Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case

No abstract is available for this paper.

• Publication year

  2001

• Venue

  Journal of the Royal Statistical Society: Series C (Applied Statistics)

• Publication date

  Unknown publication date

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1111/1467-9876.00217
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2001cited by this paper
• Nonrandom Missingness in Categorical Data: Strengt hs and Limitations

  1999cited by this paper
• Model‐based inference for categorical survey data subject to non‐ignorable non‐response

  1998cited by this paper
• Clinical trials comparing two treatment policies: which aspects of the treatment policies make a difference?

  1998cited by this paper
• Selection models for repeated measurements with non-random dropout: an illustration of sensitivity.

  1998influential reference
• Simple Fitting Algorithms for Incomplete Categorical Data

  1997cited by this paper
• Handling “Don't Know” Survey Responses: The Case of the Slovenian Plebiscite

  1995cited by this paper
• Logistic regression with incompletely observed categorical covariates--investigating the sensitivity against violation of the missing at random assumption.

  1995cited by this paper
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies

  1995cited by this paper
• Closed-form estimates for missing counts in two-way contingency tables.

  1992influential reference
• Correcting for the bias caused by drop-outs in hypertension trials.

  1988cited by this paper
• Statistical Analysis With Missing Data

  1988influential reference
• Inference from Nonrandomly Missing Categorical Data: An Example from a Genetic Study on Turner's Syndrome

  1984cited by this paper
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  1977cited by this paper
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  1975influential reference

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  2018cites this paper
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  2018cites this paper
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  2017cites this paper
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  2017cites this paper
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  2016cites this paper
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  2016cites this paper
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  2011cites this paper
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  2009cites this paper
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  2009cites this paper
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  2009cites this paper
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  2009cites this paper
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  2008cites this paper
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  2008cites this paper
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  2008cites this paper
• Bayesian latent class models with conditionally dependent diagnostic tests: A case study

  2008cites this paper
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