Results 31 to 40 of about 748,596 (376)
Locally R-optimal designs for a class of nonlinear multiple regression models
Statistical Theory and Related Fields, 2023 This paper concerns with optimal designs for a wide class of nonlinear models with information driven by the linear predictor. The aim of this study is to generate an R-optimal design which minimizes the product of the main diagonal entries of the ...
Lei He, Rong-Xian Yue
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The Prediction Value of (Neutrophil+Monocyte) /Lymphocyte Ratio on In-hospital Mortality of Heart Failure Patients [PDF]
Zhongguo quanke yixue, 2023 Background Heart failure (HF) is known to be one of the major problems in the cardiovascular field needed to be urgently addressed due to its high incidence, high mortality and poor prognosis. Searching for the optimal risk assessment method is currently
MA Yanyan, REN Fuxian, WANG Yu, GAO Dengfeng
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, 2018 Survival analysis is a branch of statistics, which is focussed on the analysis of time- to-event data. In multivariate survival analysis, the proportional hazards (PH) is the most popular model in order to analyze the effects of several covariates on the
Alfensi Faruk
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
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BMC Musculoskeletal Disorders, 2022 Background Both knee osteoarthritis (KOA) and depressive symptoms (DS) are major public health issues affecting the quality of life. This study aimed to examine the association between KOA and DS.
Han Lu +7 more
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BMC Medical Research Methodology, 2018 Background Multidrug-resistant tuberculosis (MDR-TB) cohorts often lack long-term survival data, and are summarized instead by initial treatment outcomes.
Meredith B. Brooks +5 more
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Interval-Censored Regression with Non-Proportional Hazards with Applications
Stats, 2023 Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera +4 more
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Generating survival times to simulate Cox proportional hazards models with time-varying covariates
Statistics in Medicine, 2012 Simulations and Monte Carlo methods serve an important role in modern statistical research. They allow for an examination of the performance of statistical procedures in settings in which analytic and mathematical derivations may not be feasible.
P. Austin
semanticscholar +1 more source
Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore +17 more
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Oral diabetes medication monotherapy and short-term mortality in individuals with type 2 diabetes and coronary artery disease [PDF]
, 2018 Objective To determine whether sulfonylurea use, compared with non-sulfonylurea oral diabetes medication use, was associated with 2-year mortality in individuals with well-controlled diabetes and coronary artery disease (CAD). Research design and methods
Berkowitz, Seth A +7 more
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