Results 11 to 20 of about 3,209,047 (297)
Linear and logistic regression analysis [PDF]
Kidney International, 2008 In previous articles of this series, we focused on relative risks and odds ratios as measures of effect to assess the relationship between exposure to risk factors and clinical outcomes and on control for confounding. In randomized clinical trials, the random allocation of patients is hoped to produce groups similar with respect to risk factors.
Tripepi G +3 more
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Indian Journal of Psychiatry, 2023 The National Mental Health Survey of India (NMHS) was a ground-breaking nationwide study that harnessed a uniform, standardized methodology blending quantitative and qualitative approaches. Covering data from 12 states across diverse regions, its mission
Satish Suhas +6 more
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Multilevel Logistic Regression Analysis Applied to Binary Contraceptive Prevalence Data
Journal of Data Science, 2021 In public health, demography and sociology, large-scale surveys often follow a hierarchical data structure as the surveys are based on multistage stratified cluster sampling.
H. R. Khan, John Ewart Hardern Shaw
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High performance logistic regression for privacy-preserving genome analysis
BMC Medical Genomics, 2021 Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns.
Martine De Cock +5 more
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ANOVA bootstrapped principal components analysis for logistic regression
Croatian Review of Economic, Business and Social Statistics, 2022 Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy.
Toleva Borislava
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Archives of Public Health, 2021 Background Even though the global under-five mortality rate substantially decreased over time, Sub-Saharan African (SSA) countries including Ethiopia continue to share the huge burden of under-five mortality.
M. Worku +2 more
semanticscholar +1 more source
Sovereign Credit Ratings Analysis Using the Logistic Regression Model
Risks, 2022 This study is an empirical analysis of sovereign credit ratings (SCR) in South Africa (SA) using Logistic Regression (LR) to identify their determinants and forecast SCRs.
Oliver Takawira, John W. Muteba Mwamba
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Int. J. Medical Informatics, 2021 INTRODUCTION We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model. METHODS Eligible studies were identified using PubMed and Embase.
Xuan Song +3 more
semanticscholar +1 more source
A simulation study of the number of events per variable in logistic regression analysis.
Journal of Clinical Epidemiology, 1996 We performed a Monte Carlo study to evaluate the effect of the number of events per variable (EPV) analyzed in logistic regression analysis. The simulations were based on data from a cardiac trial of 673 patients in which 252 deaths occurred and seven ...
P. Peduzzi +4 more
semanticscholar +1 more source
BMC Public Health, 2020 Background On March 23, 2020, the government of the United Kingdom told the British people to stay home, an unprecedented request designed to limit the spread of the COVID-19 virus and stop the National Health Service from being overwhelmed. Methods This
S. Hills, Y. Eraso
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