Results of clinical and metabolic parameters* adjusted multiple logistic regression analysis with urine albumin creatinine ratio as the dependent variable.

Regression coefficients for the relationship between metabolic characteristics and log adiponectin.

Andrew Mente (347050)
David Meyre (58250)
Matthew B. Lanktree (113555)
Mahyar Heydarpour (426087)
A. Darlene Davis (426088)
Ruby Miller (426089)
Hertzel Gerstein (426090)
Robert A. Hegele (113679)
Salim Yusuf (84083)
Sonia S. Anand (113667)

June 2013

Regression coefficients for the relationship between metabolic characteristics and log adiponecti...

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters) associated with OPN or IL-18 level as a dependent variable.

Rasheed Ahmad (412118)
Anfal Al-Mass (412119)
Dalal Al-Ghawas (412120)
Nada Shareif (412121)
Nadia Zghoul (412122)
Motasem Melhem (412123)
Amal Hasan (412124)
Fahad Al-Ghimlas (412125)
Said Dermime (79420)
Kazem Behbehani (412126)

May 2013

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters...

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevation of ≥ 0.5 mg/dL.

Hyo Jun Ahn (3692455)
Myeong Jun Song (3692452)
Jeong Won Jang (727280)
Si Hyun Bae (479006)
Jong Young Choi (479010)
Seung Kew Yoon (479011)

January 2017

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevat...

Results of multiple logistic regression analysis with hyperfiltration as the dependent variable adjusted with clinical and metabolic parameters*.

Sangmo Hong (2610259)
Yun Mi Choi (732104)
Sung-Hee Ihm (6058172)
Dooman Kim (6058175)
Moon-Gi Choi (763757)
Jae Myung Yu (4471231)
Eun-Gyoung Hong (363850)

December 2018

Results of multiple logistic regression analysis with hyperfiltration as the dependent variable adju...

Correlation between the urine albumin-to-creatinine ratio (ACR) and the total urine protein-to-creatinine ratio (TPCR).

Kyoko Yamamoto (533146)
Hiroyuki Yamamoto (31403)
Katsumi Yoshida (533147)
Koichiro Niwa (533148)
Yutaro Nishi (533149)
Atsushi Mizuno (533150)
Masanari Kuwabara (533151)
Taku Asano (533152)
Kunihiro Sakoda (533153)
Hiroyuki Niinuma (533154)
Fumiko Nakahara (533155)
Kyoko Takeda (533156)
Chiyohiko Shindoh (533157)
Yasuhiro Komatsu (533158)

March 2014

All of the axes are on a logarithmic scale. The regression expression was written as follows: ln ...

Multiple logistic regression analysis of risk factors for developing microalbuminuria and albuminuria.

Yi-Yen Lee (271429)
Chih-Kai Yang (727704)
Yi-Ming Weng (575110)
Chung-Hsun Chuang (3165081)
Wei Yu (43094)
Jih-Chang Chen (56326)
Wen-Cheng Li (267110)

June 2016

Multiple logistic regression analysis of risk factors for developing microalbuminuria and albumin...

Yun-Ting Huang (2167201)
Ming-Yan Jiang (707446)
Jyh-Chang Hwang (707445)

November 2022

Factors correlated to serum albumin to prealbumin ratio by simple and multiple linear regression ana...

Logistic Regression Analysis with hs-CRP as the Outcome Variable and Anthropometric and Metabolic Variables as Co-variates.

Priyanka Nigam (289239)
Surya P. Bhatt (289240)
Anoop Misra (289241)
Meera Vaidya (289243)
Jharna Dasgupta (289245)
Davinder Singh Chadha (289249)

February 2013

Logistic Regression Analysis with hs-CRP as the Outcome Variable and Anthropometric and Metabolic...

Multiple logistic regression analysis for metabolic syndrome and its components according to the value of UpH.

Seung Min Chung (5683787)
Jun Sung Moon (5683790)
Ji Sung Yoon (5683793)
Kyu Chang Won (5683796)
Hyoung Woo Lee (5683799)

August 2018

Multiple logistic regression analysis for metabolic syndrome and its components according to the val...

Spearman Correlation of Urine Albumin-Creatinine Ratio with Biological Variables.

Kenneth I. Ataga (335509)
Vimal K. Derebail (3138321)
Melissa Caughey (3138324)
Laila Elsherif (335061)
Jessica H. Shen (656221)
Susan K. Jones (689446)
Poulami Maitra (3138315)
David M. Pollock (3138312)
Jianwen Cai (3138309)
David R. Archer (3138318)
Alan L. Hinderliter (3138306)

September 2016

Spearman Correlation of Urine Albumin-Creatinine Ratio with Biological Variables.</p

Multiple logistic regression analyses for albuminuria or macroalbuminuria.

Jong Chul Won (502937)
Yun Jeong Lee (463980)
Jung Min Kim (502938)
Sang Youb Han (407598)
Jung Hyun Noh (150932)
Kyung Soo Ko (141360)
Byoung Doo Rhee (141366)
Dong-Jun Kim (463984)

December 2013

a Microalbuminuria or macroalbuminuria versus normoalbuminuria (reference).<sup...

Logistic Regression Analysis using serum protein concentration, before and after adjusting for covariates.

Jiangnan Wang (726050)
Rong Ma (500564)
Ashok Sharma (54361)
Mingfang He (482440)
Jing Xue (170229)
Jianzhong Wu (465178)
Boying Dun (485806)
Gang Li (34549)
Xiaoxiao Wang (337498)
Minghua Ji (726051)
Jin-Xiong She (54365)
Jinhai Tang (482442)

April 2015

Logistic Regression Analysis using serum protein concentration, before and after adjusting for co...

Logistic regression analyses of urinary cotinine levels of ≥ 50 and ≥ 30 ng/mL.

Jae Won Hong (644099)
Jung Hyun Noh (150932)
Dong-Jun Kim (463984)

June 2018

Logistic regression analyses of urinary cotinine levels of ≥ 50 and ≥ 30 ng/mL.</p

Linear regression analysis with components of metabolic syndrome as independent variables and log transformation of serum S14 level (logS14) as dependent variable, adjusted with age and sex.

Yen-Ting Chen (684705)
Ping-Huei Tseng (539039)
Fen-Yu Tseng (634327)
Yu-Chiao Chi (443794)
Der-Sheng Han (445808)
Wei-Shiung Yang (28865)

February 2019

Linear regression analysis with components of metabolic syndrome as independent variables and log tr...

Logistic regression analysis of BPV parameter as predictors for END according to renal function.

Jae-Chan Ryu (2850581)
Jae-Han Bae (13751530)
Sang Hee Ha (13751533)
Jun Young Chang (3716227)
Dong-Wha Kang (830972)
Sun U. Kwon (8829458)
Jong S. Kim (7647188)
Chung Hee Baek (11383766)
Bum Joon Kim (7514822)

September 2022

Logistic regression analysis of BPV parameter as predictors for END according to renal function.</p

Regression coefficients for the relationship between metabolic characteristics and log adiponectin.

Andrew Mente (347050)
David Meyre (58250)
Matthew B. Lanktree (113555)
Mahyar Heydarpour (426087)
A. Darlene Davis (426088)
Ruby Miller (426089)
Hertzel Gerstein (426090)
Robert A. Hegele (113679)
Salim Yusuf (84083)
Sonia S. Anand (113667)

June 2013

Regression coefficients for the relationship between metabolic characteristics and log adiponecti...

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters) associated with OPN or IL-18 level as a dependent variable.

Rasheed Ahmad (412118)
Anfal Al-Mass (412119)
Dalal Al-Ghawas (412120)
Nada Shareif (412121)
Nadia Zghoul (412122)
Motasem Melhem (412123)
Amal Hasan (412124)
Fahad Al-Ghimlas (412125)
Said Dermime (79420)
Kazem Behbehani (412126)

May 2013

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters...

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevation of ≥ 0.5 mg/dL.

Hyo Jun Ahn (3692455)
Myeong Jun Song (3692452)
Jeong Won Jang (727280)
Si Hyun Bae (479006)
Jong Young Choi (479010)
Seung Kew Yoon (479011)

January 2017

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevat...

Results of multiple logistic regression analysis with hyperfiltration as the dependent variable adjusted with clinical and metabolic parameters*.

Sangmo Hong (2610259)
Yun Mi Choi (732104)
Sung-Hee Ihm (6058172)
Dooman Kim (6058175)
Moon-Gi Choi (763757)
Jae Myung Yu (4471231)
Eun-Gyoung Hong (363850)

December 2018

Results of multiple logistic regression analysis with hyperfiltration as the dependent variable adju...

Correlation between the urine albumin-to-creatinine ratio (ACR) and the total urine protein-to-creatinine ratio (TPCR).

Kyoko Yamamoto (533146)
Hiroyuki Yamamoto (31403)
Katsumi Yoshida (533147)
Koichiro Niwa (533148)
Yutaro Nishi (533149)
Atsushi Mizuno (533150)
Masanari Kuwabara (533151)
Taku Asano (533152)
Kunihiro Sakoda (533153)
Hiroyuki Niinuma (533154)
Fumiko Nakahara (533155)
Kyoko Takeda (533156)
Chiyohiko Shindoh (533157)
Yasuhiro Komatsu (533158)

March 2014

All of the axes are on a logarithmic scale. The regression expression was written as follows: ln ...

Multiple logistic regression analysis of risk factors for developing microalbuminuria and albuminuria.

Yi-Yen Lee (271429)
Chih-Kai Yang (727704)
Yi-Ming Weng (575110)
Chung-Hsun Chuang (3165081)
Wei Yu (43094)
Jih-Chang Chen (56326)
Wen-Cheng Li (267110)

June 2016

Multiple logistic regression analysis of risk factors for developing microalbuminuria and albumin...

Yun-Ting Huang (2167201)
Ming-Yan Jiang (707446)
Jyh-Chang Hwang (707445)

November 2022

Factors correlated to serum albumin to prealbumin ratio by simple and multiple linear regression ana...

Logistic Regression Analysis with hs-CRP as the Outcome Variable and Anthropometric and Metabolic Variables as Co-variates.

Priyanka Nigam (289239)
Surya P. Bhatt (289240)
Anoop Misra (289241)
Meera Vaidya (289243)
Jharna Dasgupta (289245)
Davinder Singh Chadha (289249)

February 2013

Logistic Regression Analysis with hs-CRP as the Outcome Variable and Anthropometric and Metabolic...

Multiple logistic regression analysis for metabolic syndrome and its components according to the value of UpH.

Seung Min Chung (5683787)
Jun Sung Moon (5683790)
Ji Sung Yoon (5683793)
Kyu Chang Won (5683796)
Hyoung Woo Lee (5683799)

August 2018

Multiple logistic regression analysis for metabolic syndrome and its components according to the val...

Spearman Correlation of Urine Albumin-Creatinine Ratio with Biological Variables.

Kenneth I. Ataga (335509)
Vimal K. Derebail (3138321)
Melissa Caughey (3138324)
Laila Elsherif (335061)
Jessica H. Shen (656221)
Susan K. Jones (689446)
Poulami Maitra (3138315)
David M. Pollock (3138312)
Jianwen Cai (3138309)
David R. Archer (3138318)
Alan L. Hinderliter (3138306)

September 2016

Spearman Correlation of Urine Albumin-Creatinine Ratio with Biological Variables.</p

Multiple logistic regression analyses for albuminuria or macroalbuminuria.

Jong Chul Won (502937)
Yun Jeong Lee (463980)
Jung Min Kim (502938)
Sang Youb Han (407598)
Jung Hyun Noh (150932)
Kyung Soo Ko (141360)
Byoung Doo Rhee (141366)
Dong-Jun Kim (463984)

December 2013

a Microalbuminuria or macroalbuminuria versus normoalbuminuria (reference).<sup...

Logistic Regression Analysis using serum protein concentration, before and after adjusting for covariates.

Jiangnan Wang (726050)
Rong Ma (500564)
Ashok Sharma (54361)
Mingfang He (482440)
Jing Xue (170229)
Jianzhong Wu (465178)
Boying Dun (485806)
Gang Li (34549)
Xiaoxiao Wang (337498)
Minghua Ji (726051)
Jin-Xiong She (54365)
Jinhai Tang (482442)

April 2015

Logistic Regression Analysis using serum protein concentration, before and after adjusting for co...

Logistic regression analyses of urinary cotinine levels of ≥ 50 and ≥ 30 ng/mL.

Jae Won Hong (644099)
Jung Hyun Noh (150932)
Dong-Jun Kim (463984)

June 2018

Logistic regression analyses of urinary cotinine levels of ≥ 50 and ≥ 30 ng/mL.</p

Linear regression analysis with components of metabolic syndrome as independent variables and log transformation of serum S14 level (logS14) as dependent variable, adjusted with age and sex.

Yen-Ting Chen (684705)
Ping-Huei Tseng (539039)
Fen-Yu Tseng (634327)
Yu-Chiao Chi (443794)
Der-Sheng Han (445808)
Wei-Shiung Yang (28865)

February 2019

Linear regression analysis with components of metabolic syndrome as independent variables and log tr...

Logistic regression analysis of BPV parameter as predictors for END according to renal function.

Jae-Chan Ryu (2850581)
Jae-Han Bae (13751530)
Sang Hee Ha (13751533)
Jun Young Chang (3716227)
Dong-Wha Kang (830972)
Sun U. Kwon (8829458)
Jong S. Kim (7647188)
Chung Hee Baek (11383766)
Bum Joon Kim (7514822)

September 2022

Logistic regression analysis of BPV parameter as predictors for END according to renal function.</p

Regression coefficients for the relationship between metabolic characteristics and log adiponectin.

Andrew Mente (347050)
David Meyre (58250)
Matthew B. Lanktree (113555)
Mahyar Heydarpour (426087)
A. Darlene Davis (426088)
Ruby Miller (426089)
Hertzel Gerstein (426090)
Robert A. Hegele (113679)
Salim Yusuf (84083)
Sonia S. Anand (113667)

June 2013

Regression coefficients for the relationship between metabolic characteristics and log adiponecti...

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters) associated with OPN or IL-18 level as a dependent variable.

Rasheed Ahmad (412118)
Anfal Al-Mass (412119)
Dalal Al-Ghawas (412120)
Nada Shareif (412121)
Nadia Zghoul (412122)
Motasem Melhem (412123)
Amal Hasan (412124)
Fahad Al-Ghimlas (412125)
Said Dermime (79420)
Kazem Behbehani (412126)

May 2013

Multiple stepwise linear regression analysis to identify clinical variables (metabolic parameters...

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevation of ≥ 0.5 mg/dL.

Hyo Jun Ahn (3692455)
Myeong Jun Song (3692452)
Jeong Won Jang (727280)
Si Hyun Bae (479006)
Jong Young Choi (479010)
Seung Kew Yoon (479011)

January 2017

Univariate and multivariate logistic regression analyses predicting factors for creatinine elevat...

Results of clinical and metabolic parameters<sup>*</sup> adjusted multiple logistic regression analysis with urine albumin creatinine ratio as the dependent variable.

Abstract

Extracted data

Results of clinical and metabolic parameters<sup>*</sup> adjusted multiple logistic regression analysis with urine albumin creatinine ratio as the dependent variable.

Abstract

Extracted data

Related items

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