Results 1 to 10 of about 381,914 (292)

A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study [PDF]

BMC Medical Research Methodology, 2016
Background Typical survival studies follow individuals to an event and measure explanatory variables for that event, sometimes repeatedly over the course of follow up.
Julius S. Ngwa, Howard J. Cabral, Debbie M. Cheng, Michael J. Pencina, David R. Gagnon, Michael P. LaValley, L. Adrienne Cupples   +6 more
doaj   +10 more sources

U-shaped link of health checkup data and need for care using a time-dependent cox regression model with a restricted cubic spline [PDF]

Scientific Reports, 2023
We explored risk indicators likely to result in older adults needing certified long-term care in Japan and ascertained whether this relationship forms a U-shaped link. We analyzed a community-based cohort of residents in Kitanagoya City, Aichi Prefecture,
Masahiro Nakatochi, Akitaka Sugishita, Chihiro Watanabe, Etsuko Fuchita, Masaaki Mizuno   +4 more
doaj   +6 more sources

Association of C-reactive protein and non-steroidal anti-inflammatory drugs with cardiovascular events in patients with psoriatic arthritis: a time-dependent Cox regression analysis [PDF]

Therapeutic Advances in Musculoskeletal Disease, 2021
Aims: Psoriatic arthritis (PsA) is associated with accelerated atherosclerosis due to underlying inflammation. Whether inflammatory burden and drugs used to suppress inflammation over time are associated with cardiovascular (CV) events remained unclear ...
Steven H. Lam, Ho So, Isaac T. Cheng, Edmund K. Li, Priscilla Wong, Tena K. Li, Alex Pui-Wai Lee, Lai-Shan Tam   +7 more
doaj   +6 more sources

Impact of nucleos(t)ide analogues on the risk of hepatocellular carcinoma in chronic hepatitis B patients: a time-dependent Cox regression analysis [PDF]

Frontiers in Gastroenterology, 2023
Background and aimsThe preventive effect of nucleos(t)ide analog (NA) use on HCC development in patients with chronic hepatitis B (CHB) is controversial due to the difficulty of conducting randomized controlled trials.Approach and resultsIn this single ...
Makoto Moriyama, Ryosuke Tateishi, Mizuki Nishibatake Kinoshita, Tsuyoshi Fukumoto, Tomoharu Yamada, Taijiro Wake, Ryo Nakagomi, Takuma Nakatsuka, Tatsuya Minami, Masaya Sato, Mitsuhiro Fujishiro, Kazuhiko Koike, Kazuhiko Koike   +12 more
doaj   +7 more sources

Dynamic biomarkers and Cox regression with time-dependent covariate for mortality prediction in severe fever with thrombocytopenia syndrome [PDF]

Scientific Reports
Severe fever with thrombocytopenia syndrome (SFTS) is a fatal tick-borne infectious disease that lacks effective treatments. Dynamic analysis that reflects changes in the SFTS patient’s condition is needed. This study aimed to evaluate the time-dependent
Hyun Ji Woo, Sang Taek Heo, Jeong Rae Yoo, Misun Kim, Jaeseong Oh, In-Gyu Bae, Sohyun Bae, Young-Ran Yoon, Jeong-Hwan Hwang, Miri Hyun, Hyun ah Kim, Sook In Jung, Ki Tae Kwon, Soyoon Hwang, Uh Jin Kim, Gaeun Kang, Young Jun Kim, Ji Hyun Yun, Tae-Eun Kim, Tae-Kyu Kwon, Min-Gul Kim   +20 more
doaj   +6 more sources

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

BMC Medical Research Methodology
Background 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
Myeonggyun Lee, Andrea B. Troxel, Sophia Kwon, George Crowley, Theresa Schwartz, Rachel Zeig-Owens, David J. Prezant, Anna Nolan, Mengling Liu   +8 more
doaj   +4 more sources

Post-tuberculosis mortality risk among immigrants to British Columbia, Canada, 1985-2015: a time-dependent Cox regression analysis of linked immigration, public health, and vital statistics data. [PDF]

Can J Public Health, 2021
Basham CA, Karim ME, Cook VJ, Patrick DM, Johnston JC.   +4 more
europepmc   +3 more sources

Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models [PDF]

BMC Infectious Diseases
Background Survival analysis is widely used to predict time-to-event outcomes, with the Cox regression model being a standard approach. However, machine learning methods such as Random Survival Forests (RSF) can capture complex, non-linear relationships ...
Azeez Adeboye, Osuji Georgeleen, Adelabu Olusesan, Noel Colin   +3 more
doaj   +2 more sources

Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study [PDF]

European Journal of Medical Research
Purpose Predicting local recurrence after stereotactic body radiation therapy (SBRT) for lung cancer remains challenging. This study aims to develop a machine learning (ML)-based prognostic model for local control (LC) prediction by comparing different ...
Bao-Tian Huang, Pei-Xian Lin, Ying Wang, Li-Mei Luo   +3 more
doaj   +2 more sources

A prognostic nomogram for colorectal cancer based on ubiquitin-specific protease 21 expression: a retrospective cohort study [PDF]

Frontiers in Molecular Biosciences
BackgroundColorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, and substantial prognostic heterogeneity exists among patients with similar TNM stages.
Hua Chen, Tianhao Lao, Tong Shen, Yongqiang Wang, Jie Yang   +4 more
doaj   +2 more sources