SURVCOLLAPSE: Stata module to collapse surveillance data over a chosen time unit and complete the series

Leonelo Bautista ()
Additional contact information
Leonelo Bautista: University of Wisconsin-Madison

Statistical Software Components from Boston College Department of Economics

Abstract: survcollapse collapses surveillance data in which each observation may represent a single case or multiple cases occurring on the same date (time unit), producing totals over a user-selected coarser time unit (for example, aggregating daily data to weekly or monthly data). It ensures that the resulting time series is complete: observations for time units (e.g., days) that did not exist in the original dataset are automatically created and assigned 0 cases. Only gaps between the minimum and maximum observed value of timevar() are completed. The flag variable created indicates whether a time unit was observed in the original data (created = 0) or was generated by survcollapse and assigned 0 cases in the collapsed data (created = 1).

Language: Stata
Requires: Stata version 15.1
Keywords: survey data; svy; collapse (search for similar items in EconPapers)
Date: 2025-12-21
Note: This module should be installed from within Stata by typing "ssc install survcollapse". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/survcollapse.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/survcollapse.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/survcollapse_test_data.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459570

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().