This database provides access to statistical methods materials on the topic of causal inference and longitudinal modelling of particular relevance to life-course epidemiology. It is fed by members of the LifeCycle project as they come along with materials of interest, with a focus on applied methods and educational papers. Many references are accessible to non-specialists.

Title Domain Authors Year Reference Link Method Type Keywords Comment Lifecycle Tutorial false
Causal Inference Josey KP, Yang F, Ghosh D, Raghavan S 2020 arXiv:2008.06615v1 [stat.ME] Original research Transportability; observational studies; generalizability; external validity; confounding; sampling weights; calibration; data-fusion Not peer-reviewed No Show
Longitudinal modelling Tu YK, Tilling K, Sterne JA, Gilthorpe MS 2013 Tu YK, Tilling K, Sterne JA, Gilthorpe MS. A critical evaluation of statistical approaches to examining the role of growth trajectories in the developmental origins of health and disease. Int J Epidemiol. 2013 Oct;42(5):1327-39. doi: 10.1093/ije/dyt157. educational, applied methods Developmental origins of health and disease; birthweight; body weight; cohort studies; growth. No Show
Causal Inference and longitudinal modelling Keogh RH, Daniel RM, VanderWeele TJ, Vansteelandt S 2018 Am J Epidemiol. 2018 May 1;187(5):1085-1092. Educational direct effect, indirect effect, inverse probability weight, longitudinal study, marginal structural model, sequential conditional mean model, time-varying confounder, total effect No Show
Causal Inference Naimi AI, Cole SR, Kennedy EH 2017 Int J Epidemiol. 2017 Apr 1;46(2):756-762. Educational G Methods; Marginal Structural Model; Structural Nested Model; G Formula; Inverse Probability Weighting; G Estimation; Monte Carlo Estimation No Show
Causal Inference Greenland S 2000 Int J Epidemiol. 2000 Aug;29(4):722-9. doi: 10.1093/ije/29.4.722 Educational Biometry, causal models, compliance, confounding, econometrics, epidemiological methods, instrumental variables, measurement error, misclassification, regression, regression calibration Two errata were published:; No Show
Causal Inference Zugna D, Popovic M, Fasanelli F, Heude B, Scelo G, Richiardi L 2021 Zugna D, Popovic M, Fasanelli F, Heude B, Scelo G, Richiardi L. Applied causal inference methods for sequential mediators. BMC Med Res Methodol. 2022 Nov 24;22(1):301. doi: 10.1186/s12874-022-01764-w. PMID: 36424556. tutorial mediation analysis, sequential mediators, dierct and indirect effects, weighting, imputation Yes Show
Causal Inference Lange T, Hansen KW, Sørensen R, Galatius S 2017 Epidemiol Health. 2017 Aug 6;39:e2017035. Tutorial Mediation analysis, Causal inference, Pathway analysis, Acute coronary syndrome, Randomized clinical trials No Show
Exposome and omics Santos S, Maitre L, Warembourg C, Agier L, Richiardi L,  Basagaña  X, Vrijheid M. 2020 Eur J Epidemiol. 2020 Mar;35(3):193-204. Educational birth cohort studies, exposure approaches, correlation, dimensionality, variability Yes Show
Causal Inference Bellavia A, James-Todd T, Williams PL 2019 Environ Int. 2019 Feb;123:368-374. doi: 10.1016/j.envint.2018.12.024 Review Environmental mixtures; Environmental epidemiology; Mediation analysis No Show
Causal Inference Jacob R, Zhu P 2012 Web site: Educational Regression discontinuity approach, internal validity, generalizability No Show
Causal Inference Cattaneo MD, Idrobo N, Titiunik R 2019 arXiv:1911.09511v1. doi: 10.1017/9781108684606 Tutorial Regression discontinuity; Econometrics; Computation No Show
Causal Inference Attia J, Holliday E, Oldmeadow C. 2022 Attia J, Holliday E, Oldmeadow C. A proposal for capturing interaction and effect modification using DAGs. Int J Epidemiol. 2022 Aug 10;51(4):1047-1053. Opinion interaction, effect modification, confounding, DAGs Erratum in Correction to: A proposal for capturing interaction and effect modification using DAGs. Attia J, Holliday E, Oldmeadow C. Int J Epidemiol. 2022 Jul 20:dyac153. No Show
Causal Inference Degtiar I, Rose S 2021 arXiv:2102.11904v1 [stat.ME] for this version,generalize%20is%20a%20critical%20decision.&text=Estimates%20from%20randomized%20data%20may,representative%20of%20the%20target%20population. Educational paper external validity; transportability; generalizability Not peer-reviewed No Show
Causal Inference Shi X, Miao W, Tchetgen ET 2020 Curr Epidemiol Rep. 2020 Dec;7(4):190-202. doi: 10.1007/s40471-020-00243-4 Review Bias correction; Bias detection; Bias reduction; Negative control; Unmeasured confounding No Show
Causal Inference Sommer AJ, Leray E, Lee Y, Bind MC 2021 Stat Med 2021 Mar 15;40(6):1321-1335. doi: 10.1002/sim.8843 Applied methods Causal inference; environmental epidemiology; matching; multiple sclerosis; observational data No Show
Causal Inference Lange T, Rasmussen M, Thygesen LC 2014 Am J Epidemiol. 2014 Feb 15;179(4):513-518. Educational causal inference, mediation, multiple mediators No Show
Causal Inference Lawlor DA, Lichtenstein P, Långström N. 2011 Circulation. 2011 Jan 25;123(3):258-265. doi: 10.1161/CIRCULATIONAHA.110.980169 Applied methods within sibship, developmental origins, causal inference No Show
Causal Inference Santos Ferreira DL, Williams DM, Kangas AJ, Soininen P, Ala-Korpela M, Davey Smith G, Jarvelin M-R, Lawlor DA 2017 PLoS Med. 2017 Aug 22;14(8):e1002376. doi: 10.1371/journal.pmed.1002376 Applied methods Negative control, metabolomics, developmental origins, parental comparisons No Show
Longitudinal modelling Smith ADAC, Hardy R, Heron J, Lawlor DA, Joinson CJ, Macdonald-Wallis C, Tilling K 2016 Int J Epidemiol. 2016 Aug;45(4):1271-1279. doi:10.1093/ije/dyw164 Applied methods Lifecourse models, repeat measures, continuous data No Show
Causal Inference Richiardi L, Pearce N, Pagano E, Di Cuonzo D, Zugna D, Pizzi C 2019 J Epidemiol Community Health. 2019 May;73(5):475-480. Research article bias; cohort studies; collider bias; representativeness; selection No Show
Causal Inference Haycock PC, Burgess S, Wade KH, Bowden J, Relton C, Davey Smith G 2016 Am J Clin Nutr. 2016 Apr;103(4):965-978. Educational Mendelian randomization, practice of MR, writing MR papers, assumptions of MR No Show
Causal Inference Sjölander A, Frisell T, Kuja-Halkola R, Öberg S, Zetterqvist J 2016 Epidemiology. 2016 Nov;27(6):852-858. doi: 10.1097/EDE.0000000000000541 Educational Siblings design; bias; carryover effect; causal diagrams; confounding No Show
Causal Inference Bareinboim E, Pearl J 2016 Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7345-7352. Research article generalizability, transportability, selection bias, confounding The paper provides a theoretical background; no codes are available for implementation No Show
Causal Inference Pearl J, Glymour M, Jewell NP 2016 Wiley 2016. 156 pages. ISBN: 978-1-119-18684-7 Textbook DAGs, Causal Inference, Counterfactuals No Show
Causal Inference Pearce N, Lawlor DA. 2017 Int J Epidemiol. 2016 Dec 1;45(6):1895-1903. doi: 10.1093/ije/dyw328 Educational DAGs, Causal inference, Collider Bias No Show