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Significance tests and goodness of fit in the analysis of covariance structures.
Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimatio...
Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China
This Viewpoint summarizes key epidemiologic and clinical findings from all cases of coronavirus disease 2019 (COVID-19) reported through February 11, 2020, in mainland China, an...
Genetic Algorithms in Search, Optimization and Machine Learning
David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent ...
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to...
Longitudinal data analysis using generalized linear models
This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates o...
Cancer statistics, 2022
Abstract Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population‐based c...
Structural Equations with Latent Variables.
Model Notation, Covariances, and Path Analysis. Causality and Causal Models. Structural Equation Models with Observed Variables. The Consequences of Measurement Error. Measureme...
A method for registration of 3-D shapes
The authors describe a general-purpose, representation-independent method for the accurate and computationally efficient registration of 3-D shapes including free-form curves an...
The genetical theory of natural selection
We need scarcely add that the contemplation in natural science of a wider domain than the actual leads to a far better understanding of the actual.' (p. 267,The, Nature of the P...
Statistical Analysis With Missing Data
Preface.PART I: OVERVIEW AND BASIC APPROACHES.Introduction.Missing Data in Experiments.Complete-Case and Available-Case Analysis, Including Weighting Methods.Single Imputation M...
Testing for a unit root in time series regression
This paper proposes new tests for detecting the presence of a unit root in quite general time series models. Our approach is nonparametric with respect to nuisance parameters an...