• Home
  • Search
  • Using permutation tests to enhance causal inference in interrupted time series analysis.
  • Cite Icon6
  • https://doi.org/10.1111/jep.12899Copy DOI Icon

Using permutation tests to enhance causal inference in interrupted time series analysis.

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

Interrupted time series analysis (ITSA) is an evaluation methodology in which a single treatment unit's outcome is studied serially over time and the intervention is expected to "interrupt" the level and/or trend of that outcome. The internal validity is strengthened considerably when the treated unit is contrasted with a comparable control group. In this paper, we introduce a robustness check based on permutation tests to further improve causal inference. We evaluate the effect of California's Proposition 99 for reducing cigarette sales by iteratively casting each nontreated state into the role of "treated," creating a comparable control group using the ITSAMATCH package in Stata, and then evaluating treatment effects using ITSA regression. If statistically significant "treatment effects" are estimated for pseudotreated states, then any significant changes in the outcome of the actual treatment unit (California) cannot be attributed to the intervention. We perform these analyses setting the cutpoint significance level to P>.40 for identifying balanced matches (the highest threshold possible for which controls could still be found for California) and use the difference in differences of trends as the treatment effect estimator. Only California attained a statistically significant treatment effect, strengthening confidence in the conclusion that Proposition 99 reduced cigarette sales. The proposed permutation testing framework provides an additional robustness check to either support or refute a treatment effect identified in for the true treated unit in ITSA. Given its value and ease of implementation, this framework should be considered as a standard robustness test in all multiple group interrupted time series analyses.

Similar Papers
  • Research Article
  • Citations41

Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluation.

  • Jan 22, 2018
  • Journal of Evaluation in Clinical Practice
  • Ariel Linden
  • Research Article
  • Citations14

Variation in the technical support of radiation oncology in different practice settings

  • Jun 01, 1989
  • International Journal of Radiation Oncology, Biology, Physics
  • Gerald E Hanks +2
  • PDF
  • Research Article
  • Citations9

Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis

  • Feb 03, 2023
  • Antibiotics
  • Natalia Alzueta +7
  • PDF
  • Research Article
  • Citations3

The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis.

  • Oct 14, 2021
  • International journal of environmental research and public health
  • Yulin Hswen +8
  • Research Article
  • Citations5

Chronic Opioid Therapy Utilization Following an Acute Pain Prescription Supply Restriction Law: An Interrupted Time Series Analysis

  • Sep 17, 2021
  • Pain Physician
  • Yun Shen +5
  • Research Article

Implementation of the 2015 American Thyroid Association guideline changes across a health system: A quality improvement opportunity

  • Apr 07, 2024
  • Surgical Oncology Insight
  • Sara P Ginzberg +6
  • Abstract

06: Supracervical or total hysterectomy at the time of a laparoscopic colpopexy: national trends in surgical practice

  • Feb 28, 2020
  • American Journal of Obstetrics and Gynecology
  • W.D Winkelman +2
  • PDF
  • Research Article
  • Citations20

Internet of things in healthcare for patient safety: an empirical study

  • Mar 01, 2022
  • BMC Health Services Research
  • Tahera Yesmin +2
  • Research Article
  • Citations16

Impact of the Diabetes Inpatient Care and Education (DICE) project on length of stay and mortality.

  • Aug 02, 2019
  • Diabetic Medicine
  • F Akiboye +8
  • Abstract

AB0227 Impact of early arthritis clinic on the rate of treatment with biologics in rheumatoid arthritis: interrupted time series analysis

  • Jun 01, 2017
  • Annals of the Rheumatic Diseases
  • I Farina +5
  • Research Article
  • Citations2

Impact of an Inpatient Allergy Guideline on β-Lactam and Alternative Antibiotic Use.

  • Aug 01, 2023
  • The Journal of Allergy and Clinical Immunology: In Practice
  • Iris M Otani +12
  • Research Article
  • Citations2

Microbiology of infective endocarditis in Hong Kong from 2000 to 2019: a 20-year analysis

  • Oct 12, 2021
  • European Heart Journal
  • H L Li +6
  • Research Article
  • Citations40

Impact of antibiotic restriction on resistance levels of Escherichia coli: a controlled interrupted time series study of a hospital-wide antibiotic stewardship programme.

  • Apr 07, 2016
  • Journal of Antimicrobial Chemotherapy
  • Jonas Boel +6
  • Research Article
  • Citations9

Proton-pump inhibitor utilization associated with the change to nonpreferred formulary status for esomeprazole in the TRICARE formulary.

  • Jan 01, 2009
  • Journal of Managed Care Pharmacy
  • Andrea Linton +2
  • Research Article
  • Citations221

Assessing the Impact of Media Guidelines for Reporting on Suicides in Austria: Interrupted time Series Analysis

  • May 01, 2007
  • Australian & New Zealand Journal of Psychiatry
  • Thomas Niederkrotenthaler +1
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.