skip to content W3C SVG

Resources

The following esametric resources are ordered alphabetically, stratified by category. Note that some items are listed multiple times.

How to Cite This Page

Please cite this webpage as follows, based on desired style (all taken from scribbr.com except Vancouver, which is taken from proofed.com). Replace “Day Month Year” (e.g., “1 February 2020”) and “Month Day, Year” (e.g., February 1, 2020") as appropriate.

Actigraphy + Accelerometry

Publications

  • Barnett I, Torous J, Staples P, Keshavan M, Onnela JP. Beyond smartphones and sensors: Choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association. 2018 Dec;25(12):1669-74. academic.oup.com/jamia/article/25/12/1669/5110357
  • Catellier DJ, Hannan PJ, Murray DM, Addy CL, Conway TL, Yang S, Rice JC. Imputation of missing data when measuring physical activity by accelerometry. Medicine and science in sports and exercise. 2005 Nov;37(11 Suppl):S555. ncbi.nlm.nih.gov/pmc/articles/PMC2435061
  • Rowe DA, Mahar MT, Raedeke TD, Lore J. Measuring physical activity in children with pedometers: Reliability, reactivity, and replacement of missing data. Pediatric Exercise Science. 2004 Nov 1;16(4):343-54. researchgate.net/profile/David_Rowe/publication/251259986….pdf

Aggregated N-of-1 Analyses

This section covers Aggregated N-of-1, Intensive Longitudinal Data, Meta-analysis, Mixed/Random Effects Models, Multilevel/Hierarchical Models, Multilevel Time Series, Series-of-n-of-1.

Publications

Applications and Empirical Studies

Publications

  • Daza EJ, Wac K, Oppezzo M. Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. Healthcare 2020 Mar (Vol. 8, No. 1, p. 6). Multidisciplinary Digital Publishing Institute. mdpi.com/2227-9032/8/1/6
  • DeLoatche KJ. Parent-child interaction therapy as a treatment for ADHD in early childhood: A multiple baseline single-case design. University of South Florida; 2015. core.ac.uk/download/pdf/71953292.pdf
  • Dickerson E. Computerized Cognitive Remediation Therapy (CCRT): Investigating Change in the Psychosocial and Cognitive Function of Adolescent Psychiatric Patients. Northeastern University; 2016. repository.library.northeastern.edu/files/neu:cj82nb768/fulltext.pdf
  • Matias I, Daza EJ, Wac K. What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data. Digital Health. 2022 Aug 24. journals.sagepub.com/doi/10.1177/20552076221120725

Bayesian Approaches

Publications

  • Batley PN, Hedges LV. Accurate models vs. accurate estimates: A simulation study of Bayesian single-case experimental designs. Behavior Research Methods. 2021 Feb 11:1-7. link.springer.com/article/10.3758/s13428-020-01522-0
  • Colopy GW, Roberts SJ, Clifton DA. Bayesian optimization of personalized models for patient vital-sign monitoring. IEEE journal of biomedical and health informatics. 2017 Dec 19;22(2):301-10. ieeexplore.ieee.org/abstract/document/8226743
  • Colopy GW, Roberts SJ, Clifton DA. Gaussian processes for personalized interpretable volatility metrics in the step-down ward. IEEE journal of biomedical and health informatics. 2019 Jan 22;23(3):949-59. ieeexplore.ieee.org/abstract/document/8621007
  • Lum K, Dunson DB, Johndrow J. Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment. arXiv preprint arXiv:2102.01135. 2021 Feb 1. arxiv.org/abs/2102.01135
  • Natesan P, Hedges LV. Bayesian unknown change-point models to investigate immediacy in single case designs. Psychological Methods. 2017 Dec;22(4):743. psycnet.apa.org/doiLanding?doi=10.1037%2Fmet0000134 (pdf)
  • Natesan Batley P, Shukla Mehta S, Hitchcock JH. A Bayesian rate ratio effect size to quantify intervention effects for count data in single case experimental research. Behavioral Disorders. 2020 Jun 19:0198742920930704. journals.sagepub.com/doi/abs/10.1177/0198742920930704 (pdf)
  • Senarathne SG, Overstall AM, McGree JM. Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects. Statistics in Medicine. 2020 Dec 20;39(29):4499-518. onlinelibrary.wiley.com/doi/abs/10.1002/sim.8737
  • Stunnenberg BC, Woertman W, Raaphorst J, Statland JM, Griggs RC, Timmermans J, Saris CG, Schouwenberg BJ, Groenewoud HM, Stegeman DF, van Engelen BG. Combined N-of-1 trials to investigate mexiletine in non-dystrophic myotonia using a Bayesian approach; study rationale and protocol. BMC neurology. 2015 Dec;15(1):1-0. bmcneurol.biomedcentral.com/articles/10.1186/s12883-015-0294-4
  • Sung L, Tomlinson GA, Greenberg ML, Koren G, Judd P, Ota S, Feldman BM. Serial controlled N-of-1 trials of topical vitamin E as prophylaxis for chemotherapy-induced oral mucositis in paediatric patients. European Journal of Cancer. 2007 May 1;43(8):1269-75. sciencedirect.com/science/article/abs/pii/S0959804907001268
  • Zhu T, Colopy GW, Pugh CW, Clifton DA. Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes. Institute of Electrical and Electronics Engineers. ora.ox.ac.uk/objects/uuid:f9cc27d2-d47a-45f5-8f7a-a3a8f792b303

Causal Inference + Causality

Publications

  • Anjum RL, Copeland S, Rocca E. Rethinking Causality, Complexity and Evidence for the Unique Patient: A CauseHealth Resource for Healthcare Professionals and the Clinical Encounter. Springer Nature. 2020. library.oapen.org/handle/20.500.12657/39574
  • Balandat M. New tools for econometric analysis of high-frequency time series data-application to demand-side management in electricity markets. University of California, Berkeley; 2016. search.proquest.com/openview/17ecbcf034eb521b90b63a6fe9c8a314/1?pq-origsite=gscholar&cbl=18750
  • Bojinov I, Shephard N. Time series experiments and causal estimands: exact randomization tests and trading. Journal of the American Statistical Association. 2019 Oct 2;114(528):1665-82. tandfonline.com/doi/abs/10.1080/01621459.2018.1527225
  • Cook TD, Campbell DT, Shadish W. Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin; 2002. onlinelibrary.wiley.com/doi/10.1002/pam.10129
  • Daza EJ. Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data. arXiv preprint arXiv:1901.03423. 2019 Jan 10. arxiv.org/abs/1901.03423
  • Daza EJ. Causal analysis of self-tracked time series data using a counterfactual framework for N-of-1 trials. Methods of information in medicine. 2018 Feb;57(Suppl 1):e10. thieme-connect.de/products/ejournals/abstract/10.3414/ME16-02-0044
    • LaTeX pre-print (identical content) here
  • Daza EJ, Schneider L. Model-Twin Randomization (MoTR): A Monte Carlo Method for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors. arXiv preprint arXiv:2208.00739. 2022 Aug 2. arxiv.org/abs/2208.00739
  • Langenberg B, Wurpts IC, Geuke GG, Onghena P. Estimating and Testing Causal Mediation Effects in Single-Case Experimental Designs Using State-Space Modeling. Evaluation & the Health Professions. 2022:01632787211067533. journals.sagepub.com/doi/10.1177/01632787211067533
  • Mahoney J. Strategies of causal inference in small-N analysis. Sociological methods & research. 2000 May;28(4):387-424. journals.sagepub.com/doi/abs/10.1177/0049124100028004001
  • Mahoney J. Toward a unified theory of causality. Comparative Political Studies. 2008 Apr;41(4-5):412-36. journals.sagepub.com/doi/abs/10.1177/0010414007313115
  • Malenica I, Bibaut A, van der Laan MJ. Adaptive Sequential Design for a Single Time-Series. arXiv preprint arXiv:2102.00102. 2021 Jan 29. arxiv.org/abs/2102.00102
  • Matias I, Daza EJ, Wac K. What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data. Digital Health. 2022 Aug 24. journals.sagepub.com/doi/10.1177/20552076221120725
  • Neto EC, Bot BM, Perumal T, Omberg L, Guinney J, Kellen M, Klein A, Friend SH, Trister AD. Personalized hypothesis tests for detecting medication response in Parkinson disease patients using iPhone Sensor data. InBiocomputing 2016: Proceedings of the Pacific Symposium 2016 (pp. 273-284). ncbi.nlm.nih.gov/pubmed/26776193
  • Neto EC, Prentice RL, Bot BM, Kellen M, Friend SH, Trister AD, Omberg L, Mangravite L. Towards personalized causal inference of medication response in mobile health: an instrumental variable approach for randomized trials with imperfect compliance. arXiv preprint arXiv:1604.01055. 2016 Apr 4. arxiv.org/abs/1604.01055
  • Neto EC, Tummalacherla M, Mangravite L, Omberg L. Causality-based tests to detect the influence of confounders on mobile health diagnostic applications: a comparison with restricted permutations. arXiv. 2019 Nov:arXiv-1911. arxiv.org/abs/1911.05139
  • Rohlfing I. Case studies and causal inference: An integrative framework. Palgrave Macmillan; 2012 Sep 26. link.springer.com/book/10.1057/9781137271327
  • van der Laan MJ, Malenica I. Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series. arXiv preprint arXiv:1809.00734. 2018 Sep 3. arxiv.org/abs/1809.00734
  • Wu X, Weinberger KR, Wellenius GA, Dominici F, Braun D. Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?. arXiv preprint arXiv:2102.10478. 2021 Feb 20. arxiv.org/abs/2102.10478

Changepoint Approaches

Publications

Clinical Research, Trials, Practice

Publications

  • Coravos A, Doerr M, Goldsack J, Manta C, Shervey M, Woods B, Wood WA. Modernizing and designing evaluation frameworks for connected sensor technologies in medicine. npj Digital Medicine. 2020 Mar 13;3(1):1-0. nature.com/articles/s41746-020-0237-3
  • Marra C, Chen JL, Coravos A, Stern AD. Quantifying the use of connected digital products in clinical research. npj Digital Medicine. 2020 Apr 3;3(1):1-0. nature.com/articles/s41746-020-0259-x

Community

Publications

  • Chen C, Haddad D, Selsky J, Hoffman JE, Kravitz RL, Estrin DE, Sim I. Making sense of mobile health data: an open architecture to improve individual-and population-level health. Journal of medical Internet research. 2012;14(4):e112. jmir.org/2012/4/e112

Connectivity Map

Publications

Digital Phenotyping

Publications

  • Barnett I, Torous J, Staples P, Keshavan M, Onnela JP. Beyond smartphones and sensors: Choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association. 2018 Dec;25(12):1669-74. academic.oup.com/jamia/article/25/12/1669/5110357
  • Onnela JP, Rauch SL. Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology. 2016 Jun;41(7):1691-6. nature.com/articles/npp20167

Dynamic Systems

Publications

Effect Size and Tau-U (from Kendall’s τ)

Publications

Functional Data Analysis

Publications

Generalization

Publications

Longitudinal Analysis

Publications

  • Barnett I, Torous J, Staples P, Keshavan M, Onnela JP. Beyond smartphones and sensors: Choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association. 2018 Dec;25(12):1669-74. academic.oup.com/jamia/article/25/12/1669/5110357
  • Daza EJ. Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data. arXiv preprint arXiv:1901.03423. 2019 Jan 10. arxiv.org/abs/1901.03423
  • Lum K, Dunson DB, Johndrow J. Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment. arXiv preprint arXiv:2102.01135. 2021 Feb 1. arxiv.org/abs/2102.01135
  • Wang E, Cook D, Hyndman RJ. A new tidy data structure to support exploration and modeling of temporal data. Journal of Computational and Graphical Statistics. 2019 Dec 27:1-3. tandfonline.com/doi/abs/10.1080/10618600.2019.1695624

Masked Visual Analysis

Publications

Measurement Error

Publications

Missing Data

Publications

Mobile Devices + Sensors + Wearables

Publications

  • Coravos A, Doerr M, Goldsack J, Manta C, Shervey M, Woods B, Wood WA. Modernizing and designing evaluation frameworks for connected sensor technologies in medicine. npj Digital Medicine. 2020 Mar 13;3(1):1-0. nature.com/articles/s41746-020-0237-3

Mobility

Multiple Baseline Designs

Publications

N-of-1 Trials

Publications

Overviews, Histories, Perspectives, Viewpoints, Systematic Reviews

Publications

  • Barlow DH, Nock MK. Why can’t we be more idiographic in our research?. Perspectives on Psychological Science. 2009 Jan;4(1):19-21. journals.sagepub.com/doi/abs/10.1111/j.1745-6924.2009.01088.x
  • Dallery J, Raiff BR. Optimizing behavioral health interventions with single-case designs: from development to dissemination. Translational behavioral medicine. 2014 Sep 1;4(3):290-303. academic.oup.com/tbm/article-abstract/4/3/290/4561509
  • Duan N, Kravitz RL, Schmid CH. Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research. Journal of clinical epidemiology. 2013 Aug 1;66(8):S21-8. sciencedirect.com/science/article/pii/S089543561300156X
  • Gabler NB, Duan N, Vohra S, Kravitz RL. N-of-1 trials in the medical literature: a systematic review. Medical care. 2011 Aug 1:761-8. jstor.org/stable/23053842
  • Kravitz RL, Duan N, Niedzinski EJ, Hay MC, Subramanian SK, Weisner TS. What Ever Happened to N‐of‐1 Trials? Insiders' Perspectives and a Look to the Future. The Milbank Quarterly. 2008 Dec;86(4):533-55. onlinelibrary.wiley.com/doi/full/10.1111/j.1468-0009.2008.00533.x
  • Lillie EO, Patay B, Diamant J, Issell B, Topol EJ, Schork NJ. The n-of-1 clinical trial: the ultimate strategy for individualizing medicine?. Personalized medicine. 2011 Mar;8(2):161-73. ncbi.nlm.nih.gov/pmc/articles/PMC3118090
  • Nikles J, Daza EJ, McDonald S, Hekler E, Schork NJ (editors). Research Topic: Creating Evidence from Real World Patient Digital Data. Frontiers in Computer Science (Digital Public Health), Frontiers in Psychiatry (Social Psychiatry and Psychiatric Rehabilitation, Public Mental Health), Frontiers in Psychology (Health Psychology, Psychology for Clinical Settings), Frontiers in Digital Health (Connected Health, Personalized Medicine, Health Informatics), Frontiers in Neurology (Neurorehabilitation), Frontiers in Public Health (Public Mental Health, Digital Public Health), Frontiers in Sociology (Public Mental Health). 2020 Feb - 2020 Oct. 13 articles. frontiersin.org/research-topics/10089
  • Nikles J, McDonald S (editors). Special Issue: N-of-1 Trials in Healthcare. Healthcare. 2019 Jul - 2020 Feb. 13 articles. mdpi.com/journal/healthcare/special_issues/N_of_1
  • Ridenour TA, Pineo TZ, Molina MM, Lich KH. Toward rigorous idiographic research in prevention science: Comparison between three analytic strategies for testing preventive intervention in very small samples. Prevention Science. 2013 Jun 1;14(3):267-78. [ncbi.nlm.nih.gov/pmc/articles/PMC3782303/(https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782303/)
  • Schork NJ. Personalized medicine: time for one-person trials. Nature. 2015 Apr;520(7549):609-11. nature.com/news/personalized-medicine-time-for-one-person-trials-1.17411
  • Shaffer JA, Kronish IM, Falzon L, Cheung YK, Davidson KW. N-of-1 randomized intervention trials in health psychology: a systematic review and methodology critique. Annals of Behavioral Medicine. 2018 Sep;52(9):731-42. academic.oup.com/abm/article/52/9/731/4837296
  • Smith JD. Single-case experimental designs: a systematic review of published research and current standards. Psychological methods. 2012 Dec;17(4):510. ncbi.nlm.nih.gov/pmc/articles/PMC3652808
  • Vlaeyen JW, Wicksell RK, Simons LE, Gentili C, De TK, Tate RL, Vohra S, Punja S, Linton SJ, Sniehotta FF, Onghena P. From Boulder to Stockholm in 70 Years: Single Case Experimental Designs in Clinical Research. The Psychological Record. 2020 Dec;70:659-70. link.springer.com/article/10.1007/s40732-020-00402-5

Randomization Tests

Publications

Repeated Measures + Individual Heterogeneity

Publications

  • Lum K, Dunson DB, Johndrow J. Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment. arXiv preprint arXiv:2102.01135. 2021 Feb 1. arxiv.org/abs/2102.01135
  • Araujo A, Julious S, Senn S. Understanding variation in sets of N-of-1 trials. PLoS One. 2016;11(12). ncbi.nlm.nih.gov/pmc/articles/PMC5131970
  • Shaffer JA, Kronish IM, Falzon L, Cheung YK, Davidson KW. N-of-1 randomized intervention trials in health psychology: a systematic review and methodology critique. Annals of Behavioral Medicine. 2018 Sep;52(9):731-42. academic.oup.com/abm/article/52/9/731/4837296

Sample Size + Statistical Power

Publications

  • Blackston JW, Chapple AG, McGree JM, McDonald S, Nikles J. Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies. Healthcare 2019 Dec (Vol. 7, No. 4, p. 137). Multidisciplinary Digital Publishing Institute. mdpi.com/2227-9032/7/4/137
  • Bouwmeester S, and Jongerling J. Power of a randomization test in a single case multiple baseline AB design. PLOS ONE. 2020 Feb 6;15(2):e0228355. journals.plos.org/plosone/article?id=10.1371/journal.pone.0228355
  • Ferron J, Onghena P. The power of randomization tests for single-case phase designs. The Journal of Experimental Education. 1996 Apr 1;64(3):231-9. tandfonline.com/doi/abs/10.1080/00220973.1996.9943805
  • Hedges, LV, Shadish, WR & Natesan Batley, P. Power analysis for single-case designs: Computations for (AB)k designs. Behav Res (2022). doi.org/10.3758/s13428-022-01971-9
  • Percha B, Baskerville EB, Johnson M, Dudley JT, Zimmerman N. Designing Robust N-of-1 studies for precision medicine: Simulation study and design recommendations. Journal of Medical Internet Research. 2019;21(4):e12641. jmir.org/2019/4/e12641/
  • Senn S. Sample size considerations for n-of-1 trials. Statistical methods in medical research. 2019 Feb;28(2):372-83. journals.sagepub.com/doi/abs/10.1177/0962280217726801
  • Wang Y, Schork NJ. Power and Design Issues in Crossover-Based N-Of-1 Clinical Trials with Fixed Data Collection Periods. Healthcare 2019 Sep (Vol. 7, No. 3, p. 84). Multidisciplinary Digital Publishing Institute. mdpi.com/2227-9032/7/3/84

Single-Case Experimental Designs (SCEDs) + Single-Subject Research/Designs

Publications

Small Data

Software Tools

Publications

  • Bulté I, Onghena P. The single-case data analysis package: Analysing single-case experiments with R software. Journal of Modern Applied Statistical Methods. 2013;12(2):28. digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1796&context=jmasm
  • Declercq L, Cools W, Beretvas SN, Moeyaert M, Ferron JM, Van den Noortgate W. MultiSCED: A tool for (meta-) analyzing single-case experimental data with multilevel modeling. Behavior research methods. 2020 Feb;52(1):177-92. link.springer.com/article/10.3758/s13428-019-01216-2
  • Konigorski S, Wernicke S, Slosarek T, Zenner AM, Strelow N, Ruether FD, Henschel F, Manaswini M, Pottbäcker F, Edelman JA, Owoyele B. StudyU: a platform for designing and conducting innovative digital N-of-1 trials. arXiv preprint arXiv:2012.14201. 2020 Dec 28. arxiv.org/abs/2012.14201
  • Manolov R, Moeyaert M. How can single-case data be analyzed? Software resources, tutorial, and reflections on analysis. Behavior Modification. 2017 Mar;41(2):179-228. journals.sagepub.com/doi/abs/10.1177/0145445516664307
  • Moeyaert M, Bursali S, Ferron JM. SCD‐MVA: A mobile application for conducting single‐case experimental design research during the pandemic. Human Behavior and Emerging Technologies. 2021 Jan;3(1):75-96. onlinelibrary.wiley.com/doi/full/10.1002/hbe2.223
  • Wang E, Cook D, Hyndman RJ. A new tidy data structure to support exploration and modeling of temporal data. Journal of Computational and Graphical Statistics. 2019 Dec 27:1-3. tandfonline.com/doi/abs/10.1080/10618600.2019.1695624

Special Issues + Collections

Publications

  • Davidson K, Cheung K, Friel C, Suls J. Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker ‘N-of-1’Trial. hdsr.mitpress.mit.edu/specialissue3 + hdsr.mitpress.mit.edu/pub/pv2y77y3/release/1?readingCollection=c31cf5ee
  • Nikles J, McDonald S (editors). Special Issue: N-of-1 Trials in Healthcare. Healthcare. 2019 Jul - 2020 Feb. 13 articles. mdpi.com/journal/healthcare/special_issues/N_of_1
  • Nikles J, Daza EJ, McDonald S, Hekler E, Schork NJ (editors). Research Topic: Creating Evidence from Real World Patient Digital Data. Frontiers in Computer Science (Digital Public Health), Frontiers in Psychiatry (Social Psychiatry and Psychiatric Rehabilitation, Public Mental Health), Frontiers in Psychology (Health Psychology, Psychology for Clinical Settings), Frontiers in Digital Health (Connected Health, Personalized Medicine, Health Informatics), Frontiers in Neurology (Neurorehabilitation), Frontiers in Public Health (Public Mental Health, Digital Public Health), Frontiers in Sociology (Public Mental Health). 2020 Feb - 2020 Oct. 13 articles. frontiersin.org/research-topics/10089

Study Design, Analysis, Reporting

Publications

Time Series

Publications

  • Beltz AM, Wright AG, Sprague BN, Molenaar PC. Bridging the nomothetic and idiographic approaches to the analysis of clinical data. Assessment. 2016 Aug;23(4):447-58. journals.sagepub.com/doi/abs/10.1177/1073191116648209
  • Bojinov I, Shephard N. Time series experiments and causal estimands: exact randomization tests and trading. Journal of the American Statistical Association. 2019 Oct 2;114(528):1665-82. tandfonline.com/doi/abs/10.1080/01621459.2018.1527225
  • Daza EJ. Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data. arXiv preprint arXiv:1901.03423. 2019 Jan 10. arxiv.org/abs/1901.03423
  • Daza EJ. Causal analysis of self-tracked time series data using a counterfactual framework for n-of-1 trials. Methods of Information in Medicine. 2018 Feb;57(01):e10-21. thieme-connect.de/products/ejournals/abstract/10.3414/ME16-02-0044
    • LaTeX version (identical content with cleanly formatted notation) here
  • Daza EJ, Schneider L. Model-Twin Randomization (MoTR): A Monte Carlo Method for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors. arXiv preprint arXiv:2208.00739. 2022 Aug 2. arxiv.org/abs/2208.00739
  • Goldstein H, Healy MJ, Rasbash J. Multilevel time series models with applications to repeated measures data. Statistics in medicine. 1994 Aug 30;13(16):1643-55. onlinelibrary.wiley.com/doi/abs/10.1002/sim.4780131605
  • Golino H, Christensen AP, Nesselroade JR. Towards a psychology of individuals: the ergodicity information index and a bottom-up approach for finding generalizations 2022. doi:10.31234/osf.io/th6rm. psyarxiv.com/th6rm
  • Hyndman RJ, Athanasopoulos G, Shang HL. hts: An R Package for Forecasting Hierarchical or Grouped Time Series. R Package 2015. cran.r-project.org/web/packages/hts/vignettes/hts.pdf
  • Malenica I, Bibaut A, van der Laan MJ. Adaptive Sequential Design for a Single Time-Series. arXiv preprint arXiv:2102.00102. 2021 Jan 29. arxiv.org/abs/2102.00102
  • Molenaar PC, Valsiner J. How generalization works through the single case: A simple idiographic process analysis of an individual psychotherapy. YIS: Yearbook of idiographic science. 2009;1:23-38. researchgate.net/profile/Sergio_Salvatore/publication/235762368_….pdf#page=23
  • Neto EC, Bot BM, Perumal T, Omberg L, Guinney J, Kellen M, Klein A, Friend SH, Trister AD. Personalized hypothesis tests for detecting medication response in Parkinson disease patients using iPhone Sensor data. InBiocomputing 2016: Proceedings of the Pacific Symposium 2016 (pp. 273-284). ncbi.nlm.nih.gov/pubmed/26776193
  • Neto EC, Prentice RL, Bot BM, Kellen M, Friend SH, Trister AD, Omberg L, Mangravite L. Towards personalized causal inference of medication response in mobile health: an instrumental variable approach for randomized trials with imperfect compliance. arXiv preprint arXiv:1604.01055. 2016 Apr 4. arxiv.org/abs/1604.01055
  • van der Laan MJ, Malenica I. Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series. arXiv preprint arXiv:1809.00734. 2018 Sep 3. arxiv.org/abs/1809.00734
  • Vieira R, McDonald S, Araújo-Soares V, Sniehotta FF, Henderson R. Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies. Health Psychology Review. 2017 Jul 3;11(3):222-34. tandfonline.com/doi/full/10.1080/17437199.2017.1343680
  • Wang E, Cook D, Hyndman RJ. A new tidy data structure to support exploration and modeling of temporal data. Journal of Computational and Graphical Statistics. 2019 Dec 27:1-3. tandfonline.com/doi/abs/10.1080/10618600.2019.1695624
  • Wu X, Weinberger KR, Wellenius GA, Dominici F, Braun D. Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?. arXiv preprint arXiv:2102.10478. 2021 Feb 20. arxiv.org/abs/2102.10478

Tutorials

Publications

Visualization

Publications