Harvard University

About: Harvard University is a education organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 208150 authors who have published 530388 publications receiving 38152182 citations. The organization is also known as: Harvard & University of Harvard.

Short-Term Synaptic Plasticity

Abstract: ▪ Abstract Synaptic transmission is a dynamic process. Postsynaptic responses wax and wane as presynaptic activity evolves. This prominent characteristic of chemical synaptic transmission is a crucial determinant of the response properties of synapses and, in turn, of the stimulus properties selected by neural networks and of the patterns of activity generated by those networks. This review focuses on synaptic changes that result from prior activity in the synapse under study, and is restricted to short-term effects that last for at most a few minutes. Forms of synaptic enhancement, such as facilitation, augmentation, and post-tetanic potentiation, are usually attributed to effects of a residual elevation in presynaptic [Ca2+]i, acting on one or more molecular targets that appear to be distinct from the secretory trigger responsible for fast exocytosis and phasic release of transmitter to single action potentials. We discuss the evidence for this hypothesis, and the origins of the different kinetic phases...

Misery Loves Companies: Rethinking Social Initiatives by Business:

Abstract: Companies are increasingly asked to provide innovative solutions to deep-seated problems of human misery, even as economic theory instructs managers to focus on maximizing their shareholders' wealt

Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application to Educational Enrollments in States of India

Abstract: This paper has an empirical and overtly methodological goal. The authors propose and defend a method for estimating the effect of household economic status on educational outcomes without direct survey information on income or expenditures. They construct an index based on indicators of household assets, solving the vexing problem of choosing the appropriate weights by allowing them to be determined by the statistical procedure of principal components. While the data for India cannot be used to compare alternative approaches they use data from Indonesia, Nepal, and Pakistan which have both expenditures and asset variables for the same households. With these data the authors show that not only is there a correspondence between a classification of households based on the asset index and consumption expenditures but also that the evidence is consistent with the asset index being a better proxy for predicting enrollments--apparently less subject to measurement error for this purpose--than consumption expenditures. The relationship between household wealth and educational enrollment of children can be estimated without expenditure data. A method for doing so - which uses an index based on household asset ownership indicators- is proposed and defended in this paper. In India, children from the wealthiest households are over 30 percentage points more likely to be in school than those from the poorest households.

Marginal Structural Models and Causal Inference in Epidemiology

Abstract: In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators.