American medical botany :being a collection of the native medicinal plants of the United States, containing their botanical history and chemical analysis, and properties and uses in medicine, diet and the arts /by Jacob Bigelow.

v. 3

Outlines of lectures on materia medica and botany :delivered in Jefferson Medical College, Philadelphia /by William P.C. Barton.

v.2 (1827)

Outlines of lectures on materia medica and botany :delivered in Jefferson Medical College, Philadelphia /by William P.C. Barton.

v.1 (1827)

Vegetable materia medica of the United States, or, Medical botany :containing a botanical, general, and medical history of medicinal plants indigenous to the United States. Illustrated by coloured engravings, made after drawings from nature, done by the author /by William P.C. Barton.

v. 1

Vegetable materia medica of the United States, or, Medical botany :containing a botanical, general, and medical history of medicinal plants indigenous to the United States. Illustrated by coloured engravings, made after drawings from nature, done by the author /by William P.C. Barton.

v. 2

The human genetic mutant cell repository : list of genetic variants, chromosomal aberrations and normal cell cultures submitted to the repository / Institute for Medical Research, Camden, New Jersey.

4th ed.

Modeling usage of medical care services: the medical expenditure panel survey data, 1996-2000

We explore the determinants of usage of six different types of health care services, using the Medical Expenditure Panel Survey data, years 1996-2000. We apply a number of models for univariate count data, including semiparametric, semi-nonparametric and finite mixture models. We find that the complexity of the model that is required to fit the data well depends upon the way in which the data is pooled across sexes and over time, and upon the characteristics of the usage measure. Pooling across time and sexes is almost always favored, but when more heterogeneous data is pooled it is often the case that a more complex statistical model is required.

Likelihood-based approaches to modeling demand for medical care

We review recent likelihood-based approaches to modeling demand for medical care. A semi-nonparametric model along the lines of Cameron and Johansson's Poisson polynomial model, but using a negative binomial baseline model, is introduced. We apply these models, as well a semiparametric Poisson, hurdle semiparametric Poisson, and finite mixtures of negative binomial models to six measures of health care usage taken from the Medical Expenditure Panel survey. We conclude that most of the models lead to statistically similar results, both in terms of information criteria and conditional and unconditional prediction. This suggests that applied researchers may not need to be overly concerned with the choice of which of these models they use to analyze data on health care demand.

Optimal regulation of specialized medical care in a mixed system

We study the optimal public intervention in setting minimum standards of formation for specialized medical care. The abilities the physicians obtain by means of their training allow them to improve their performance as providers of cure and earn some monopoly rents.. Our aim is to characterize the most efficient regulation in this field taking into account different regulatory frameworks. We find that the existing situation in some countries, in which the amount of specialization is controlled, and the costs of this process of specialization are publicly financed, can be supported as the best possible intervention.