THE ROLE OF MISSINGNESS IN DAILY DIARY DATA

被引：0
|
作者：
Yildiz, Mustafa [1 ]
Winstead, Vicki [1 ]
Pickering, Carolyn [1 ]
机构：
[1] Univ Alabama Birmingham, Birmingham, AL USA
来源：
INNOVATION IN AGING | 2023年 / 7卷
关键词：
D O I：
暂无
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
igad104.19
引用
收藏
页码：604 / 604
页数：1
相关论文
共 50 条
  • [1] A suggestion for best practice for missing data in diary collection: exploring the missingness first
    Skaltsa, Konstantina
    Kral, Pavol
    Reaney, Matthew
    O'Kelly, Michael
    [J]. QUALITY OF LIFE RESEARCH, 2020, 29 (SUPPL 1) : S76 - S76
  • [2] Characterizing the role of affect in substance use in daily life: A novel application of latent profile analysis for daily diary data
    Van Doren, N.
    Bray, B. C.
    Soto, J. A.
    Linden-Carmichael, A. N.
    [J]. ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, 2023, 47 : 410 - 410
  • [3] MISSING DATA IN A MOBILE PHONE DAILY DIARY STUDY OF ADOLESCENTS
    Sander, P.
    Chung, S.
    Ellen, J.
    Matson, P.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2012, 175 : S137 - S137
  • [4] Diary of daily prayer
    Scott, D
    [J]. EXPOSITORY TIMES, 2003, 114 (11): : 393 - 393
  • [5] Scoring and interpretation of daily diary data in the presence of non-ignorable missing data
    Griffiths, Philip
    Floden, Lysbeth L.
    Hudgens, Stacie
    [J]. QUALITY OF LIFE RESEARCH, 2017, 26 (01) : 70 - 70
  • [6] Daily Temporal Pathways: A Latent Class Approach to Time Diary Data
    Sarah M. Flood
    Rachelle Hill
    Katie R. Genadek
    [J]. Social Indicators Research, 2018, 135 : 117 - 142
  • [7] Daily Temporal Pathways: A Latent Class Approach to Time Diary Data
    Flood, Sarah M.
    Hill, Rachelle
    Genadek, Katie R.
    [J]. SOCIAL INDICATORS RESEARCH, 2018, 135 (01) : 117 - 142
  • [8] Analyzing longitudinal clinical trial data with nonignorable missingness and unknown missingness reasons
    Xie, Hui
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2012, 56 (05) : 1287 - 1300
  • [9] Learning from data with structured missingness
    Mitra, Robin
    McGough, Sarah F.
    Chakraborti, Tapabrata
    Holmes, Chris
    Copping, Ryan
    Hagenbuch, Niels
    Biedermann, Stefanie
    Noonan, Jack
    Lehmann, Brieuc
    Shenvi, Aditi
    Doan, Xuan Vinh
    Leslie, David
    Bianconi, Ginestra
    Sanchez-Garcia, Ruben
    Davies, Alisha
    Mackintosh, Maxine
    Andrinopoulou, Eleni-Rosalina
    Basiri, Anahid
    Harbron, Chris
    MacArthur, Ben D.
    [J]. NATURE MACHINE INTELLIGENCE, 2023, 5 (01) : 13 - 23
  • [10] Learning from data with structured missingness
    Robin Mitra
    Sarah F. McGough
    Tapabrata Chakraborti
    Chris Holmes
    Ryan Copping
    Niels Hagenbuch
    Stefanie Biedermann
    Jack Noonan
    Brieuc Lehmann
    Aditi Shenvi
    Xuan Vinh Doan
    David Leslie
    Ginestra Bianconi
    Ruben Sanchez-Garcia
    Alisha Davies
    Maxine Mackintosh
    Eleni-Rosalina Andrinopoulou
    Anahid Basiri
    Chris Harbron
    Ben D. MacArthur
    [J]. Nature Machine Intelligence, 2023, 5 : 13 - 23
12345