In cohort studies with time-to-event outcomes, covariates of interest often have values that change over time. The classical Cox regression model can handle time-dependent covariates but assumes linear effects on the log hazard function, which can be limiting in practice. Furthermore, when multiple correlated covariates are studied, it is of great interest to model their joint effects by allowing a flexible functional form and to delineate their relative contributions to survival risk.

Myeonggyun Lee

Andrea B. Troxel

Sophia Kwon

George Crowley

Theresa Schwartz

Rachel Zeig-Owens

David J. Prezant

Anna Nolan

Mengling Liu

BMC Medical Research Methodology

BMC MEDICAL RESEARCH METHODOLOGY 是一本开放获取期刊，发表有关医疗保健研究方法论的原创同行评审研究文章。特别鼓励有关流行病学研究、临床试验和荟萃分析/系统评价方法的文章，以及对方法选择与研究结果之间关联的实证研究。 BMC 医学研究方法论的目的不是发表描述科学方法或技术的文章：这些文章应直接提交给涵盖相关生物医学主题领域的 BMC 期刊。

BMC Medical Research Methodology is an open-access journal that publishes original peer-reviewed research articles on healthcare research methodology. The journal particularly encourages submissions related to epidemiological studies, clinical trials, and meta-analysis/systematic review methods, as well as empirical research exploring the relationship between methodological choices and research outcomes. The aim of BMC Medical Research Methodology is not to publish articles that merely describe scientific methods or techniques; such articles should be submitted directly to BMC journals that cover relevant biomedical subject areas.

BMC Medical Research Methodology 是一本开放获取期刊，专注于发表医疗保健研究方法论方面的原创同行评审研究文章。期刊特别鼓励关于流行病学研究、临床试验以及荟萃分析/系统评价方法的文章，同时也欢迎探讨方法选择与研究结果之间关系的实证研究。BMC Medical Research Methodology 的目标不是发表描述科学方法或技术的文章，这类文章应直接提交给涵盖相关生物医学主题的 BMC 期刊。

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Partial-linear single-index Cox regression models with multiple time-dependent covariates

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Category	Quartile
HEALTH CARE SCIENCES & SERVICES	1