Binary logistic regression analysis to find factors of good knowledge (N = 535).

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression analysis for factors predicting medication adherence.

Sarah M. Khayyat (3704497)
Salwa M. Saeed Khayyat (3704500)
Raghda S. Hyat Alhazmi (3704494)
Mahmoud M. A. Mohamed (3704503)
Muhammad Abdul Hadi (3704491)

January 2017

Binary logistic regression analysis for factors predicting medication adherence.</p

Binary Logistic Regression analysis of elderly disability (N = 14,091).

Wei Chen (23863)
Ya Fang (759951)
Fanzhen Mao (763169)
Shichao Hao (763170)
Junze Chen (763171)
Manqiong Yuan (188808)
Yaofeng Han (763172)
Y. Alicia Hong (763173)

June 2015

Binary Logistic Regression analysis of elderly disability (N = 14,091).</p

Binary logistic regression analysis to find factors of good practices (N = 535).

Hashaam Jamil (14237684)
Muhammad Fazal Ud Din (14237687)
Muhammad Junaid Tahir (11654666)
Muhammad Saqlain (4996685)
Zair Hassan (14237690)
Muhammad Arslan Khan (14237693)
Mustafa Sajjad Cheema (14237696)
Irfan Ullah (847820)
Md. Saiful Islam (7347884)
Ali Ahmed (2567584)

December 2022

Binary logistic regression analysis to find factors of good practices (N = 535).</p

Binary logistic regression analysis to find factors of positive attitudes (N = 535).

Hashaam Jamil (14237684)
Muhammad Fazal Ud Din (14237687)
Muhammad Junaid Tahir (11654666)
Muhammad Saqlain (4996685)
Zair Hassan (14237690)
Muhammad Arslan Khan (14237693)
Mustafa Sajjad Cheema (14237696)
Irfan Ullah (847820)
Md. Saiful Islam (7347884)
Ali Ahmed (2567584)

December 2022

Binary logistic regression analysis to find factors of positive attitudes (N = 535).</p

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.

Devipriya J. S. (11286517)
Ashok Kumar Gupta (7259135)
Rajendra Babu Veeri (11286520)
Pavan Garapati (5728565)
Rishikesh Kumar (2142277)
Sameer Dhingra (785935)
Krishna Murti (5728568)
V. Ravichandiran (3864802)
Krishna Pandey (567511)

August 2021

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p

Logistic regression for factors associated with good understanding of A1c (N = 5957).

Shengnan Yang (2558734)
Weimin Kong (2558737)
Cunyi Hsue (2558743)
Anne F. Fish (2558740)
Yufeng Chen (560054)
Xiaohui Guo (131711)
Qingqing Lou (560053)
Robert Anderson (174288)

March 2016

Logistic regression for factors associated with good understanding of A1c (N = 5957).</p

Binary logistic regression analysis of factors associated with four chronic diseases.

Chanjuan Zhao (5394836)
Liping Wong (5394839)
Qing Zhu (349093)
Hao Yang (328526)

June 2018

Binary logistic regression analysis of factors associated with four chronic diseases.</p

Multivariable binary logistic regression analysis of factors associated with seeking any form of help among students with current CMDs.

Yohannes Gebreegziabher (6392342)
Eshetu Girma (326093)
Markos Tesfaye (360997)

February 2019

Multivariable binary logistic regression analysis of factors associated with seeking any form of hel...

Results of binary logistic regression with high-school type, intelligence, personality and general knowledge as predictors, and academic performance as criterion.

Benjamin Banai (3190140)
Višnja Perin (3190137)

October 2016

Results of binary logistic regression with high-school type, intelligence, personality and genera...

Predictors of participants’ good knowledge about DM using binary logistic regression8.

Mervat Alsous (3744154)
Mariam Abdel Jalil (3744151)
Mohanad Odeh (6528488)
Rasha Al Kurdi (6528491)
Murhaf Alnan (6528494)

March 2019

Predictors of participants’ good knowledge about DM using binary logistic regression8.</p

Multivariate logistic regression analysis showing predictors of knowledge and attitude levels (good vs. not good).

Deekshanta Sitaula (13550239)
Niki Shrestha (13550242)
Santosh Timalsina (13550245)
Bandana Pokharel (13550248)
Sachin Sapkota (13550251)
Suchita Acharya (13550254)
Rohit Thapa (13550257)
Aarati Dhakal (13550260)
Sarita Dhakal (11127548)

August 2022

Multivariate logistic regression analysis showing predictors of knowledge and attitude levels (good ...

Binary logistic regression analysis of independent risk factors for SHLNM.

Chang-Ming Huang (415113)
Jun-Rong Zhang (635679)
Chao-Hui Zheng (415116)
Ping Li (31981)
Jian-Wei Xie (415117)
Jia-Bin Wang (415118)
Jian-Xian Lin (415115)
Jun Lu (36049)
Qi-Yue Chen (415114)

September 2014

Binary logistic regression analysis of independent risk factors for SHLNM.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression analysis for factors predicting medication adherence.

Sarah M. Khayyat (3704497)
Salwa M. Saeed Khayyat (3704500)
Raghda S. Hyat Alhazmi (3704494)
Mahmoud M. A. Mohamed (3704503)
Muhammad Abdul Hadi (3704491)

January 2017

Binary logistic regression analysis for factors predicting medication adherence.</p

Binary Logistic Regression analysis of elderly disability (N = 14,091).

Wei Chen (23863)
Ya Fang (759951)
Fanzhen Mao (763169)
Shichao Hao (763170)
Junze Chen (763171)
Manqiong Yuan (188808)
Yaofeng Han (763172)
Y. Alicia Hong (763173)

June 2015

Binary Logistic Regression analysis of elderly disability (N = 14,091).</p

Binary logistic regression analysis to find factors of good practices (N = 535).

Hashaam Jamil (14237684)
Muhammad Fazal Ud Din (14237687)
Muhammad Junaid Tahir (11654666)
Muhammad Saqlain (4996685)
Zair Hassan (14237690)
Muhammad Arslan Khan (14237693)
Mustafa Sajjad Cheema (14237696)
Irfan Ullah (847820)
Md. Saiful Islam (7347884)
Ali Ahmed (2567584)

December 2022

Binary logistic regression analysis to find factors of good practices (N = 535).</p

Binary logistic regression analysis to find factors of positive attitudes (N = 535).

Hashaam Jamil (14237684)
Muhammad Fazal Ud Din (14237687)
Muhammad Junaid Tahir (11654666)
Muhammad Saqlain (4996685)
Zair Hassan (14237690)
Muhammad Arslan Khan (14237693)
Mustafa Sajjad Cheema (14237696)
Irfan Ullah (847820)
Md. Saiful Islam (7347884)
Ali Ahmed (2567584)

December 2022

Binary logistic regression analysis to find factors of positive attitudes (N = 535).</p

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.

Devipriya J. S. (11286517)
Ashok Kumar Gupta (7259135)
Rajendra Babu Veeri (11286520)
Pavan Garapati (5728565)
Rishikesh Kumar (2142277)
Sameer Dhingra (785935)
Krishna Murti (5728568)
V. Ravichandiran (3864802)
Krishna Pandey (567511)

August 2021

Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p

Logistic regression for factors associated with good understanding of A1c (N = 5957).

Shengnan Yang (2558734)
Weimin Kong (2558737)
Cunyi Hsue (2558743)
Anne F. Fish (2558740)
Yufeng Chen (560054)
Xiaohui Guo (131711)
Qingqing Lou (560053)
Robert Anderson (174288)

March 2016

Logistic regression for factors associated with good understanding of A1c (N = 5957).</p

Binary logistic regression analysis of factors associated with four chronic diseases.

Chanjuan Zhao (5394836)
Liping Wong (5394839)
Qing Zhu (349093)
Hao Yang (328526)

June 2018

Binary logistic regression analysis of factors associated with four chronic diseases.</p

Multivariable binary logistic regression analysis of factors associated with seeking any form of help among students with current CMDs.

Yohannes Gebreegziabher (6392342)
Eshetu Girma (326093)
Markos Tesfaye (360997)

February 2019

Multivariable binary logistic regression analysis of factors associated with seeking any form of hel...

Results of binary logistic regression with high-school type, intelligence, personality and general knowledge as predictors, and academic performance as criterion.

Benjamin Banai (3190140)
Višnja Perin (3190137)

October 2016

Results of binary logistic regression with high-school type, intelligence, personality and genera...

Predictors of participants’ good knowledge about DM using binary logistic regression8.

Mervat Alsous (3744154)
Mariam Abdel Jalil (3744151)
Mohanad Odeh (6528488)
Rasha Al Kurdi (6528491)
Murhaf Alnan (6528494)

March 2019

Predictors of participants’ good knowledge about DM using binary logistic regression8.</p

Multivariate logistic regression analysis showing predictors of knowledge and attitude levels (good vs. not good).

Deekshanta Sitaula (13550239)
Niki Shrestha (13550242)
Santosh Timalsina (13550245)
Bandana Pokharel (13550248)
Sachin Sapkota (13550251)
Suchita Acharya (13550254)
Rohit Thapa (13550257)
Aarati Dhakal (13550260)
Sarita Dhakal (11127548)

August 2022

Multivariate logistic regression analysis showing predictors of knowledge and attitude levels (good ...

Binary logistic regression analysis of independent risk factors for SHLNM.

Chang-Ming Huang (415113)
Jun-Rong Zhang (635679)
Chao-Hui Zheng (415116)
Ping Li (31981)
Jian-Wei Xie (415117)
Jia-Bin Wang (415118)
Jian-Xian Lin (415115)
Jun Lu (36049)
Qi-Yue Chen (415114)

September 2014

Binary logistic regression analysis of independent risk factors for SHLNM.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.

Huan-Fang Lee (17125029)
Hsiang-Chin Hsu (811186)
Ferry Efendi (9750683)
Vimala Ramoo (10451109)
Ika Adelia Susanti (17125032)

October 2023

Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p

Binary logistic regression analysis for factors predicting medication adherence.

Sarah M. Khayyat (3704497)
Salwa M. Saeed Khayyat (3704500)
Raghda S. Hyat Alhazmi (3704494)
Mahmoud M. A. Mohamed (3704503)
Muhammad Abdul Hadi (3704491)

January 2017

Binary logistic regression analysis for factors predicting medication adherence.</p

Binary Logistic Regression analysis of elderly disability (N = 14,091).

Wei Chen (23863)
Ya Fang (759951)
Fanzhen Mao (763169)
Shichao Hao (763170)
Junze Chen (763171)
Manqiong Yuan (188808)
Yaofeng Han (763172)
Y. Alicia Hong (763173)

June 2015

Binary Logistic Regression analysis of elderly disability (N = 14,091).</p

Binary logistic regression analysis to find factors of good knowledge (<i>N</i> = 535).

Abstract

Extracted data

Binary logistic regression analysis to find factors of good knowledge (<i>N</i> = 535).

Abstract

Extracted data

Related items

Related items