Estimating variance components in hiearchical structures using minque and restricted maximum livelihood

This paper presents a compact and efficient method for computing MINQUE and restricted maximum likelihood estimates of variance components for hierarchical classification models. The method does not require storage of large matrices and consequently removes limitations on the size of the structure, Ibcperience indicates that iterative MINQUE computations converge very rapidly to the restricted maximum likelihood estimates.     

Analysis of categorical data obtained by stratified random sampling

Analysis of categorical data by linear models is extended to data obtained by stratified random sampling. It is shown that, asymptotically, proportional allocation reduces the variances of estimators from those obtained hy simple random sampling. The difference between the asymptotic covariance matrices of estimated parameters obtained by simple random sampling and stratified random sampling with proportional allocation is shown to be positive definite vinder fairly non-restrictive conditions, when an asymptotically efficient method of estimation is used. Data from a major community study of mental health are used to illustrate application of the technique.     

Keeping Time: An Analysis of Errors in the Measurement of Unemployment Duration

This study uses longitudinal microdata from the Current Population Survey to examine the consistency with which unemployment duration is reported. An estimate of measurement error is proposed and analyzed. A significant negative relationship is found between the initial month's unemployment duration and the reported change between surveys. On average, persons who begin spells of unemployment in the second month report durations greater than the actual time elapsed. Overall, the average duration of unemployment in this sample may be overstated by at least two weeks. A brief discussion of some implications for empirical labor market research concludes the article.     

Criteria and Considerations in the Evaluation of Statistical Program Packages

Consider a random experiment with N equally likely outcomes. This article derives conditions in terms of the prime factorization of N for the existence of classes of pairwise independent and mutually independent events. Some examples are given to elucidate the conditions.     

Dealing with excess of zeros in the statistical analysis of magnetic resonance imaging lesion count in multiple sclerosis

Lesion count observed on brain magnetic resonance imaging scan is a common end point in phase 2 clinical trials evaluating therapeutic treatment in relapsing remitting multiple sclerosis (MS). This paper compares the performances of Poisson, zero‐inflated poisson (ZIP), negative binomial (NB), and zero‐inflated NB (ZINB) mixed‐effects regression models in fitting lesion count data in a clinical trial evaluating the efficacy and safety of fingolimod in comparison with placebo, in MS. The NB and ZINB models prove to be superior to the Poisson and ZIP models. We discuss the advantages and limitations of zero‐inflated models in the context of MS treatment. Copyright © 2012 John Wiley & Sons, Ltd.     

Rationality and Bureaucracy: Maoist Contributions to a Marxist Theory of Bureaucracy*

The assessments of the role of bureaucracy in socialism offered by Weber and Lenin are seriously weakened by their reliance on an inadequately developed category of rationality. A genuinely Marxist theory of bureaucracy presupposes a clarification of the category of rationality, and such is presented in accordance with the communicative model recently formulated by Habermas and Gouldner. Premised on several important features of this model, the Maoist ideal type of bureaucracy provides Marxist social theory with a solid basis for advancing a theory of bureaucracy and, at the same time, seriously challenges the Weberian claim that socialism can be either a modern society or revolutionary society, but not both.