This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (165) New Methods (1030) Quantified Self and Wellness (82) Statistical Methods (23) Statistical Methods for Surveillance and Population Health (170) Evaluation and Research Methodology for mHealth (219) mHealth for Wellness, Behavior Change and Prevention (3097) Sleep Monitoring, Sleep Quality, Sleep Disorders (227)

Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20597, first published .
Missing-Data Handling Methods for Lifelogs-Based Wellness Index Estimation: Comparative Analysis With Panel Data

Missing-Data Handling Methods for Lifelogs-Based Wellness Index Estimation: Comparative Analysis With Panel Data

Missing-Data Handling Methods for Lifelogs-Based Wellness Index Estimation: Comparative Analysis With Panel Data

Authors of this article:

Ki-Hun Kim1, 2 Author Orcid Image ;   Kwang-Jae Kim3 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Khan M, Batrancea L. Estimating a panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income countries. PLOS ONE 2022;17(10):e0274402 View
  2. Innominato P, Macdonald J, Saxton W, Longshaw L, Granger R, Naja I, Allocca C, Edwards R, Rasheed S, Folkvord F, de Batlle J, Ail R, Motta E, Bale C, Fuller C, Mullard A, Subbe C, Griffiths D, Wreglesworth N, Pecchia L, Fico G, Antonini A. Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study. JMIR Research Protocols 2024;13:e52957 View
  3. Yang S, Jeon H, Kim S, Muratbekova M, Zhamankulova M, Kurmanalieva Z, Djumalieva G, Shin H. Nursing core competencies and educational needs in the low- and middle-income country: A cross-sectional study. Nurse Education Today 2024;143:106349 View
  4. Pham H, Do T, Baek J, Nguyen C, Pham Q, Nguyen H, Goldberg R, Pham Q, Giang L. Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis. JMIR Public Health and Surveillance 2024;10:e53719 View
  5. Afkanpour M, Hosseinzadeh E, Tabesh H. Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review. BMC Medical Research Methodology 2024;24(1) View
  6. Junaid K, Kiran T, Gupta M, Kishore K, Siwatch S. How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations. Population Health Metrics 2025;23(1) View
  7. Afkanpour M, Tehrany Dehkordy D, Momeni M, Tabesh H. Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset. BMC Medical Research Methodology 2025;25(1) View

Books/Policy Documents

  1. Mishkov O, Zorin K, Kovtoniuk D, Dereko V, Morgun I. Lecture Notes in Computational Intelligence and Decision Making. View