A stratification approach using logit-based models for confounder adjustment in the study of continuous outcomes.

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作者： Chuen Seng,Tan ^[1] ; Nathalie C,Støer ^[2] ; Ying,Chen ^[3] ; Marielle,Andersson ^[1] ; Yilin,Ning ^[2] ; Hwee-Lin,Wee ^[4] ; Eric Yin Hao,Khoo ^[5] ; E-Shyong,Tai ^[1] ; Shih Ling,Kao ^[6] ; Marie,Reilly ^[7]

作者单位： 1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore. ^[1] 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. ^[2] 3 Norwegian National Advisory Unit on Women's Health, Oslo University Hospital, Oslo, Norway. ^[3] 4 NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore. ^[4] 5 Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. ^[5] 6 Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore. ^[6] 7 Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. ^[7] 8 Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore, Singapore. ^[8]

关键词 Epidemiological designs breast cancer diabetes mellitus extreme value type 1 distribution glucometrics linear model mammographic density normal errors rank-ordered logit