Non-random Study Attrition: Assessing Correction Techniques and the Magnitude of Bias in a Longitudinal Study of Reentry from Prison

被引：0

作者：

Meghan M. Mitchell

Chantal Fahmy

Kendra J. Clark

David C. Pyrooz

机构：

[1] University of Central Florida,Department of Criminal Justice

[2] The University of Texas at San Antonio,Department of Criminology and Criminal Justice

[3] University of Colorado Boulder,Department of Sociology

来源：

Journal of Quantitative Criminology | 2022年 / 38卷

关键词：

Attrition; Heckman correction; Multiple imputation; Listwise deletion; Sample selection bias;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：755 / 790

页数：35

共 16 条

[1] Non-random Study Attrition: Assessing Correction Techniques and the Magnitude of Bias in a Longitudinal Study of Reentry from Prison
Mitchell, Meghan M.
Fahmy, Chantal
Clark, Kendra J.
Pyrooz, David C.
JOURNAL OF QUANTITATIVE CRIMINOLOGY, 2022, 38 (03) : 755 - 790
[2] Assessing the non-random sampling effects of subject attrition in longitudinal research
Goodman, JS
Blum, TC
JOURNAL OF MANAGEMENT, 1996, 22 (04) : 627 - 652
[3] Correction of bias from non-random missing longitudinal data using auxiliary information
Wang, Cuiling
Hall, Charles B.
STATISTICS IN MEDICINE, 2010, 29 (06) : 671 - 679
[4] What if They Are All High-Risk for Attrition? Correlates of Retention in a Longitudinal Study of Reentry from Prison
Clark, Kendra J.
Mitchell, Meghan M.
Fahmy, Chantal
Pyrooz, David C.
Decker, Scott H.
INTERNATIONAL JOURNAL OF OFFENDER THERAPY AND COMPARATIVE CRIMINOLOGY, 2020,
[5] Assessing the non-random sampling effects of subject attrition in in longitudinal research (vol 22, pg 627, 1996)
Goodman
Blum
JOURNAL OF MANAGEMENT, 1996, 22 (05) : U5 - U5
[6] Quality of life in terminal cancer patients: Non-random missing data in a longitudinal study
Fairclough, DL
Chang, VT
Hwang, SS
QUALITY OF LIFE RESEARCH, 1997, 6 (05) : 6 - 6
[7] Bias analysis applied to agricultural health study publications to estimate non-random sources of uncertainty
Lash T.L.
Journal of Occupational Medicine and Toxicology, 2 (1)
[8] Estimating the Bias in Meta Analysis Estimates for Continuous Data With Non-Random Missing Study Variance
Idris, Nik Ruzni Nik
MATEMATIKA, 2011, 27 (02) : 121 - 128
[9] The effect of non-random loss to follow-up on group mean estimates in a longitudinal study
van Amelsvoort, LGPM
Beurskens, AJHM
Kant, I
Swaen, GMH
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2004, 19 (01) : 15 - 23
[10] The effect of non-random loss to follow-up on group mean estimates in a longitudinal study
Van Amelsvoort L.G.P.M.
Beurskens A.J.H.M.
Kant I.
Swaen G.M.H.
European Journal of Epidemiology, 2004, 19 (1) : 15 - 23

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