Statistics Papers

Document Type

Journal Article

Date of this Version

2007

Publication Source

Journal of the American Statistical Association

Volume

102

Issue

480

Start Page

1185

Last Page

1198

Abstract

Outside the field of statistics, the literature on observational studies offers advice about research designs or strategies for judging whether or not an association is causal, such as multiple operationalism or a dose-response relationship. These useful suggestions are typically informal and qualitative. A quantitative measure, design sensitivity, is proposed for measuring the contribution such strategies are then evaluated in terms of their contribution to design sensitivity. A related method for computing the power of a sensitivity analysis is also developed.

Copyright/Permission Statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the American Statistical Association on 01 Jan 2012, available online: http://wwww.tandfonline.com/10.1198/016214506000001455.

Keywords

autoregressive models, Bayesian forecasting, call center, cubic smoothing spline, inhomogeneous Poisson process, Markov chain Monte Carlo, multiplicative model, sequential Monte Carlo, state-space model

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Date Posted: 27 November 2017