Pudney, S. orcid.org/0000-0002-5697-0976 (2019) intcount: A command for fitting count-data models from interval data. The Stata Journal, 19 (3). pp. 645-666. ISSN 1536-867X
Abstract
In this article, I describe a community-contributed command, intcount, that fits one of several regression models for count data observed in interval form. The models available are Poisson, negative binomial, and binomial, and they can be fit in standard or zero-inflated form. I illustrate the command with an application to analysis of data from the UK Understanding Society survey on the demand for healthcare services.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 StataCorp LLC. This is an author-produced version of a paper subsequently published in The Stata Journal. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | st0571, intcount, count data, interval data, zero-inflated, interpolation, Understanding Society |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Funding Information: | Funder Grant number ECONOMIC & SOCIAL RESEARCH COUNCIL ES/M008592/1 ECONOMIC & SOCIAL RESEARCH COUNCIL ES/N00812X/1 ECONOMIC & SOCIAL RESEARCH COUNCIL ES/L009153/1 ECONOMIC & SOCIAL RESEARCH COUNCIL ES/M008592/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Jun 2019 13:24 |
Last Modified: | 13 May 2021 16:10 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/1536867X19874240 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147064 |