Multiple linear regression analysis of Ruff Figural Fluency Test score on type 2 diabetes and age.

Regression coefficients β (SE) from multiple linear regression models for serum myostatin.

Der-Sheng Han (445808)
Yu Chu-Su (634326)
Chih-Kang Chiang (135324)
Fen-Yu Tseng (634327)
Ping-Huei Tseng (539039)
Chi-Ling Chen (379875)
Kwan-Dun Wu (141755)
Wei-Shiung Yang (28865)

September 2014

SE: standard error. R2adj: adjusted coefficient of determination. MetS: met...

Multiple linear regression analysis using urinary sialylated glycoprotein excretions as dependent variables in the patients with type 2 diabetes (n = 85).

Kentaro Inoue (160560)
Jun Wada (25812)
Jun Eguchi (25815)
Atsuko Nakatsuka (470924)
Sanae Teshigawara (470925)
Kazutoshi Murakami (470926)
Daisuke Ogawa (178677)
Takahiro Terami (470927)
Akihiro Katayama (470928)
Atsuhito Tone (470929)
Izumi Iseda (25814)
Kazuyuki Hida (470930)
Masao Yamada (68032)
Tomohisa Ogawa (470931)
Hirofumi Makino (25824)

October 2013

Estimated glomerular filtration rate (eGFR), albumin/creatinine ratio and HDL cholesterol (HDL-C)...

Cubic spline regression model between A) prevalence of diabetes and body much index (BMI), B) awareness of diabetes and BMI, C) treatment of diabetes and BMI, and D) control of diabetes and BMI.

Md. Shafiur Rahman (693547)
Shamima Akter (586551)
Sarah Krull Abe (693548)
Md. Rafiqul Islam (403453)
Md. Nazrul Islam Mondal (693549)
J. A. M. Shoquilur Rahman (693550)
Md. Mizanur Rahman (382106)

February 2015

Spline regression (three knots, reference value: BMI = 25 kg/m2). Continuous line, odd...

Logistic regression analysis of low Visual Association Test performance on type 2 diabetes and age.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Ron T. Gansevoort (111233)
Robin P. F. Dullaart (196402)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

December 2013

Abbreviations: OR, odds ratio; CI, confidence interval; Systolic BP, Systolic Blood Pressure....

RFFT score dependent on age and the presence of type 2 diabetes.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Ron T. Gansevoort (111233)
Robin P. F. Dullaart (196402)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

December 2013

For clarity, data are presented as mean and 95% confidence interval in ten year age groups (data ...

Linear multilevel regression analysis of performance on the Ruff Figural Fluency Test: perseverative errors.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Janneke Koerts (230357)
Ron T. Gansevoort (111233)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

March 2015

Abbreviations: B, unstandardized B-coefficient; CI, confidence interval; Ref, reference category....

Linear multilevel regression analysis of performance on the Ruff Figural Fluency Test: unique designs.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Janneke Koerts (230357)
Ron T. Gansevoort (111233)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

March 2015

Abbreviations: B, unstandardized B-coefficient; CI, confidence interval; Ref, reference category....

Tests of calibration, goodness-of-fit and discrimination for prediction models to identify subjects with type 2 diabetes.

Seán R. Millar (489484)
Ivan J. Perry (287374)
Jan Van den Broeck (75517)
Catherine M. Phillips (473528)

June 2015

1All models include age and gender.2P value = 0.127 compared to mode...

Linear regression analyses between rs4074134 and T2DM-related phenotypes.

Xueyao Han (319175)
Yingying Luo (319176)
Xiuying Zhang (56160)
Chao Lv (335727)
Xiuqin Sun (335728)
Xiaomei Zhang (147359)
Xianghai Zhou (335729)
Xiaoling Cai (319173)
Qian Ren (230930)
Linong Ji (131708)

February 2013

The associations between rs4074134 and quantitative T2DM-related traits were analyzed by multiple...

Models of regression analysis using dysglycaemia as the dependent variable.

Indu Waidyatilaka (398645)
Pulani Lanerolle (398647)
Rajitha Wickremasinghe (398648)
Sunethra Atukorala (398649)
Noel Somasundaram (398651)
Angela de Silva (398653)

March 2013

aGoodness of fit χ 2 = 0.044 (Hosmer and Lemeshow Test).bGoodness of fit χ <sup...

Stuctural equation model of diabetes self-management as measured by the SDSCA and glycaemic control for patients with type 1 and type 2 diabetes.

Andreas Schmitt (359633)
André Reimer (2552212)
Norbert Hermanns (847488)
Jörg Huber (2552218)
Dominic Ehrmann (847485)
Sabine Schall (2552215)
Bernhard Kulzer (847487)

March 2016

Data are standardised regression weights (β) for paths or squared multiple correlations (<...

Linear Regression model between serum triglycerides and excitability parameters typically abnormal in type 2 diabetic patients.

Natalie C. G. Kwai (3174579)
William Nigole (3174582)
Ann M. Poynten (3174576)
Christopher Brown (258061)
Arun V. Krishnan (353548)

April 2016

Linear Regression model between serum triglycerides and excitability parameters typically abnorma...

Associations of type 2 diabetes mellitus (T2D), waist-hip ratio (WHR), body mass index (BMI), mean steps/day and cortical volumes (n = 560).

Rachel E. D. Climie (824864)
Chris Moran (824865)
Michele Callisaya (816177)
Leigh Blizzard (824866)
James E. Sharman (680215)
Alison Venn (624750)
Thanh G. Phan (507329)
Richard Beare (507328)
Josephine Forbes (285322)
Nicholas B. Blackburn (824867)
Velandai Srikanth (514806)

November 2015

β is unstandardized coefficient. CI–confidence interval. All regressions adjusted for age, sex an...

Logistic regression models for NAFLD as a predictor for development of AF in patients with type 2 diabetes.

Giovanni Targher (381168)
Filippo Valbusa (381169)
Stefano Bonapace (381170)
Lorenzo Bertolini (381171)
Luciano Zenari (381172)
Stefano Rodella (381173)
Giacomo Zoppini (381174)
William Mantovani (381175)
Enrico Barbieri (381176)
Christopher D. Byrne (114429)

February 2013

Sample size, n = 400. Data are expressed as odds ratios ±95% confidence intervals as asses...

Determinants of diabetes knowledge (raw scores) in multivariable linear regression models.

Eva K. Fenwick (492106)
Jing Xie (180526)
Gwyn Rees (492107)
Robert P. Finger (138609)
Ecosse L. Lamoureux (172158)

December 2013

CI = Confidence interval; Bolded values indicate significant results NDSS = National Diabetes Ser...

Regression coefficients β (SE) from multiple linear regression models for serum myostatin.

Der-Sheng Han (445808)
Yu Chu-Su (634326)
Chih-Kang Chiang (135324)
Fen-Yu Tseng (634327)
Ping-Huei Tseng (539039)
Chi-Ling Chen (379875)
Kwan-Dun Wu (141755)
Wei-Shiung Yang (28865)

September 2014

SE: standard error. R2adj: adjusted coefficient of determination. MetS: met...

Multiple linear regression analysis using urinary sialylated glycoprotein excretions as dependent variables in the patients with type 2 diabetes (n = 85).

Kentaro Inoue (160560)
Jun Wada (25812)
Jun Eguchi (25815)
Atsuko Nakatsuka (470924)
Sanae Teshigawara (470925)
Kazutoshi Murakami (470926)
Daisuke Ogawa (178677)
Takahiro Terami (470927)
Akihiro Katayama (470928)
Atsuhito Tone (470929)
Izumi Iseda (25814)
Kazuyuki Hida (470930)
Masao Yamada (68032)
Tomohisa Ogawa (470931)
Hirofumi Makino (25824)

October 2013

Estimated glomerular filtration rate (eGFR), albumin/creatinine ratio and HDL cholesterol (HDL-C)...

Cubic spline regression model between A) prevalence of diabetes and body much index (BMI), B) awareness of diabetes and BMI, C) treatment of diabetes and BMI, and D) control of diabetes and BMI.

Md. Shafiur Rahman (693547)
Shamima Akter (586551)
Sarah Krull Abe (693548)
Md. Rafiqul Islam (403453)
Md. Nazrul Islam Mondal (693549)
J. A. M. Shoquilur Rahman (693550)
Md. Mizanur Rahman (382106)

February 2015

Spline regression (three knots, reference value: BMI = 25 kg/m2). Continuous line, odd...

Logistic regression analysis of low Visual Association Test performance on type 2 diabetes and age.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Ron T. Gansevoort (111233)
Robin P. F. Dullaart (196402)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

December 2013

Abbreviations: OR, odds ratio; CI, confidence interval; Systolic BP, Systolic Blood Pressure....

RFFT score dependent on age and the presence of type 2 diabetes.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Ron T. Gansevoort (111233)
Robin P. F. Dullaart (196402)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

December 2013

For clarity, data are presented as mean and 95% confidence interval in ten year age groups (data ...

Linear multilevel regression analysis of performance on the Ruff Figural Fluency Test: perseverative errors.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Janneke Koerts (230357)
Ron T. Gansevoort (111233)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

March 2015

Abbreviations: B, unstandardized B-coefficient; CI, confidence interval; Ref, reference category....

Linear multilevel regression analysis of performance on the Ruff Figural Fluency Test: unique designs.

Marlise E. A. van Eersel (499054)
Hanneke Joosten (230354)
Janneke Koerts (230357)
Ron T. Gansevoort (111233)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

March 2015

Abbreviations: B, unstandardized B-coefficient; CI, confidence interval; Ref, reference category....

Tests of calibration, goodness-of-fit and discrimination for prediction models to identify subjects with type 2 diabetes.

Seán R. Millar (489484)
Ivan J. Perry (287374)
Jan Van den Broeck (75517)
Catherine M. Phillips (473528)

June 2015

1All models include age and gender.2P value = 0.127 compared to mode...

Linear regression analyses between rs4074134 and T2DM-related phenotypes.

Xueyao Han (319175)
Yingying Luo (319176)
Xiuying Zhang (56160)
Chao Lv (335727)
Xiuqin Sun (335728)
Xiaomei Zhang (147359)
Xianghai Zhou (335729)
Xiaoling Cai (319173)
Qian Ren (230930)
Linong Ji (131708)

February 2013

The associations between rs4074134 and quantitative T2DM-related traits were analyzed by multiple...

Models of regression analysis using dysglycaemia as the dependent variable.

Indu Waidyatilaka (398645)
Pulani Lanerolle (398647)
Rajitha Wickremasinghe (398648)
Sunethra Atukorala (398649)
Noel Somasundaram (398651)
Angela de Silva (398653)

March 2013

aGoodness of fit χ 2 = 0.044 (Hosmer and Lemeshow Test).bGoodness of fit χ <sup...

Stuctural equation model of diabetes self-management as measured by the SDSCA and glycaemic control for patients with type 1 and type 2 diabetes.

Andreas Schmitt (359633)
André Reimer (2552212)
Norbert Hermanns (847488)
Jörg Huber (2552218)
Dominic Ehrmann (847485)
Sabine Schall (2552215)
Bernhard Kulzer (847487)

March 2016

Data are standardised regression weights (β) for paths or squared multiple correlations (<...

Linear Regression model between serum triglycerides and excitability parameters typically abnormal in type 2 diabetic patients.

Natalie C. G. Kwai (3174579)
William Nigole (3174582)
Ann M. Poynten (3174576)
Christopher Brown (258061)
Arun V. Krishnan (353548)

April 2016

Linear Regression model between serum triglycerides and excitability parameters typically abnorma...

Associations of type 2 diabetes mellitus (T2D), waist-hip ratio (WHR), body mass index (BMI), mean steps/day and cortical volumes (n = 560).

Rachel E. D. Climie (824864)
Chris Moran (824865)
Michele Callisaya (816177)
Leigh Blizzard (824866)
James E. Sharman (680215)
Alison Venn (624750)
Thanh G. Phan (507329)
Richard Beare (507328)
Josephine Forbes (285322)
Nicholas B. Blackburn (824867)
Velandai Srikanth (514806)

November 2015

β is unstandardized coefficient. CI–confidence interval. All regressions adjusted for age, sex an...

Logistic regression models for NAFLD as a predictor for development of AF in patients with type 2 diabetes.

Giovanni Targher (381168)
Filippo Valbusa (381169)
Stefano Bonapace (381170)
Lorenzo Bertolini (381171)
Luciano Zenari (381172)
Stefano Rodella (381173)
Giacomo Zoppini (381174)
William Mantovani (381175)
Enrico Barbieri (381176)
Christopher D. Byrne (114429)

February 2013

Sample size, n = 400. Data are expressed as odds ratios ±95% confidence intervals as asses...

Determinants of diabetes knowledge (raw scores) in multivariable linear regression models.

Eva K. Fenwick (492106)
Jing Xie (180526)
Gwyn Rees (492107)
Robert P. Finger (138609)
Ecosse L. Lamoureux (172158)

December 2013

CI = Confidence interval; Bolded values indicate significant results NDSS = National Diabetes Ser...

Regression coefficients β (SE) from multiple linear regression models for serum myostatin.

Der-Sheng Han (445808)
Yu Chu-Su (634326)
Chih-Kang Chiang (135324)
Fen-Yu Tseng (634327)
Ping-Huei Tseng (539039)
Chi-Ling Chen (379875)
Kwan-Dun Wu (141755)
Wei-Shiung Yang (28865)

September 2014

SE: standard error. R2adj: adjusted coefficient of determination. MetS: met...

Multiple linear regression analysis using urinary sialylated glycoprotein excretions as dependent variables in the patients with type 2 diabetes (n = 85).

Kentaro Inoue (160560)
Jun Wada (25812)
Jun Eguchi (25815)
Atsuko Nakatsuka (470924)
Sanae Teshigawara (470925)
Kazutoshi Murakami (470926)
Daisuke Ogawa (178677)
Takahiro Terami (470927)
Akihiro Katayama (470928)
Atsuhito Tone (470929)
Izumi Iseda (25814)
Kazuyuki Hida (470930)
Masao Yamada (68032)
Tomohisa Ogawa (470931)
Hirofumi Makino (25824)

October 2013

Estimated glomerular filtration rate (eGFR), albumin/creatinine ratio and HDL cholesterol (HDL-C)...

Cubic spline regression model between A) prevalence of diabetes and body much index (BMI), B) awareness of diabetes and BMI, C) treatment of diabetes and BMI, and D) control of diabetes and BMI.

Md. Shafiur Rahman (693547)
Shamima Akter (586551)
Sarah Krull Abe (693548)
Md. Rafiqul Islam (403453)
Md. Nazrul Islam Mondal (693549)
J. A. M. Shoquilur Rahman (693550)
Md. Mizanur Rahman (382106)

February 2015

Spline regression (three knots, reference value: BMI = 25 kg/m2). Continuous line, odd...

Multiple linear regression analysis of Ruff Figural Fluency Test score on type 2 diabetes and age.

Abstract

Extracted data

Multiple linear regression analysis of Ruff Figural Fluency Test score on type 2 diabetes and age.

Abstract

Extracted data

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