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Informative Drop‐Out in Longitudinal Data Analysis

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Cited by:

  1. Maryam Aghayerashti & Ehsan Bahrami Samani & Mojtaba Ganjali, 2023. "Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 210-250, May.
  2. David M. Murray & Jonathan L. Blitstein, 2003. "Methods To Reduce The Impact Of Intraclass Correlation In Group-Randomized Trials," Evaluation Review, , vol. 27(1), pages 79-103, February.
  3. Artz G. Luwanda & Henry G. Mwambi, 2016. "A Nonlinear Mixed-Effects Model for Multivariate Longitudinal Data with Dropout with Application to HIV Disease Dynamics," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(2), pages 277-294, June.
  4. Michael J. Daniels & Joseph W. Hogan, 2000. "Reparameterizing the Pattern Mixture Model for Sensitivity Analyses Under Informative Dropout," Biometrics, The International Biometric Society, vol. 56(4), pages 1241-1248, December.
  5. Rita Justo-Silva & Adelino Ferreira & Gerardo Flintsch, 2021. "Review on Machine Learning Techniques for Developing Pavement Performance Prediction Models," Sustainability, MDPI, vol. 13(9), pages 1-27, May.
  6. Rémi Colin-Chevalier & Frédéric Dutheil & Sébastien Cambier & Samuel Dewavrin & Thomas Cornet & Julien Steven Baker & Bruno Pereira, 2022. "Methodological Issues in Analyzing Real-World Longitudinal Occupational Health Data: A Useful Guide to Approaching the Topic," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
  7. Mette Ejrnæs & Anders Holm, 2006. "Comparing Fixed Effects and Covariance Structure Estimators for Panel Data," Sociological Methods & Research, , vol. 35(1), pages 61-83, August.
  8. Patrick E. B. FitzGerald, 2002. "Extended Generalized Estimating Equations for Binary Familial Data with Incomplete Families," Biometrics, The International Biometric Society, vol. 58(4), pages 718-726, December.
  9. Jansen, Ivy & Hens, Niel & Molenberghs, Geert & Aerts, Marc & Verbeke, Geert & Kenward, Michael G., 2006. "The nature of sensitivity in monotone missing not at random models," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 830-858, February.
  10. Bian, Yuan & Yi, Grace Y. & He, Wenqing, 2024. "A unified framework of analyzing missing data and variable selection using regularized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 194(C).
  11. Jolani, Shahab, 2014. "An analysis of longitudinal data with nonignorable dropout using the truncated multivariate normal distribution," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 163-173.
  12. Bindele, Huybrechts F. & Nguelifack, Brice M., 2019. "Generalized signed-rank estimation for regression models with non-ignorable missing responses," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 14-33.
  13. Kenneth A. Bollen & Patrick J. Curran, 2004. "Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions," Sociological Methods & Research, , vol. 32(3), pages 336-383, February.
  14. Thomas R. Ten Have & Michael E. Miller & Beth A. Reboussin & Margaret K. James, 2000. "Mixed Effects Logistic Regression Models for Longitudinal Ordinal Functional Response Data with Multiple-Cause Drop-Out from the Longitudinal Study of Aging," Biometrics, The International Biometric Society, vol. 56(1), pages 279-287, March.
  15. Ivy Jansen & Ann Van den Troost & Geert Molenberghs & Ad A. Vermulst & Jan R. M. Gerris, 2006. "Modeling Partially Incomplete Marital Satisfaction Data," Sociological Methods & Research, , vol. 35(1), pages 113-136, August.
  16. Jimmy T. Efird & Charulata Jindal, 2018. "Using a Counting Process Method to Impute Censored Follow-Up Time Data," IJERPH, MDPI, vol. 15(4), pages 1-10, April.
  17. Li, Haocheng & Shu, Di & He, Wenqing & Yi, Grace Y., 2019. "Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates," Computational Statistics & Data Analysis, Elsevier, vol. 135(C), pages 25-34.
  18. Sun, Dayu & Zhao, Hui & Sun, Jianguo, 2021. "Regression analysis of asynchronous longitudinal data with informative observation processes," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
  19. Lars Relund Nielsen & Erik Jørgensen & Søren Højsgaard, 2011. "Embedding a state space model into a Markov decision process," Annals of Operations Research, Springer, vol. 190(1), pages 289-309, October.
  20. Wang, Yijun & Wang, Weiwei & Zhao, Xiaobing, 2022. "Local logarithm partial likelihood estimation of panel count data model with an unknown link function," Computational Statistics & Data Analysis, Elsevier, vol. 166(C).
  21. Jani Raitanen & Sari Stenholm & Kristina Tiainen & Marja Jylhä & Jaakko Nevalainen, 2020. "Longitudinal change in physical functioning and dropout due to death among the oldest old: a comparison of three methods of analysis," European Journal of Ageing, Springer, vol. 17(2), pages 207-216, June.
  22. Geert Verbeke & Geert Molenberghs & Herbert Thijs & Emmanuel Lesaffre & Michael G. Kenward, 2001. "Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach," Biometrics, The International Biometric Society, vol. 57(1), pages 7-14, March.
  23. Pourahmadi, Mohsen & Daniels, Michael J. & Park, Trevor, 2007. "Simultaneous modelling of the Cholesky decomposition of several covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 98(3), pages 568-587, March.
  24. Atanu Bhattacharjee, 2020. "Estimation of Treatment Effect with Missing Observations for Three Arms and Three Periods Crossover Clinical Trials," Annals of Data Science, Springer, vol. 7(3), pages 447-460, September.
  25. David Shapiro, 2012. "Women’s education and fertility transition in sub-Saharan Africa," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 10(1), pages 9-30.
  26. Zhixiong Zhou & Shanshan Dong & Jun Yin & Quan Fu & Hong Ren & Zenong Yin, 2018. "Improving Physical Fitness and Cognitive Functions in Middle School Students: Study Protocol for the Chinese Childhood Health, Activity and Motor Performance Study (Chinese CHAMPS)," IJERPH, MDPI, vol. 15(5), pages 1-15, May.
  27. Jennifer Chan & Wai Wan, 2011. "Bayesian approach to analysing longitudinal bivariate binary data with informative dropout," Computational Statistics, Springer, vol. 26(1), pages 121-144, March.
  28. Betsy J. Feldman & Sophia Rabe-Hesketh, 2012. "Modeling Achievement Trajectories When Attrition Is Informative," Journal of Educational and Behavioral Statistics, , vol. 37(6), pages 703-736, December.
  29. Silver, Ian A. & Nedelec, Joseph L., 2018. "Cognitive abilities and antisocial behavior in prison: A longitudinal assessment using a large state-wide sample of prisoners," Intelligence, Elsevier, vol. 71(C), pages 17-31.
  30. Jayajit Chakraborty & Timothy W. Collins & Sara E. Grineski & Alejandra Maldonado, 2017. "Racial Differences in Perceptions of Air Pollution Health Risk: Does Environmental Exposure Matter?," IJERPH, MDPI, vol. 14(2), pages 1-16, January.
  31. Jokinen, Jukka, 2006. "Fast estimation algorithm for likelihood-based analysis of repeated categorical responses," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1509-1522, December.
  32. Jolene Birmingham & Garrett M. Fitzmaurice, 2002. "A Pattern-Mixture Model for Longitudinal Binary Responses with Nonignorable Nonresponse," Biometrics, The International Biometric Society, vol. 58(4), pages 989-996, December.
  33. Thomas G. Paulson & Patricia C. Galipeau & Kenji M. Oman & Carissa A. Sanchez & Mary K. Kuhner & Lucian P. Smith & Kevin Hadi & Minita Shah & Kanika Arora & Jennifer Shelton & Molly Johnson & Andre Co, 2022. "Somatic whole genome dynamics of precancer in Barrett’s esophagus reveals features associated with disease progression," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  34. Konstantinos Fokianos & Benjamin Kedem, 2004. "Partial Likelihood Inference For Time Series Following Generalized Linear Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(2), pages 173-197, March.
  35. Jayajit Chakraborty & Pratyusha Basu, 2018. "Linking Industrial Hazards and Social Inequalities: Environmental Injustice in Gujarat, India," IJERPH, MDPI, vol. 16(1), pages 1-13, December.
  36. Jeroen K. Vermunt & Marã A Florencia Rodrigo & Manuel Ato-Garcia, 2001. "Modeling Joint and Marginal Distributions in the Analysis of Categorical Panel Data," Sociological Methods & Research, , vol. 30(2), pages 170-196, November.
  37. Amon Exavery & John Charles & Asheri Barankena & Shraddha Bajaria & Epifania Minja & Jacob Mulikuza & Tumainiel Mbwambo & Amal Ally & Remmy Mseya & Godfrey M Mubyazi & Levina Kikoyo & Marianna Balampa, 2022. "Impact of household economic strengthening intervention on food security among caregivers of orphans and vulnerable children in Tanzania," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-19, February.
  38. Mazodier, Marc & Quester, Pascale, 2014. "The role of sponsorship fit for changing brand affect: A latent growth modeling approach," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 16-29.
  39. Andreia Monteiro & Raquel Menezes & Maria Eduarda Silva, 2021. "Modelling informative time points: an evolutionary process approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 364-382, June.
  40. Amelia M. Haviland & Bobby L. Jones & Daniel S. Nagin, 2011. "Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition," Sociological Methods & Research, , vol. 40(2), pages 367-390, May.
  41. Sotto, Cristina & Beunckens, Caroline & Molenberghs, Geert & Kenward, Michael G., 2011. "MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 301-311, January.
  42. Joseph W. Hogan & Xihong Lin & Benjamin Herman, 2004. "Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Nonignorable Dropout," Biometrics, The International Biometric Society, vol. 60(4), pages 854-864, December.
  43. Rebecca E. Anthony & Amy L. Paine & Katherine H. Shelton, 2019. "Depression and Anxiety Symptoms of British Adoptive Parents: A Prospective Four-Wave Longitudinal Study," IJERPH, MDPI, vol. 16(24), pages 1-14, December.
  44. Miguel Meuleman & Mike Wright & Sophie Manigart & Andy Lockett, 2009. "Private Equity Syndication: Agency Costs, Reputation and Collaboration," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(5‐6), pages 616-644, June.
  45. Gad, Ahmed M. & Ahmed, Abeer S., 2006. "Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2702-2714, June.
  46. Dai, Ning & Jones, Galin L. & Fiecas, Mark, 2020. "Bayesian longitudinal spectral estimation with application to resting-state fMRI data analysis," Econometrics and Statistics, Elsevier, vol. 15(C), pages 104-116.
  47. Hens, Niel & Aerts, Marc & Molenberghs, Geert & Thijs, Herbert & Verbeke, Geert, 2005. "Kernel weighted influence measures," Computational Statistics & Data Analysis, Elsevier, vol. 48(3), pages 467-487, March.
  48. David Sobek, 2003. "Regime Type, Preferences, and War in Renaissance Italy," Journal of Conflict Resolution, Peace Science Society (International), vol. 47(2), pages 204-225, April.
  49. Serguei Rouzinov & André Berchtold, 2022. "Regression-Based Approach to Test Missing Data Mechanisms," Data, MDPI, vol. 7(2), pages 1-28, January.
  50. Shonosuke Sugasawa & Kosuke Morikawa & Keisuke Takahata, 2022. "Bayesian semiparametric modeling of response mechanism for nonignorable missing data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 101-117, March.
  51. Sinha, Sanjoy K. & Kaushal, Amit & Xiao, Wenzhong, 2014. "Inference for longitudinal data with nonignorable nonmonotone missing responses," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 77-91.
  52. Yu Cao & Nitai D. Mukhopadhyay, 2021. "Statistical Modeling of Longitudinal Data with Non-Ignorable Non-Monotone Missingness with Semiparametric Bayesian and Machine Learning Components," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 152-169, May.
  53. E. Michael Foster & Grace Y. Fang, 2004. "Alternative Methods for Handling Attrition," Evaluation Review, , vol. 28(5), pages 434-464, October.
  54. Miran A. Jaffa & Ayad A. Jaffa, 2019. "A Likelihood-Based Approach with Shared Latent Random Parameters for the Longitudinal Binary and Informative Censoring Processes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 597-613, December.
  55. Gianpiero Dalla-Zuanna & Alessandro Rosina, 2011. "An Analysis of Extremely High Nineteenth-Century Winter Neonatal Mortality in a Local Context of Northeastern Italy [Une analyse des niveaux extrêmement élevés de mortalité néonatale hivernale au 1," European Journal of Population, Springer;European Association for Population Studies, vol. 27(1), pages 33-55, February.
  56. Marc A. Scott & Mark S. Handcock, 2005. "Persistent Inequality? Answers From Hybrid Models for Longitudinal Data," Sociological Methods & Research, , vol. 34(1), pages 3-30, August.
  57. Hines, R.J. O'Hara & Hines, W.G.S., 2010. "Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 806-815, April.
  58. Molenberghs, Geert & Verbeke, Geert & Thijs, Herbert & Lesaffre, Emmanuel & Kenward, Michael G., 2001. "Influence analysis to assess sensitivity of the dropout process," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 93-113, July.
  59. Prajamitra Bhuyan, 2019. "Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling," Computational Statistics, Springer, vol. 34(4), pages 1693-1710, December.
  60. Weiping Zhang & Feiyue Xie & Jiaxin Tan, 2020. "A robust joint modeling approach for longitudinal data with informative dropouts," Computational Statistics, Springer, vol. 35(4), pages 1759-1783, December.
  61. Shu Xu & Shelley A. Blozis, 2011. "Sensitivity Analysis of Mixed Models for Incomplete Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 36(2), pages 237-256, April.
  62. Shelley A. Blozis & Jeffrey R. Harring, 2017. "Understanding Individual-level Change Through the Basis Functions of a Latent Curve Model," Sociological Methods & Research, , vol. 46(4), pages 793-820, November.
  63. Sebastian Domhof & Edgar Brunner & D. Wayne Osgood, 2002. "Rank Procedures for Repeated Measures with Missing Values," Sociological Methods & Research, , vol. 30(3), pages 367-393, February.
  64. O'Hara Hines, R.J. & Hines, W.G.S., 2007. "Covariance miss-specification and the local influence approach in sensitivity analyses of longitudinal data with drop-outs," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5537-5546, August.
  65. McCarty, William P. & Meng, Zhe & Buslik, Marc S. & Moreno, Rafael, 2021. "Body-worn cameras and arrest: Zooming in on disaggregated metrics and possible unintended consequences," Journal of Criminal Justice, Elsevier, vol. 75(C).
  66. Oludare Samuel Ariyo & Matthew Adekunle Adeleke, 2022. "Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout," Computational Statistics, Springer, vol. 37(1), pages 303-325, March.
  67. Paiva Thais & Reiter Jerome P., 2017. "Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables," Journal of Official Statistics, Sciendo, vol. 33(3), pages 579-599, September.
  68. Anders Skrondal & Sophia Rabe-Hesketh, 2022. "The Role of Conditional Likelihoods in Latent Variable Modeling," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 799-834, September.
  69. Nicola Lunardon & Giovanna Menardi, 2020. "Comment on “Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis”," Biometrics, The International Biometric Society, vol. 76(3), pages 1040-1042, September.
  70. Isabelle Deltour & Sylvia Richardson & Jean-Yves Le Hesran, 1999. "Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data," Biometrics, The International Biometric Society, vol. 55(2), pages 565-573, June.
  71. Markus Gangl, 2002. "Changing Labour Markets and Early Career Outcomes: Labour Market Entry in Europe Over the Past Decade," Work, Employment & Society, British Sociological Association, vol. 16(1), pages 67-90, March.
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