On missing-at-random mechanism in two-way incomplete contingency tables
Author
Abstract
Suggested Citation
DOI: 10.1016/j.spl.2014.09.026
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Geert Molenberghs & Caroline Beunckens & Cristina Sotto & Michael G. Kenward, 2008. "Every missingness not at random model has a missingness at random counterpart with equal fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(2), pages 371-388, April.
- Clarke, Paul S. & Smith, Peter W.F., 2005. "On maximum likelihood estimation for log-linear models with non-ignorable non-response," Statistics & Probability Letters, Elsevier, vol. 73(4), pages 441-448, July.
- Geert Molenberghs & Michael G. Kenward & Els Goetghebeur, 2001. "Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(1), pages 15-29.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Jeon, Saebom & Kwon, Tae Yeon & Park, Yousung, 2019. "Variable-based missing mechanism for an incomplete contingency table with unit missingness," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 90-96.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Margarita Moreno-Betancur & Grégoire Rey & Aurélien Latouche, 2015. "Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure," Biometrics, The International Biometric Society, vol. 71(2), pages 498-507, June.
- Caroline Beunckens & Cristina Sotto & Geert Molenberghs & Geert Verbeke, 2009. "A multifaceted sensitivity analysis of the Slovenian public opinion survey data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 171-196, May.
- Yekun Qin & Shanminhui Yin & Fang Liu, 2024. "Navigating Criminal Responsibility in the Digital Marketplace: Implications of Network-Neutral Help Behavior and Beyond-5G Networks in E-Commerce Transactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 10667-10695, September.
- Frederico Poleto & Geert Molenberghs & Carlos Paulino & Julio Singer, 2011. "Sensitivity analysis for incomplete continuous data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 589-606, November.
- 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.
- 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).
- Kott Phillip S. & Liao Dan, 2018. "Calibration Weighting for Nonresponse with Proxy Frame Variables (So that Unit Nonresponse Can Be Not Missing at Random)," Journal of Official Statistics, Sciendo, vol. 34(1), pages 107-120, March.
- Marco Doretti & Sara Geneletti & Elena Stanghellini, 2018.
"Missing Data: A Unified Taxonomy Guided by Conditional Independence,"
International Statistical Review, International Statistical Institute, vol. 86(2), pages 189-204, August.
- Doretti, Marco & Geneletti, Sara & Stanghellini, Elena, 2018. "Missing data: a unified taxonomy guided by conditional independence," LSE Research Online Documents on Economics 87227, London School of Economics and Political Science, LSE Library.
- Heyna, Philipp, 2024. "Can TikTok Drive Support for Populist Radical Right Parties? Causal Evidence From Germany," OSF Preprints yju9n, Center for Open Science.
- Baojiang Chen & Xiao-Hua Zhou, 2011. "Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates," Biometrics, The International Biometric Society, vol. 67(3), pages 830-842, September.
- Hairu Wang & Zhiping Lu & Yukun Liu, 2023. "Score test for missing at random or not under logistic missingness models," Biometrics, The International Biometric Society, vol. 79(2), pages 1268-1279, June.
- Andrew T. Karl & Yan Yang & Sharon L. Lohr, 2013. "A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects," Journal of Educational and Behavioral Statistics, , vol. 38(6), pages 577-603, December.
- Rianne Margaretha Schouten & Gerko Vink, 2021. "The Dance of the Mechanisms: How Observed Information Influences the Validity of Missingness Assumptions," Sociological Methods & Research, , vol. 50(3), pages 1243-1258, August.
- Ivy Jansen & Geert Molenberghs, 2008. "A flexible marginal modelling strategy for non‐monotone missing data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 347-373, April.
- Daniel, Rhian M. & Kenward, Michael G., 2012. "A method for increasing the robustness of multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1624-1643.
- D. Nitsch & B. L. DeStavola & S. M. B. Morton & D. A. Leon, 2006. "Linkage bias in estimating the association between childhood exposures and propensity to become a mother: an example of simple sensitivity analyses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 493-505, July.
- Janicki, Ryan & Malec, Donald, 2013. "A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 600-614.
- Shin-Soo Kang & Kenneth Koehler & Michael Larsen, 2012. "Fractional imputation for incomplete two-way contingency tables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(5), pages 581-599, July.
- Yuan, Ke-Hai, 2009. "Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1900-1918, October.
- Yuriko Takeda & Toshihiro Misumi & Kouji Yamamoto, 2022. "Joint Models for Incomplete Longitudinal Data and Time-to-Event Data," Mathematics, MDPI, vol. 10(19), pages 1-7, October.
More about this item
Keywords
Incomplete contingency table; Missing data mechanism; Nonresponse model;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:96:y:2015:i:c:p:196-203. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.