Publications

2022

• Jackson, C., Baio, G., Heath, A., Strong, M., Welton, N., Wilson, E. (2022). Value of Information Analysis in Models to inform Health policy. Annual Review of Statistics and Its Application. 9(1): 95-118.
• Heath, A., Pechlivanoglou, P. (2022). Prioritising Research in an Era of Personalised Medicine: The Potential Value of Unexplained Heterogeneity. Medical Decision Making. 42(5).
• Flores Pimentel, M; Heath, A; Wan, M; Hussein, R; Leahy, K; MacDonald, H; Tavares, E: VandenHoven, C; MacNeill, K; Kannu, P; Parkin, PC; Heon, E; Reginald, A; Vincent, A. (2022). Prevalence of Choroidal Abnormalities and Lisch Nodules in Children Meeting Clinical and Molecular Diagnosis of Neurofibromatosis Type 1. Translational vision science & technology. 11(1): 10.
• Remiro-Azocar, A; Heath, A; Baio, G. (2022). Effect modification in anchored indirect treatment comparisons: Comments on “Matching-adjusted indirect comparisons: Application to time-to-event data”. Statistics in Medicine. 13:716-744.
• Remiro-Azocar, A; Heath, A; Baio, G. (2022). Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data. Research Synthesis Methods.
• Coon, E., Bonafide, C., Eyal, E., Heath, A., McDaniel, C., Schroeder, A., Kaiser, S. (2022). HEROIC trials to answer pragmatic questions for hospitalized children. Hospital Pediatrics. 12(9): e312-e318.
• Jay J. H. Park; Behnam Sharif; Ofir Harari; Louis Dron; Anna Heath; Maureen Meade; Ryan Zarychanski; Raymond Lee; Gabriel Tremblay; Edward J. Mills; Yannis Jemiai; Cyrus Mehta; J. Kyle Wathen. (2022). Economic Evaluation of Cost and Time Required for a Platform Trialvs Conventional Trials. JAMA Network Open. 5(7): e2221140.

2021

• Poonai, N., Coriolano, K., Klassen, T., Heath, A., Yaskina, M., Beer, D., Sawyer, S., Bhatt, M., Kam, A., Doah, Q., Sabhaney, V., Offringa, M., Pechlivanoglou, P., Hickes, S., and Ali, S., on behalf of the KidsCAN PERC iPCT-SPOR (Innovative Paediatric Clinical Trials – Strategy for Patient Oriented Research) Ketodex Study Team. (2021) Study protocol for intranasal dexmedetomidine plus ketamine for procedural sedation in children: an adaptive randomized controlled non-inferiority multicenter trial (Ketodex). BMJ Open. 10(12): e041319 – e041319.
• Heath, A. (2021) Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation. Medical Decision Making.
• Heath, A., Rios, D., Pullenayegum, E., Pechlivanoglou, P., Offringa, M., Yaskina, M., Watts, R., Riimmer, S., Klassen, T., De Silva, K., Poonai, N. on behalf of the PERC-KIDSCAN Ketodex Study Group. (2021) The intranasal dexmedetomidine plus ketamine for procedural sedation in children study (the Ketodex trial): Statistical Analysis Plan. Trials. 22(1): 15-15.
• Ali, S., Hopkin, G., Poonai, N., Richer, L., Yaskina, M., Heath, A., Klassen T., McCabe, C., KidsCAN PERC Innovative Pediatric Clinical Trials; KidsCAN PERC Innovative Pediatric Clinical Trials Methods Core. (2021) A Novel Preference-Informed Complementary Trials (PICT) Design for Clinical Trial Research Influenced by Strong Patient Preferences. Trails.
• A Heath, M Strong, D Glynn, N Kunst, N J Welton, J D Goldhaber-Fiebert. Simulating Study Data to Support Expected Value of Sample Information Calculations: A Tutorial. Medical Decision Making.
• Heath, A., Hunink, M., Krijkamp, E., Pechlivanoglou, P. (2021) Prioritisation and design of clinical trials. European Journal of Epidemiology. 36: 1111–1121.
• Remiro Azocar, A., Heath, A., Baio, G. (2021). Methods for Population Adjustment with Limited Access to Individual Patient Data: A Simulation Study. Research Synthesis Methods.
• Daniel, A., Bwanali, M., Tenthani, J., Gladstone, M., Voskuijl, W., Potani, I., Ziwoya F., Chidzalo, K., Mbale, E., Heath, A., Bourdon, C., Njirammadzi, J., Heuvel, M., Bandsma, R. (2021) A mixed methods cluster-randomized controlled trial of a hospital-based psychosocial stimulation and counseling program for caregivers and children with severe acute malnutrition. Current Developments in Nutrition. 5(8): nzab100- nzab100.
• Aregbesola, A., Gates, A., Coyle, A., Sim, S., Vandermeer, B., Skakum, M., Contopoulos-Ioannidis, D., Heath, A., Hartling, L., Klassen, T. (2021) P-value and Bayesian analysis in randomized-controlled trials in child health research published over ten years, 2007 to 2017: a methodological review protocol. Systematic Reviews. 10: 71.
• Remiro-Azócar, A., Heath, A., Baio, G. (2021) Conflating marginal and conditional treatment effects: comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”. Statistics in Medicine. 40(11): 2753-2758.
• Heath, A., Yaskina, M., Pechlivanoglou, P., Rios, J., Offringa, M., Klassen, T., Poonai, N., Pullenayegum, E. (2021) A Bayesian response-adaptive dose finding and comparative effectiveness trial. Clinical Trials: Journal of the Society for Clinical Trials. 18(1): 61-70.

2020

• Freedman, S., Williamson-Urquhart, S., Heath, A., Pechlivanoglou, P., Hopkin, G., Gouin, S., Plint, A., Dixon, A., Beer, A., Joubert. G.; McCabe, C., Finkelstein, Y., Klassen, T. on behalf of the KidsCANPediatric Emergency Research Canada (PERC) Innovative Pediatric Clinical Trials DOSE-AGE Study Group. (2020). Multi-dose Oral Ondansetron for Pediatric Gastroenteritis: Study Protocol for the multiDOSE oral ondansetron for pediatric Acute GastroEnteritis (DOSE-AGE) Pragmatic Randomized Controlled Trial. Trials. 21(435): 1-13.

• Heath, A., Offringa, M., Pechlivanoglou, P., Rios, J., Klassen, T., Poonai, N., Pullenayegum,E. (2020). Determining a Bayesian Predictive Power Stopping Rule for Futility in a Non-Inferiority Trial with Binary Outcomes: The INK trial. Contemporary Clinical Trials Communications. 18(1005616): 1-6.
• Remiro-Azócar, A., Heath, A., Baio, G. (2020). Conflating marginal and conditional treatment effects: comments on Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study. Statistics in Medicine.

• Kunst, N., Wilson, E., Alarid-Escudero, F., Baio, G., Brennan, A., Fairley, M., Glynn, D., GoldhaberFiebert, J., Jackson, C., Jalal, H., Menzies, N., Strong, M., Thom, H., and Heath, A. (2020). Computing the Expected Value of Sample Information efficiently: Expertise and Skills Required for Four Model-Based Methods. Value in Health. 23(6): 734–742.

• Heath, A., Yaskina, M., Hopkin, G., McCabe, C., Offringa, M., Pechlivanoglou, P., Rios, D., Poonai, N., Ali, S. on behalf of the PERC-KIDSCAN NO OUCH Trials Study Group. (2020). Non-Steroidal or Opioid Analgesia Use for Children with Musculoskeletal Injuries (No OUCH Trials): A Statistical Analysis Plan. Trials. 21: 759.

• Aoyama, K., Heath, A., Yang, A., Maynes, J., Petroz, G., Robertson, J., McDonnell, C.,Velummailum, R., Bond, E., Pechlivanoglou, P. (2020). Estimating the risk of SARS-CoV-2 transmission to anesthesiologists: a microsimulation model. Canadian Journal of Anesthesia Journal Canadien d’anestheesie. 67: 1694–1696.

• Heath, A., Kunst, N., Jackson, C., Strong, M., Alarid-Escudero, F., Goldhaber- Fiebert, J., Baio, G., Menzies, N., and Jalal, H. (2020). Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies. Medical Decision Making. 40(3): 314-326.

• Ali, S., Rajagopal, M., Richer, L., McCabe, C., Willan, A., Yaskina, M., Heath, A., Drendel, A., Gouin, S., Stang, A., Sawyer, S., Bhatt, M., Hickes, S., and Poonai, N., on behalf of the iPCT-PERC No OUCH Trials Team. (2020). A study protocol for two complementary trials of non-steroidal or opioid analgesia use for children with musculoskeletal injuries (the No OUCH trials). BMJ Open. 10(6): e035177.

• Heath, A., Rios, J., Williamson-Urquhart, S. Pechlivanoglou, P., Offringa, M., McCabe, C., Hopkin, G., Plint, A., Dixon, A., Beer, D., Gouin, S., Joubert, G., Klassen, T., Freedman, S., on behalf of the PERCKIDSCAN DOSE-AGE Study Group. (2020). A Pragmatic Randomized Controlled Trial of Multi-Dose Oral Ondansetron for Pediatric Gastroenteritis (DOSE-AGE Study): A Statistical Analysis Plan. Trials. 735(21): 1-8.

2019

• Heath, A., Manolopoulou, I., Baio, G. (2019). Estimating the expected value of sample information across different sample sizes using moment matching and non-linear regression. Medical Decision Making. 39(4): 346-358.

2018

• Heath, A., Manolopoulou, I., Baio, G. (2018). Efficient Monte Carlo estimation of the expected value of sample information using moment matching. Medical Decision Making. 38(2): 163-173.

• Heath, A., Baio, G. (2018). Calculating the expected value of sample information using efficient nested Monte Carlo: a tutorial. Value in Health. 21(11): 1299-1304.

2017

• Baio, G., Heath, A. (2017). When simple becomes complicated: why Excel should lose its place at the top table. Global and Regional Health Technology Assessment. 4(1): 3-6.

• Heath, A., Manolopoulou, I., Baio, G. (2017). A review of methods for analysis of the expected value of information. Medical Decision Making. 37(7): 747-758.

2016

• Heath, A., Manolopoulou, I., Baio, G. (2016). Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation. Statistics in Medicine. 35: 4264–4280.