Buchan, Iain

Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

Kontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015) · BMJ

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 1,001

Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North America: A Meta-analysis

Mills, E. J., Nachega, J. B., Buchan, I., Orbinski, J., Attaran, A., Singh, S., Rachlis, B., Wu, P., Cooper, C., Thabane, L., et al. (2006) · JAMA

HIV/AIDS Research and InterventionsMedication Adherence and Compliance

Cited by 899

Adherence to HAART: A Systematic Review of Developed and Developing Nation Patient-Reported Barriers and Facilitators

Mills, E. J., Nachega, J. B., Bangsberg, D. R., Singh, S., Rachlis, B., Wu, P., Wilson, K., Buchan, I., Gill, C. J., & Cooper, C. (2006) · PLoS Medicine

HIV/AIDS Research and InterventionsMedication Adherence and Compliance

Cited by 818

Long-term Glycemic Variability and Risk of Adverse Outcomes: A Systematic Review and Meta-analysis

Gorst, C., Kwok, C. S., Aslam, S., Buchan, I., Kontopantelis, E., Myint, P. K., Heatlie, G., Loke, Y., Rutter, M. K., & Mamas, M. A. (2015) · Diabetes Care

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 530

Body Fat Distribution and Risk of Coronary Heart Disease in Men and Women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk Cohort: A Population-Based Prospective Study

Canoy, D., Boekholdt, S. M., Wareham, N., Luben, R., Welch, A., Bingham, S., Buchan, I., Day, N., & Khaw, K.-T. (2007) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Disease and Adiposity

Cited by 472

Causal inference and counterfactual prediction in machine learning for actionable healthcare

Prosperi, M., Guo, Y., Sperrin, M., Koopman, J. S., Min, J. S., He, X., Rich, S., Wang, M., Buchan, I. E., & Bian, J. (2020) · Nature Machine Intelligence

Advanced Causal Inference TechniquesMachine Learning in Healthcare

Cited by 459

Framework to construct and interpret latent class trajectory modelling

Lennon, H., Kelly, S., Sperrin, M., Buchan, I., Cross, A. J., Leitzmann, M., Cook, M. B., & Renehan, A. G. (2018) · BMJ Open

Statistical Methods in EpidemiologyPsychometric Methodologies and Testing

Cited by 419

Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study

Simpson, A., Tan, V. Y. F., Winn, J., Svensén, M., Bishop, C. M., Heckerman, D. E., Buchan, I., & Custovic, A. (2010) · American Journal of Respiratory and Critical Care Medicine

Asthma and respiratory diseasesAllergic Rhinitis and Sensitization

Cited by 415

Outcome-sensitive multiple imputation: a simulation study

Kontopantelis, E., White, I. R., Sperrin, M., & Buchan, I. (2017) · BMC Medical Research Methodology

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 205

Actissist: Proof-of-Concept Trial of a Theory-Driven Digital Intervention for Psychosis

Bucci, S., Barrowclough, C., Ainsworth, J., Machin, M., Morris, R., Berry, K., Emsley, R., Lewis, S., Edge, D., Buchan, I., et al. (2018) · Schizophrenia Bulletin

Digital Mental Health InterventionsSchizophrenia research and treatment

Cited by 196

Trajectories of lung function during childhood

Belgrave, D. C. M., Buchan, I., Bishop, C., Lowe, L., Simpson, A., & Custovic, A. (2014) · American Journal of Respiratory and Critical Care Medicine

Asthma and respiratory diseasesChronic Obstructive Pulmonary Disease (COPD) Research

Cited by 184

Contralateral mastectomy improves survival in women with BRCA1/2-associated breast cancer

Evans, D. G. R., Ingham, S. L., Baildam, A., Ross, G. L., Lalloo, F., Buchan, I., & Howell, A. (2013) · Breast Cancer Research and Treatment

BRCA gene mutations in cancerMultiple and Secondary Primary Cancers

Cited by 178

Contributions of treatment and lifestyle to declining CVD mortality: why have CVD mortality rates declined so much since the 1960s?

O'Flaherty, M., Buchan, I., & Capewell, S. (2013) · Heart

Cardiovascular Health and Risk FactorsHealthcare Systems and Public Health

Cited by 165

Evolution pathways of IgE responses to grass and mite allergens throughout childhood

Custovic, A., Sonntag, H.-J., Buchan, I. E., Belgrave, D., Simpson, A., & Prosperi, M. C. F. (2015) · Journal of Allergy and Clinical Immunology

Allergic Rhinitis and SensitizationAsthma and respiratory diseases

Cited by 159

Pioglitazone and bladder cancer risk: a multipopulation pooled, cumulative exposure analysis

on behalf of the Scottish Diabetes Research Network Epidemiology Group and the Diabetes and Cancer Research Consortium, Levin, D., Bell, S., Sund, R., Hartikainen, S. A., Tuomilehto, J., Pukkala, E., Keskimäki, I., Badrick, E., Renehan, A. G., et al. (2015) · Diabetologia

Metabolism, Diabetes, and CancerBladder and Urothelial Cancer Treatments

Cited by 158

Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models

Hickey, G. L., Grant, S. W., Murphy, G. J., Bhabra, M., Pagano, D., McAllister, K., Buchan, I., & Bridgewater, B. (2013) · European Journal of Cardio-Thoracic Surgery

Cardiac Valve Diseases and TreatmentsCardiac and Coronary Surgery Techniques

Cited by 154

A review of statistical updating methods for clinical prediction models

Su, T.-L., Jaki, T., Hickey, G. L., Buchan, I., & Sperrin, M. (2018) · Statistical Methods in Medical Research

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 147

Age-, sex-and ethnicity-related differences in body weight, blood pressure, HbA1c and lipid levels at the diagnosis of type 2 diabetes relative to people without diabetes

Wright, A. K., Welsh, P., Gill, J. M. R., Kontopantelis, E., Emsley, R., Buchan, I., Ashcroft, D. M., Rutter, M. K., & Sattar, N. (2020) · Diabetologia

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Treatment and Management

Cited by 124

Joint modeling of parentally reported and physician-confirmed wheeze identifies children with persistent troublesome wheezing

Belgrave, D. C. M., Simpson, A., Semic-Jusufagic, A., Murray, C. S., Buchan, I., Pickles, A., & Custovic, A. (2013) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesChronic Obstructive Pulmonary Disease (COPD) Research

Cited by 98

The sperm deformity index: a reliable predictor of the outcome of oocyte fertilization in vitro

Aziz, N., Buchan, I., Taylor, C., Kingsland, C. R., & Lewis-Jones, I. (1996) · Fertility and Sterility

Sperm and Testicular FunctionReproductive Health and Technologies

Cited by 83

Body mass index relates weight to height differently in women and older adults: serial cross-sectional surveys in England (1992–2011)

Sperrin, M., Marshall, A. D., Higgins, V., Renehan, A. G., & Buchan, I. E. (2016) · Journal of Public Health

Obesity, Physical Activity, DietBody Composition Measurement Techniques

Cited by 83

Disaggregating asthma: big investigation versus big data

Belgrave, D., Henderson, J., Simpson, A., Buchan, I., Bishop, C., & Custovic, A. (2017) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesBig Data Technologies and Applications

Cited by 67

The Study Team for Early Life Asthma Research (STELAR) consortium 'Asthma e-lab': team science bringing data, methods and investigators together

Custovic, A., Ainsworth, J., Arshad, H., Bishop, C., Buchan, I., Cullinan, P., Devereux, G., Henderson, J., Holloway, J., Roberts, G., et al. (2015) · Thorax

Research Data Management PracticesAsthma and respiratory diseases

Cited by 66

Challenges in interpreting allergen microarrays in relation to clinical symptoms: A machine learning approach

Prosperi, M. C. F., Belgrave, D., Buchan, I., Simpson, A., & Custovic, A. (2014) · Pediatric Allergy and Immunology

Asthma and respiratory diseasesAllergic Rhinitis and Sensitization

Cited by 60