References
Angrist, Joshua D., and Jorn-Steffen Pischke. 2009. Mostly
Harmless Econometrics: An Empiricist’s
Companion. Princeton University Press. https://doi.org/10.2307/j.ctvcm4j72.
Angrist, Joshua D., and Jörn-Steffen Pischke. 2015. “Mastering
’Metrics: The Path from Cause to
Effect.” 2015. https://press.princeton.edu/books/paperback/9780691152844/mastering-metrics.
Ankan, Ankur, Inge M. N. Wortel, and Johannes Textor. 2021.
“Testing Graphical Causal Models Using the R
Package ‘Dagitty’.” Current
Protocols 1 (2): e45. https://doi.org/10.1002/cpz1.45.
Begg, Colin, Mildred Cho, Susan Eastwood, Richard Horton, David Moher,
Ingram Olkin, Roy Pitkin, et al. 1996. “Improving the
Quality of Reporting of Randomized
Controlled Trials: The CONSORT Statement.”
JAMA 276 (8): 637–39. https://doi.org/10.1001/jama.1996.03540080059030.
Bothwell, Laura E., Jerry Avorn, Nazleen F. Khan, and Aaron S.
Kesselheim. 2018. “Adaptive Design Clinical Trials: A Review of
the Literature and ClinicalTrials.gov.” BMJ
Open 8 (2): e018320. https://doi.org/10.1136/bmjopen-2017-018320.
Chan, An-Wen, Jennifer M. Tetzlaff, Douglas G. Altman, Andreas Laupacis,
Peter C. Gøtzsche, Karmela Krleža-Jerić, Asbjørn Hróbjartsson, et al.
2013. “SPIRIT 2013 Statement:
Defining Standard Protocol Items for Clinical
Trials.” Annals of Internal Medicine 158 (3):
200–207. https://doi.org/10.7326/0003-4819-158-3-201302050-00583.
Chan, An-Wen, Jennifer M. Tetzlaff, Peter C. Gøtzsche, Douglas G.
Altman, Howard Mann, Jesse A. Berlin, Kay Dickersin, et al. 2013.
“SPIRIT 2013 Explanation and Elaboration: Guidance
for Protocols of Clinical Trials.” BMJ 346 (January):
e7586. https://doi.org/10.1136/bmj.e7586.
Cunningham, Scott. 2021. Causal Inference: The
Mixtape. Yale University Press. https://doi.org/10.2307/j.ctv1c29t27.
———. 2025. “Mixtape Sessions
(Github).” 2025. https://github.com/Mixtape-Sessions.
Digitale, Jean C., Jeffrey N. Martin, and Medellena Maria Glymour. 2022.
“Tutorial on Directed Acyclic Graphs.” Journal of
Clinical Epidemiology 142 (February): 264–67. https://doi.org/10.1016/j.jclinepi.2021.08.001.
Fisher, R A, and F Yates. 1990. Statistical Methods,
Experimental Design, and Scientific Inference:
A Re-issue of Statistical
Methods for Research Workers, the
Design of Experiments and Statistical
Methods and Scientific Inference. Edited by J H
Bennett. Oxford University Press. https://doi.org/10.1093/oso/9780198522294.001.0001.
Fisher, Ronald A. 1925. “Statistical Methods for
Research Workers (Scan of 1st
Edition).” Classics in the History of Psychology.
1925. https://psychclassics.yorku.ca/Fisher/Methods/.
Greenland, Sander, Judea Pearl, and James M. Robins. 1999. “Causal
Diagrams for Epidemiologic Research.”
Epidemiology 10 (1): 37. https://journals.lww.com/epidem/abstract/1999/01000/causal_diagrams_for_epidemiologic_research.8.aspx?casa_token=t1bYrLdrL5EAAAAA:jek7bcCsZNWdAWZSBuH4WUKpadC7BXnvKae9-OTeDK57f6KworoLmwgGS6PNX3AQRq8JEB4WL12pwWt-l9cMm5g_JwByHr78.
Hemming, K., T. P. Haines, P. J. Chilton, A. J. Girling, and R. J.
Lilford. 2015. “The Stepped Wedge Cluster Randomised Trial:
Rationale, Design, Analysis, and Reporting.” BMJ 350
(February): h391. https://doi.org/10.1136/bmj.h391.
Hernán, Miguel. 2017. “Causal Diagrams: Draw
Your Assumptions Before Your Conclusions (Online
Course).” Harvard University. August 16, 2017. https://pll.harvard.edu/course/causal-diagrams-draw-your-assumptions-your-conclusions.
Hernán, Miguel A., and James M. Robins. 2016. “Using Big
Data to Emulate a Target Trial When a
Randomized Trial Is Not Available.” American
Journal of Epidemiology 183 (8): 758–64. https://doi.org/10.1093/aje/kwv254.
———. 2025. Causal Inference: What If.
Boca Raton: Chapman & Hall/CRC. https://miguelhernan.org/whatifbook.
Hill, Austin Bradford. 1965. “The Environment and
Disease: Association or
Causation?” Proceedings of the Royal Society of
Medicine 58 (5): 295–300. https://doi.org/10.1177/003591576505800503.
HM Treasury. 2020. Magenta Book: Central
Government Guidance on Evaluation. United Kingdom: HM
Treasury. https://assets.publishing.service.gov.uk/media/5e96cab9d3bf7f412b2264b1/HMT_Magenta_Book.pdf.
Holland, Paul W., Clark Glymour, and Clive Granger. 1985.
“Statistics and Causal Inference.” ETS
Research Report Series 1985 (2): i–72. https://doi.org/10.1002/j.2330-8516.1985.tb00125.x.
Hussey, Michael A., and James P. Hughes. 2007. “Design and
Analysis of Stepped Wedge Cluster Randomized Trials.”
Contemporary Clinical Trials 28 (2): 182–91. https://doi.org/10.1016/j.cct.2006.05.007.
Igelström, Erik, Peter Craig, Jim Lewsey, John Lynch, Anna Pearce, and
Srinivasa Vittal Katikireddi. 2022. “Causal Inference and Effect
Estimation Using Observational Data.” J Epidemiol Community
Health 76 (11): 960–66. https://doi.org/10.1136/jech-2022-219267.
Imbens, Guido W. 2020. “Potential Outcome and
Directed Acyclic Graph Approaches to
Causality: Relevance for Empirical
Practice in Economics.” Journal of
Economic Literature 58 (4): 1129–79. https://doi.org/10.1257/jel.20191597.
Imbens, Guido W., and Donald B. Rubin. 2015. Causal
Inference for Statistics, Social,
and Biomedical Sciences: An Introduction.
Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139025751.
Jennison, Christopher, and Bruce W. Turnbull. 1999. Group
Sequential Methods with Applications to
Clinical Trials. New York: Chapman and
Hall/CRC. https://doi.org/10.1201/9780367805326.
Kidwell, Kelley M., and Daniel Almirall. 2023. “Sequential,
Multiple Assignment, Randomized Trial
Designs.” JAMA 329 (4): 336–37. https://doi.org/10.1001/jama.2022.24324.
Lau, Wallis C. Y., Carmen Olga Torre, Kenneth K. C. Man, Henry Morgan
Stewart, Sarah Seager, Mui Van Zandt, Christian Reich, et al. 2022.
“Comparative Effectiveness and Safety Between
Apixaban, Dabigatran, Edoxaban, and
Rivaroxaban Among Patients With Atrial
Fibrillation.” Annals of Internal Medicine 175
(11): 1515–24. https://doi.org/10.7326/M22-0511.
Markozannes, Georgios, Georgia Vourli, and Evangelia Ntzani. 2021.
“A Survey of Methodologies on Causal Inference Methods in
Meta-Analyses of Randomized Controlled Trials.” Systematic
Reviews 10 (1): 170. https://doi.org/10.1186/s13643-021-01726-1.
Mill, John Stuart. 1843. A System of
Logic, Ratiocinative and
Inductive: Being a Connected View
of the Principles of Evidence, and the
Methods of Scientific Investigation. Vol.
1. Cambridge Library Collection - Philosophy.
Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139149839.
Morgan, Stephen L., and Christopher Winship. 2014. Counterfactuals
and Causal Inference: Methods and
Principles for Social Research. 2nd ed.
Analytical Methods for Social Research.
Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781107587991.
Neal, Brady. 2019. “Which Causal Inference Book You Should
Read.” November 23, 2019. https://www.bradyneal.com/which-causal-inference-book.
NICE. 2012. “Appendix E Algorithm for Classifying
Quantitative (Experimental and Observational) Study Designs |
Methods for the Development of NICE Public
Health Guidance (Third Edition).” NICE. September 26, 2012. https://www.nice.org.uk/process/pmg4/chapter/appendix-e-algorithm-for-classifying-quantitative-experimental-and-observational-study-designs.
OHID. 2021a. “Guidance: Choose Evaluation Methods:
Evaluating Digital Health Products.” GOV.UK. May 19, 2021. https://www.gov.uk/guidance/choose-evaluation-methods-evaluating-digital-health-products.
———. 2021b. “Guidance: Quasi-experimental Study: Comparative
Studies.” GOV.UK. September 8, 2021. https://www.gov.uk/guidance/quasi-experimental-study-comparative-studies.
Park, Jay J. H., Ellie Siden, Michael J. Zoratti, Louis Dron, Ofir
Harari, Joel Singer, Richard T. Lester, Kristian Thorlund, and Edward J.
Mills. 2019. “Systematic Review of Basket Trials, Umbrella Trials,
and Platform Trials: A Landscape Analysis of Master Protocols.”
Trials 20 (1): 572. https://doi.org/10.1186/s13063-019-3664-1.
Pearl, Judea. 1995. “Causal Diagrams for Empirical
Research.” Biometrika 82 (4): 669–88. https://doi.org/10.1093/biomet/82.4.669.
———. 2009. Causality: Models, Reasoning,
and Inference. 2nd ed. Cambridge: Cambridge University
Press. https://doi.org/10.1017/CBO9780511803161.
Pearl, Judea, Madelyn Glymour, and Nicholas P. Jewell. 2016. Causal
Inference in Statistics: A
Primer. Wiley. https://www.wiley.com/en-us/Causal+Inference+in+Statistics%3A+A+Primer-p-9781119186861.
Pearl, Judea, and Dana Mackenzie. 2018. “The Book of
Why: The New Science of Cause and
Effect.” Guide books. 2018. https://dl.acm.org/doi/book/10.5555/3238230.
Piantadosi, Steven, and Curtis L. Meinert, eds. 2022. Principles and
Practice of Clinical Trials. Cham:
Springer International Publishing. https://doi.org/10.1007/978-3-319-52636-2_196.
Pocock, Stuart J. 2013. Clinical Trials: A
Practical Approach. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118793916.fmatter.
Rosenbaum, Paul R. 2017. Observation and Experiment:
An Introduction to Causal Inference.
Harvard University Press. https://www.jstor.org/stable/j.ctv253f7k2.
———. 2020. Design of Observational Studies.
Springer Series in Statistics. Cham: Springer
International Publishing. https://doi.org/10.1007/978-3-030-46405-9.
———. 2023. Causal Inference. The MIT Press. https://doi.org/10.7551/mitpress/14244.001.0001.
Royston, Patrick, Friederike M-S Barthel, Mahesh KB Parmar, Babak
Choodari-Oskooei, and Valerie Isham. 2011. “Designs for Clinical
Trials with Time-to-Event Outcomes Based on Stopping Guidelines for Lack
of Benefit.” Trials 12 (1): 81. https://doi.org/10.1186/1745-6215-12-81.
Rubin, Donald B. 1974. “Estimating Causal Effects of Treatments in
Randomized and Nonrandomized Studies.” Journal of Educational
Psychology 66 (5): 688–701. https://doi.org/10.1037/h0037350.
———. 1986. “Statistics and Causal Inference:
Comment: Which Ifs Have Causal
Answers.” Journal of the American Statistical
Association 81 (396): 961–62. https://doi.org/10.2307/2289065.
Schiff, A, L Wright, and T Denne. 2017. “Ex-Post Evaluation of
Transport Interventions Using Causal Inference Methods.” NZ
Transport Agency Waka Kotahi. https://nzta.govt.nz/resources/research/reports/630/.
Shadish, William R., Thomas D. Cook, and Donald T. Campbell. 2002.
Experimental and Quasi-Experimental Designs for Generalized Causal
Inference. Experimental and Quasi-Experimental Designs for
Generalized Causal Inference. Boston, MA, US: Houghton, Mifflin
and Company.
Splawa-Neyman, Jerzy, D. M. Dabrowska, and T. P. Speed. 1990. “On
the Application of Probability Theory to
Agricultural Experiments. Essay on
Principles. Section 9.” Statistical
Science 5 (4): 465–72. https://doi.org/10.1214/ss/1177012031.
Van Der Laan, Mark J., and Sherri Rose. 2011. Targeted
Learning: Causal Inference for
Observational and Experimental Data.
Springer Series in Statistics. New York, NY:
Springer. https://doi.org/10.1007/978-1-4419-9782-1.
———. 2018. Targeted Learning in Data
Science: Causal Inference for Complex
Longitudinal Studies. Springer Series in
Statistics. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-65304-4.
Vanderweele, Tyler J. 2015. Explanation in Causal Inference:
Methods for Mediation and Interaction. Explanation in
Causal Inference: Methods for Mediation and Interaction.
New York, NY, US: Oxford University Press.
Vigen, Tyler. 2024. “Tyler Vigen Spurious Correlation
#1,172: Butter Consumption Correlates with
Economic Output of Washington Metro
Area.” TylerVigen.com. January 2024. https://tylervigen.com/spurious/correlation/1172_butter-consumption_correlates-with_economic-output-of-washington-metro-area.
Wang, Duolao, and Ameet Bakhai. 2006. Clinical Trials:
A Practical Guide to Design,
Analysis, and Reporting. Remedica.
Wason, James M. S., and Thomas Jaki. 2012. “Optimal Design of
Multi-Arm Multi-Stage Trials.” Statistics in Medicine 31
(30): 4269–79. https://doi.org/10.1002/sim.5513.
Wason, James, Dominic Magirr, Martin Law, and Thomas Jaki. 2012.
“Some Recommendations for Multi-Arm Multi-Stage Trials.”
Statistical Methods in Medical Research, December. https://doi.org/10.1177/0962280212465498.