Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies

Melanie L Bell1 Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ85724, USA;2 Psycho-Oncology Co-operative Research Group, School of Psychology, University of Sydney, Sydney, NSW, AustraliaCorrespondence[email protected]

Lysbeth Floden1 Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ85724, USA;3 Clinical Outcomes Solutions, Tucson, AZ85718, USA

Brooke A Rabe1 Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ85724, USA

Stacie Hudgens3 Clinical Outcomes Solutions, Tucson, AZ85718, USA

Haryana M Dhillon2 Psycho-Oncology Co-operative Research Group, School of Psychology, University of Sydney, Sydney, NSW, Australia;4 Centre for Medical Psychology & Evidence-Based Decision-Making, School of Psychology, University of Sydney, Sydney, NSW, Australia

Victoria J Bray5 Department of Medical Oncology, Liverpool Hospital and University of Sydney, Sydney, NSW, Australia

Janette L Vardy6 Concord Cancer Centre and Sydney Medical School, University of Sydney, Sydney, NSW, Australia

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Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies

Table 1 Statistical method, missing data assumption, and comments use or implementation

Table 2 De jure and de facto estimands

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Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies

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Table 1 Statistical method, missing data assumption, and comments use or implementation

Table 2 De jure and de facto estimands

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