Statistical code for manuscript: What protects against pre-diabetes progressing to diabetes? observational study of integrated health and social data

Andrea Teng

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Statistical code for manuscript: What protects against pre-diabetes progressing to diabetes? observational study of integrated health and social data

Andrea Teng

02/2019

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https://hdl.handle.net/10523/9726

Abstract

statistical code

code sharing

Integrated Data Infrastructure

SAS

program

This is the statistical code used for the manuscript: What protects against pre-diabetes progressing to diabetes? Observational study of integrated health and social data Progression of prediabetes to diabetes study. The full article is available here; https://www.sciencedirect.com/science/article/pii/S0168822718311756. This code was produced as part of the University of Otago, Healthier Lives: Capitalising on New Zealand's Health Data project, in collaboration with Healthier Lives project He Pikinga Waiora and the National Haouora Coalition. This record includes four SAS programs written by Andrea Teng for used in the Statistics New Zealand Integrated Data Infrastructure. The code was run on an earlier refresh and is not expected to run smoothly unless there is correction for updated changes to the IDI. All records have been checked via output checking process. 1. Prediabetes_checked - data management to create a single dataset for the study analysis 2. NHCdataprep_checked - primary care data preparation 3. PDanalysis_checked - the study analysis 4, DMformats_checked - study variable formats

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sas

1. Prediabetes_checked.sasDownload View

1. Prediabetes_checked - data management to create a single dataset for the study analysisCC BY V4.0, Open Access

sas

2. NHCdataprep_checked.sasDownload View

2. NHCdataprep_checked - primary care data preparationCC BY V4.0, Open Access

sas

3. PDanalysis_checked.sasDownload View

3. PDanalysis_checked - the study analysisCC BY V4.0, Open Access

SAS

4. DMformats_checked.SASDownload View

4, DMformats_checked - study variable formatsCC BY V4.0, Open Access

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Record Identifier: 9926478220201891
Title: Statistical code for manuscript: What protects against pre-diabetes progressing to diabetes? observational study of integrated health and social data
Creators: Andrea Teng
Academic Unit: Public Health (UOW)
Date published ; e-published: 02/2019
Comment: The results from this code are not official statistics. They have been created for research purposes from the Integrated Data Infrastructure (IDI), managed by Statistics New Zealand. The opinions, findings, recommendations, and conclusions expressed in this paper are those of the author(s), not Statistics NZ, or the University of Otago. Access to the anonymised data used in this study was provided by Statistics NZ under the security and confidentiality provisions of the Statistics Act 1975. Only people authorised by the Statistics Act 1975 are allowed to see data about a particular person, household, business, or organisation, and the results in this paper have been confidentialised to protect these groups from identification and to keep their data safe. Careful consideration has been given to the privacy, security, and confidentiality issues associated with using administrative and survey data in the IDI. Further detail can be found in the Privacy impact assessment for the Integrated Data Infrastructure available from www.stats.govt.nz. The results from this code are based in part on tax data supplied by Inland Revenue to Statistics NZ under the Tax Administration Act 1994. This tax data must be used only for statistical purposes, and no individual information may be published or disclosed in any other form, or provided to Inland Revenue for administrative or regulatory purposes. Any person who has had access to the unit record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy. Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data’s ability to support Inland Revenue’s core operational requirements.
Language: English
Resource Type ; Subtype: Code
Format: application/octet-stream; application/octet-stream; application/octet-stream; application/octet-stream