar Muhammad Masum (694106)
Md. Abul Kalam Azad (516268)
Kazi Enamul Hoque (776872)
Loo-See Beh (694107)

July 2015

Note: R2- 0.284, F-statistic- 0.745 and P-value 0.009Estimated regression model...

Annual rate of change in MVD tertiles as predictors of annual rate of change in MAR and NAR, stratifying by sex, race and poverty status: Multiple ordinary least square regression models, HANDLS 2004−20135.

May A. Beydoun (617980)
Marie T. Fanelli-Kuczmarski (821887)
Jennifer Poti (5851301)
Allyssa Allen (821888)
Hind A. Beydoun (617983)
Michele K. Evans (27920)
Alan B. Zonderman (178692)

October 2018

Annual rate of change in MVD tertiles as predictors of annual rate of change in MAR and NAR, stratif...

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages as dependent variable (1999–2016).

Peter G. van der Velden (474704)
Ruud J. A. Muffels (6528503)
Roy Peijen (6528506)
Mark W. G. Bosmans (474705)

March 2019

Results of fixed-effects linear panel regression models for low-wage groups, with gross annual wages...

Multiple linear regression analysis of the relationship between 2hPG-FPG and eGFR.

Chuan Wang (40516)
Jun Song (19318)
Zeqiang Ma (601815)
Weifang Yang (601816)
Chengqiao Li (601817)
Xiuping Zhang (334570)
Xinguo Hou (510458)
Yu Sun (18463)
Peng Lin (251745)
Kai Liang (198072)
Lei Gong (601818)
Meijian Wang (601819)
Fuqiang Liu (451879)
Wenjuan Li (308527)
Fei Yan (128878)
Junpeng Yang (601820)
Lingshu Wang (3204129)
Meng Tian (601821)
Jidong Liu (601822)
Ruxing Zhao (510455)
Li Chen (5749)

July 2014

Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Mode...

Simple linear regression analysis of factors related to ΔeGFR.

Michiya Ohno (661136)
Fumiko Deguchi (661137)
Kumiko Izumi (661138)
Hirotoshi Ishigaki (661139)
Hiroshi Sarui (661140)
Akihiko Sasaki (661141)
Tomonori Segawa (661142)
Takahiko Yamaki (661143)
Takao Kojima (661144)
Hiroshige Ohashi (661145)

November 2014

All values are expressed as mean ± SD.Abbreviations and symbols: eGFR, estimated glomerula...

Linear regression model with 97% windsorized yearly eGFR change as dependent variable.

Abstract

Extracted data

Linear regression model with 97% windsorized yearly eGFR change as dependent variable.

Abstract

Extracted data

Related items

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