Results 31 to 40 of about 2,431,681 (314)
Surviving in the era of "Big Data" [PDF]
Blood Research, 2013 In the Stone Age, livelihood required only a few tools, including stone axes, stone blades, stone mortars, and earthenware. These simple tools may have been adequate for survival in that period. However, human lifestyle has dramatically changed over a long history of "ups and downs." There have been many remarkable advances in the fields of knowledge ...
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What should we do about cultivated mushroom invasions?
Studies in FungiFungal invasions can have detrimental impacts on native species. While most invasive fungi are the result of unintentional introductions, cultivated edible and medicinal species used for commercial and at-home production are transported globally, and ...
Jeffery K. Stallman, Jessica L. Allen
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Exponentiated exponential models for survival data
, 2011 The Exponentiated Exponential (EE) model serves as an alternative to Exponential, Weibull and Gamma models. It is observed that EE model has been used in the analysis of complete life time data.
Sundaram, N, Venkatesan, P
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On the relative efficiency of grouped and censored survival data
, 1989 The relative efficiency of a censored experiment compared with the corresponding noncensored experiment for inference is examined for grouped survival data. It is assumed that observations are randomly right-censored.
Turrero Nogués, Agustín
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Analysis of survival data with cross-effects of survival functions [PDF]
Biostatistics, 2004 We present a model and semiparametric estimation procedures for analysis of survival data with cross-effects (CE) of survival functions. Finite sample properties of the estimators are analyzed by simulation. A goodness-of-fit test for the proportional hazards model against the CE model is proposed. The well known data concerning effects of chemotherapy
Bagdonavicius, Vilijandas +2 more
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A bivariate mixed model approach for the analysis of plant survival data
, 2013 Disease resistance is often measured as plant survival, which involves taking multiple counts of plants before and after disease incidence. Often, survival data are analyzed by forming a single derived variable, namely final counts expressed as a ...
Beeck, C. +10 more
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BMC Medical Research Methodology, 2022 Background Data from certain subgroups of clinical interest may not be presented in primary manuscripts or conference abstract presentations. In an effort to enable secondary data analyses, we propose a workflow to retrieve unreported subgroup survival ...
Joseph J. Zhao +6 more
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Quantile Regression for Survival Data
Annual Review of Statistics and Its Application, 2021 Quantile regression offers a useful alternative strategy for analyzing survival data. Compared with traditional survival analysis methods, quantile regression allows for comprehensive and flexible evaluations of covariate effects on a survival outcome of interest while providing simple physical interpretations on the time scale. Moreover, many quantile
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
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Health Science ReportsBackground and Aims Globally, chronic obstructive pulmonary disease (COPD) is one of the main causes of illness and death. Understanding the problem with respect to these factors is essential to finding a solution.
Yoseph Kassa +3 more
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