Logistic Regression: A Self-Learning Text

By Snehalata Huzurbazar. 2003

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Citations in the corpus

Statistical Arbitrage in Cryptocurrency Markets (2019, background): “…of all coins over the following 120 min” (class 1) and “the coin does not outperform” (class 0), our model is a linear function of the form with α , β denoting the intercept and coefﬁcients, y the dependent and x the independent variable/feature vector (Berkson 1953; Kleinbaum and Klein 2010).”
Standard survey methods for estimating colony losses and explanatory risk factors in Apis mellifera (2013, background): “Kleinbaum and Klein (2002), Hosmer and Lemeshow (2000) and Agresti (2002) give an in-depth explanation of the principles of logistic regression, their interpretation, and the construction of best fitting models.”
Examining the influence of service additions on manufacturing firms' bankruptcy likelihood (2017, methodology): “…represented almost 10% (30 over 303) of the total companies in the sample, eliminating outliers is a highly recommended procedure to avoid that extreme data points can distort the results of the analysis and lead to incorrect inferences (see, e.g. Kleinbaum and Klein, 2010; Sarkar et al., 2011).”
Motivational Processing and Choice Behavior During Television Viewing: An Integrative Dynamic Approach (2011, methodology): “The probability function G, which is also called the link function in the generalized linear model, is a logistic function (Hosmer & Stanley, 1989; Kleinbaum, 1994).”
Muscle Weakness and Falls in Older Adults: A Systematic Review and Meta‐Analysis (2004, methodology): “Odds ratios (ORs) are primarily used in meta-analyses because their statistical properties facilitate easier interpretation of the resultant models.(17) To obtain estimates of risk from each study, the following strategy was used.”
SEED MASS AND MAST SEEDING ENHANCE DISPERSAL BY A NEOTROPICAL SCATTER-HOARDING RODENT (2004, methodology): “We used logistic regression (Kleinbaum 1994) to analyze alternative fates as a function of seed mass in rich and poor years.”
A Dynamic Model of Etiology in Sport Injury: The Recursive Nature of Risk and Causation (2007, methodology): “For dichotomous outcomes, logistic regression may be used to estimate the exposure-outcome relation in the presence of covariates.(16) With this approach, the problem of a changing covariate profile (ie, time-dependent covariates) is not an issue, as these changing covariates would simply need to be”
Who's to blame? Narcissism and self‐serving attributions following feedback (2003, methodology): “Logistic regression analysis can be conceived of as multiple regression analysis for categorical outcome variables (Hosmer & Lemeshow, 1989; Kleinbaum, 1994).”
Maternal psychological stress and distress as predictors of low birth weight, prematurity and intrauterine growth retardation (2003, methodology): “The associations between the outcomes (LBW, prematurity and IUGR) and the psychological measures were controlled for confounding factors (possible risk factors), and assessed separately in three multiple logistic regression models (Kleinbaum, 1996).”
Logistic regression in the medical literature: standards for use and reporting, with particular attention to one medical domain. (2001, background): “Statistical significance Statistical tests of significance can be applied to each variable’s coefficients and to the entire model [3,4,6,16,17].”
Read this paper if you want to learn logistic regression (2020, background): “For Kleibaum and Klein (2010), that logistic functions vary between 0 and 1 ex- 5We will not discuss the mathematical foundations of logistic regression.”
The Reporting of SDGs by Quality, Environmental, and Occupational Health and Safety-Certified Organizations (2019, methodology): “The proposed estimation model is supported by Equation 2, which was based on the mathematical assumptions of binary logistic regression [91], [92], and, in turn, the dependent variable and independent variables are all binary (0, 1).”
Risk of Clostridium difficile diarrhea among hospital inpatients prescribed proton pump inhibitors: cohort and case–control studies (2004, methodology): “difficile diarrhea in association with the use of proton pump inhibitors, H2 blockers and antibiotics, taken separately and in various combinations, were estimated along with the corresponding 95% confidence intervals (CIs).(20) Multivariate logistic regression was used to obtain the adjusted odds r”
Modeling urban growth in Atlanta using logistic regression (2007, background): “If binary values 1 and 0 are used to represent urban growth and no urban growth respectively and if it is assumed that the probability of a cell changing to urban use follows the logistic curve as described by the logistic function (Kleinbaum, 1994):”