Phylogenetic Logistic Regression for Binary Dependent Variables
نویسندگان
چکیده
منابع مشابه
Phylogenetic logistic regression for binary dependent variables.
We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an evolutionary model of binary traits in which trait values switch between 0 and 1 as species evolve up a phylo...
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We compare three methods for phylogenetic regression analyses designed for binary dependent variables (traits with two discrete states) both with each other and with ‘‘standard’’ methods that either ignore phylogenetic relationships or ignore the binary character of the dependent variable. In simulations designed to reveal statistical problems arising in different methods, PLogReg (Ives and Gar...
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Finite-sample properties of non-parametric regression for binary dependent variables are analyzed. Non parametric regression is generally considered as highly variable in small samples when the number of regressors is large. In binary choice models, however, it may be more reliable since its variance is bounded. The precision in estimating conditional means as well as marginal effects is invest...
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1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...
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BACKGROUND Structural equation modelling (SEM) has been increasingly used in medical statistics for solving a system of related regression equations. However, a great obstacle for its wider use has been its difficulty in handling categorical variables within the framework of generalised linear models. METHODS A large data set with a known structure among two related outcomes and three indepen...
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ژورنال
عنوان ژورنال: Systematic Biology
سال: 2009
ISSN: 1076-836X,1063-5157
DOI: 10.1093/sysbio/syp074