Regression coefficients of the influence of explanatory variables age, gender, and language area on the seven factors of the CEBQ.

The results of standardized regression coefficient analysis to identify the clinical factors influencing ΔK in each path model.

Satoshi Ito (12555)
Tomohisa Nagoshi (585330)
Kosuke Minai (652411)
Yusuke Kashiwagi (762406)
Hiroshi Sekiyama (652418)
Akira Yoshii (4860)
Haruka Kimura (3944843)
Yasunori Inoue (54089)
Kazuo Ogawa (652416)
Toshikazu D. Tanaka (762407)
Takayuki Ogawa (652412)
Makoto Kawai (652413)
Michihiro Yoshimura (585335)

April 2017

The results of standardized regression coefficient analysis to identify the clinical factors infl...

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as reference levels in the model).

Zita Laffranchi (6597749)
Giuliana Cavalieri Manasse (6597752)
Luciano Salzani (6191111)
Marco Milella (633432)

April 2019

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as re...

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.

Natasha Wood (264200)
Anne McMunn (531193)
Elizabeth Webb (27996)
Mai Stafford (543344)

January 2019

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.</p

Regression coefficients of the regression model describing effect of age, BMI and parity on three parts of KHQ as well as the corresponding Pearson correlation coefficient.

Rosa Maria Laterza (5638172)
Ksenia Halpern (5638175)
Daniela Ulrich (118627)
Alexandra Graf (492269)
Karl Tamussino (3863668)
Wolfgang Umek (5638178)

August 2018

Regression coefficients of the regression model describing effect of age, BMI and parity on three pa...

Hierarchical regression analysis of the relation of basic, underlying, and proximal factors with length-for-age.

Shimels Hussien Mohammed (6264161)
Tesfa Dejenie Habtewold (5738021)
Balewgizie Sileshi Tegegne (3704890)
Mulugeta Molla Birhanu (6264164)
Tesfamichael Awoke Sissay (6264167)
Bagher Larijani (96114)
Ahmad Esmaillzadeh (846099)

January 2019

Hierarchical regression analysis of the relation of basic, underlying, and proximal factors with len...

Regression analysis of literacy and sources of information variables (Model 2).

Dominique Guillaume (1695670)
Rhoda Moise (16783482)
Joyline Chepkorir (16798946)
Kamila Alexander (16798949)
Maria Luisa Alcaide (13410451)
Rasheeta Chandler (16798952)
Claire Rolland (16798955)
Natalie Pierre-Joseph (16798958)

August 2023

Regression analysis of literacy and sources of information variables (Model 2).</p

Regression analyses including adjustment for modified Charlson index, as well as age, sex and Index of Multiple Deprivation (IMD).

Naaheed Mukadam (2590882)
Louise Marston (210170)
Gemma Lewis (71087)
Rohini Mathur (3122613)
Ed Lowther (17131410)
Greta Rait (124621)
Gill Livingston (167081)

October 2023

Regression analyses including adjustment for modified Charlson index, as well as age, sex and Index ...

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.

Paul Bangirana (285447)
Jeremiah Menk (285448)
Chandy C. John (285449)
Michael J. Boivin (285450)
James S. Hodges (285451)

February 2013

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.</p

Regression coefficients (95%CI) for models predicting the dependent variable, %BF, by sequentially including gender (model 1), BMI (model 2), age (model 3), lean mass (model 4) and BMC (model 5) as independent variables.

Julie A. Pasco (223870)
Geoffrey C. Nicholson (153208)
Sharon L. Brennan (335408)
Mark A. Kotowicz (223859)

February 2013

CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...

Regression analyses for moderation of age in the relationships between work characteristics and psychological work ability.

Carlos-María Alcover (5150630)
Gabriela Topa (5150633)

April 2018

Regression analyses for moderation of age in the relationships between work characteristics and p...

Factors associated with Stunting in using bivariate and multivariate regression model.

Chet Kant Bhusal (14439329)
Sigma Bhattarai (14439332)
Pradip Chhetri (14439335)
Salau Din Myia (14439338)

January 2023

Factors associated with Stunting in using bivariate and multivariate regression model.</p

Age-specific impacts of height (H) on PEF and FEF50 estimated for three different age groups of both men and women.

Hisamitsu Omori (582233)
Ayumi Onoue (582234)
Takahiko Katoh (582235)
Yasuhiro Ogata (582236)
Hidetoshi Kawashima (153503)
Naoki Miyao (582237)
Takao Tsuji (322441)
Kazutetsu Aoshiba (542741)
Atsushi Nagai (36896)
Kazuhiro Yamaguchi (542737)

June 2014

(A): Partial regression coefficients of Ln(H) for reference means of Ln(PEF) in young-, middle-, ...

Regression coefficients of parameters associated with the total cost of CE in Iran.

Majid Fasihi Harandi (116242)
Christine M. Budke (116245)
Sima Rostami (116248)

November 2012

Regression coefficients of parameters associated with the total cost of CE in Iran.</p

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...

Regression coefficients from the linear regression analysis for the response variable, IgG values, and the covariates age and sex (female = 0, male = 1) after adjustment for the family status.

L. Renee Ruhaak (278297)
Hae-Won Uh (28932)
Marian Beekman (67140)
Carolien A. M. Koeleman (361901)
Cornelis H. Hokke (115502)
Rudi G. J. Westendorp (188393)
Manfred Wuhrer (200842)
Jeanine J. Houwing-Duistermaat (188389)
P. Eline Slagboom (28184)
André M. Deelder (200839)

February 2013

Only significant results (P<0.05) are depicted. Positive regression coefficients for age i...

The results of standardized regression coefficient analysis to identify the clinical factors influencing ΔK in each path model.

Satoshi Ito (12555)
Tomohisa Nagoshi (585330)
Kosuke Minai (652411)
Yusuke Kashiwagi (762406)
Hiroshi Sekiyama (652418)
Akira Yoshii (4860)
Haruka Kimura (3944843)
Yasunori Inoue (54089)
Kazuo Ogawa (652416)
Toshikazu D. Tanaka (762407)
Takayuki Ogawa (652412)
Makoto Kawai (652413)
Michihiro Yoshimura (585335)

April 2017

The results of standardized regression coefficient analysis to identify the clinical factors infl...

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as reference levels in the model).

Zita Laffranchi (6597749)
Giuliana Cavalieri Manasse (6597752)
Luciano Salzani (6191111)
Marco Milella (633432)

April 2019

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as re...

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.

Natasha Wood (264200)
Anne McMunn (531193)
Elizabeth Webb (27996)
Mai Stafford (543344)

January 2019

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.</p

Regression coefficients of the regression model describing effect of age, BMI and parity on three parts of KHQ as well as the corresponding Pearson correlation coefficient.

Rosa Maria Laterza (5638172)
Ksenia Halpern (5638175)
Daniela Ulrich (118627)
Alexandra Graf (492269)
Karl Tamussino (3863668)
Wolfgang Umek (5638178)

August 2018

Regression coefficients of the regression model describing effect of age, BMI and parity on three pa...

Hierarchical regression analysis of the relation of basic, underlying, and proximal factors with length-for-age.

Shimels Hussien Mohammed (6264161)
Tesfa Dejenie Habtewold (5738021)
Balewgizie Sileshi Tegegne (3704890)
Mulugeta Molla Birhanu (6264164)
Tesfamichael Awoke Sissay (6264167)
Bagher Larijani (96114)
Ahmad Esmaillzadeh (846099)

January 2019

Hierarchical regression analysis of the relation of basic, underlying, and proximal factors with len...

Regression analysis of literacy and sources of information variables (Model 2).

Dominique Guillaume (1695670)
Rhoda Moise (16783482)
Joyline Chepkorir (16798946)
Kamila Alexander (16798949)
Maria Luisa Alcaide (13410451)
Rasheeta Chandler (16798952)
Claire Rolland (16798955)
Natalie Pierre-Joseph (16798958)

August 2023

Regression analysis of literacy and sources of information variables (Model 2).</p

Regression analyses including adjustment for modified Charlson index, as well as age, sex and Index of Multiple Deprivation (IMD).

Naaheed Mukadam (2590882)
Louise Marston (210170)
Gemma Lewis (71087)
Rohini Mathur (3122613)
Ed Lowther (17131410)
Greta Rait (124621)
Gill Livingston (167081)

October 2023

Regression analyses including adjustment for modified Charlson index, as well as age, sex and Index ...

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.

Paul Bangirana (285447)
Jeremiah Menk (285448)
Chandy C. John (285449)
Michael J. Boivin (285450)
James S. Hodges (285451)

February 2013

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.</p

Regression coefficients (95%CI) for models predicting the dependent variable, %BF, by sequentially including gender (model 1), BMI (model 2), age (model 3), lean mass (model 4) and BMC (model 5) as independent variables.

Julie A. Pasco (223870)
Geoffrey C. Nicholson (153208)
Sharon L. Brennan (335408)
Mark A. Kotowicz (223859)

February 2013

CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...

Regression analyses for moderation of age in the relationships between work characteristics and psychological work ability.

Carlos-María Alcover (5150630)
Gabriela Topa (5150633)

April 2018

Regression analyses for moderation of age in the relationships between work characteristics and p...

Factors associated with Stunting in using bivariate and multivariate regression model.

Chet Kant Bhusal (14439329)
Sigma Bhattarai (14439332)
Pradip Chhetri (14439335)
Salau Din Myia (14439338)

January 2023

Factors associated with Stunting in using bivariate and multivariate regression model.</p

Age-specific impacts of height (H) on PEF and FEF50 estimated for three different age groups of both men and women.

Hisamitsu Omori (582233)
Ayumi Onoue (582234)
Takahiko Katoh (582235)
Yasuhiro Ogata (582236)
Hidetoshi Kawashima (153503)
Naoki Miyao (582237)
Takao Tsuji (322441)
Kazutetsu Aoshiba (542741)
Atsushi Nagai (36896)
Kazuhiro Yamaguchi (542737)

June 2014

(A): Partial regression coefficients of Ln(H) for reference means of Ln(PEF) in young-, middle-, ...

Regression coefficients of parameters associated with the total cost of CE in Iran.

Majid Fasihi Harandi (116242)
Christine M. Budke (116245)
Sima Rostami (116248)

November 2012

Regression coefficients of parameters associated with the total cost of CE in Iran.</p

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...

Regression coefficients from the linear regression analysis for the response variable, IgG values, and the covariates age and sex (female = 0, male = 1) after adjustment for the family status.

L. Renee Ruhaak (278297)
Hae-Won Uh (28932)
Marian Beekman (67140)
Carolien A. M. Koeleman (361901)
Cornelis H. Hokke (115502)
Rudi G. J. Westendorp (188393)
Manfred Wuhrer (200842)
Jeanine J. Houwing-Duistermaat (188389)
P. Eline Slagboom (28184)
André M. Deelder (200839)

February 2013

Only significant results (P<0.05) are depicted. Positive regression coefficients for age i...

The results of standardized regression coefficient analysis to identify the clinical factors influencing ΔK in each path model.

Satoshi Ito (12555)
Tomohisa Nagoshi (585330)
Kosuke Minai (652411)
Yusuke Kashiwagi (762406)
Hiroshi Sekiyama (652418)
Akira Yoshii (4860)
Haruka Kimura (3944843)
Yasunori Inoue (54089)
Kazuo Ogawa (652416)
Toshikazu D. Tanaka (762407)
Takayuki Ogawa (652412)
Makoto Kawai (652413)
Michihiro Yoshimura (585335)

April 2017

The results of standardized regression coefficient analysis to identify the clinical factors infl...

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as reference levels in the model).

Zita Laffranchi (6597749)
Giuliana Cavalieri Manasse (6597752)
Luciano Salzani (6191111)
Marco Milella (633432)

April 2019

Adult sample: Coefficients of the logistic regression of LEH vs. Sex and Age (F and YA are set as re...

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.

Natasha Wood (264200)
Anne McMunn (531193)
Elizabeth Webb (27996)
Mai Stafford (543344)

January 2019

Regression coefficients for grip strength (in kg / height in m) for women in ELSA and HRS.</p

Regression coefficients of the influence of explanatory variables age, gender, and language area on the seven factors of the CEBQ.

Abstract

Extracted data

Regression coefficients of the influence of explanatory variables age, gender, and language area on the seven factors of the CEBQ.

Abstract

Extracted data

Related items

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