Lan T H Le, Loan T Dang, Tsae-Jyy Wang, Tuyen G Do, Dung H Nguyen, Trung A Hoang, Minh D Pham, Binh N Do, Hoang C Nguyen, Tu T Tran, Linh V Pham, Lien T H Nguyen, Hoi T Nguyen, Nga T Trieu, Thinh V Do, Manh V Trinh, Tung H Ha, Dung T Phan, Shwu-Huey Yang, Ngoc N M Le, Kien T Nguyen, Tuyen Van Duong
Osteoporosis Risk in Hemodialysis Patients: The Roles of Gender, Comorbidities, Biochemical Parameters, Health and Diet Literacy
Nutrients
argument preceding multiple analysis variance anovas multivariate analysis variance manova control type error challenged several situations discussed multiple anovas might conducted without necessity preliminary manova three reasons considering multivariate analysis discussed identify outcome variable system constructs select variable subsets determine variable relative worth analyses discussed article appropriate research situations analysis variance techniques useful analyses used study effects treatment variables outcomeresponse variables ex post facto well experimental studies speak univariate analysis variance anova single outcome variable involved multiple outcome variables involved multivariate analysis variance manova covariance analyses may also included multiple outcome variables typical analysis approach used groupcomparison context least behavioral sciences either conduct multiple anovas b conduct manova followed multiple anovas two popular choices may concluded survey prominent behavioral science journals 1986 issues