Interrupted time series regression for the evaluation of public health interventions: a tutorial

Soumerai, 2015, How do you know which health care effectiveness research you can trust? A guide to study design for the perplexed, Prev Chronic Dis, 12, E101, 10.5888/pcd12.150187

Bonell, 2009, Alternatives to randomisation in the evaluation of public health interventions: Design challenges and solutions, J Epidemiol Community Health, 65, 582, 10.1136/jech.2008.082602

10.2105/AJPH.94.3.400

10.1136/bmj.321.7262.694

10.1046/j.1365-2710.2002.00430.x

10.1016/j.vaccine.2015.08.022

10.1136/bmj.f2674

10.1136/bmj.f403

10.1136/bmj.b4469

10.1016/S1473-3099(13)70295-0

Lopez, 2013, The effect of the late 2000s financial crisis on suicides in Spain: an interrupted time series analysis, EJPH, 23, 732

Shadish WR Cook TD Campbell DT. Experimental and quasi-experimental designs for generalized causal inference, Boston, Houghton Mifflin, 2002.

10.1023/A:1010024016308

10.1136/bmj.h2750

10.1111/j.1365-2753.2010.01504.x

10.1371/journal.pone.0017419

Campbell DT Stanley JC. Experimental and Quasi-experimental Designs for Research. Boston, MA: Houghton Mifflin, 1963.

Callinan JE Clarke A Doherty K Kelleher C. Legislative smoking bans for reducing secondhand smoke exposure, smoking prevalence and tobacco consumption. Cochrane Database Syst Rev 2010;4.

10.1016/j.jclinepi.2011.02.007

Robinson S Harris H. Smoking and Drinking Among Adults, 2009: A Report on the 2009 General Lifestyle Survey. London: Office for National Statistics, 2009.

10.1016/j.ypmed.2011.09.021

10.1093/ije/dyt092

10.1007/s10654-009-9377-0

10.1016/j.amepre.2007.03.020

10.1016/0378-3758(95)00039-9

Prais SJ Winsten CB. Trend estimators and serial correlation. Cowles Commission discussion paper Stat No. 383, Chicago, 1954.

10.1111/j.1553-2712.1998.tb02493.x