Results 281 to 290 of about 1,790,008 (339)

Logistic regression analysis of pregnancy outcome and EFI score of infertile patients with ovarian endometriosis cyst after staged oral administration of traditional Chinese medicine. [PDF]

Front Endocrinol (Lausanne)
Bo Y, Peng S, Su J, Ye D.
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Multilevel Bayesian logistic regression analysis of MetS and leading NCD risk factors among 118 public primary school teachers in mid-2019 in Gqeberha, South Africa. Bold values indicate statistically significant results.

Nandi Joubert (5946338), Larissa Adams (4011692), Jan Hattendorf (113923), Jan Degen (12527314), Danielle Dolley (12527311), Annelie Gresse (21499942), Ivan Müller (213206), Siphesihle Nqweniso (4011704), Nicole Probst-Hensch (520032), Harald Seelig (3512150), Peter Steinmann (92572), Rosa du Randt (3512141), Uwe Pühse (18246), Jürg Utzinger (39609), Markus Gerber (421746), Cheryl Walter (3512153)   +15 more
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Risk factors for psychiatric disorders following traumatic brain injury: a multivariate logistic regression analysis. [PDF]

Front Psychiatry
Liu H, Yi T.
europepmc   +1 more source

Multiple logistic regression analysis of associated factors and multicultural adolescents’ psychological well-being (N = 1,147).

Abdullatif Ghafary (21567870), Jaeyong Shin (3450896), Sang Sook Beck (21567873), Jieun Jang (5245817), Rajaguru Vasuki (21567876), So Yoon Kim (8825570)   +5 more
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RETRACTION: Etiological Characteristics of Wound Infection in Severe Trauma Patients and Logistic Regression Analysis of Influencing Factors of Infection. [PDF]

Int Wound J
europepmc   +1 more source

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Logistic regression in data analysis: an overview

International Journal of Data Analysis Techniques and Strategies, 2011
Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and machine learning perspective and how LR can be applied to
Maher Maalouf
exaly   +2 more sources

FUZZY CLASS LOGISTIC REGRESSION ANALYSIS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
Distribution mixtures are used as models to analyze grouped data. The estimation of parameters is an important step for mixture distributions. The latent class model is generally used as the analysis of mixture distributions for discrete data. In this paper, we consider the parameter estimation for a mixture of logistic regression models. We know that
Miin-Shen Yang, Hwei-Ming Chen
openaire   +1 more source

LOGISTIC REGRESSION IN SURVIVAL ANALYSIS

American Journal of Epidemiology, 1985
Logistic regression has been applied to numerous investigations that examine the relationship between risk factors and various disease events. Recently, the ability to consider the time element of event occurrences by proportional hazards models has meant that logistic regression has played a less important role in the analysis of survival data.
openaire   +2 more sources