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Volumn 1, Issue 2, 2005, Pages 95-100

Does the choice of link function matter in response propensity modelling?

Author keywords

(Complementary) log log; Adjusted sampling weights; Bias in point estimates; Logit; Probit

Indexed keywords


EID: 85013573777     PISSN: 15741699     EISSN: None     Source Type: Journal    
DOI: 10.3233/mas-2005-1205     Document Type: Article
Times cited : (6)

References (11)
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  • 3
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  • 4
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    • Weighting via Response Modelling in the Finnish Household Budget Survey
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    • (1991) Journal of Official Statistics , pp. 325-337
    • Ekholm, A.1    Laaksonen, S.2
  • 5
    • 0039300203 scopus 로고
    • Imputation of Missing Values When the Probability of Response Depends on the Variable Being Imputed
    • J.S. Greenless, W.S. Reece and K.D. Zieschang, Imputation of Missing Values When the Probability of Response Depends on the Variable Being Imputed, Journal of the American Statistical Association 77, 378 (1982), 251-261.
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  • 7
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    • Southampton, UK, Southampton Statistical Sciences Research Institute.S3RI Methodology Working Papers, M05/02
    • S. Laaksonen and R. Chambers, Survey estimation under informative non-response with follow-up, Southampton, UK, Southampton Statistical Sciences Research Institute, 2004, (S3RI Methodology Working Papers, M05/02) http://eprints.soton.ac.uk/14072/.
    • (2004) Survey estimation under informative non-response with follow-up
    • Laaksonen, S.1    Chambers, R.2
  • 8
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    • Little, R.J.A.1
  • 9
    • 0003663926 scopus 로고
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    • P. McCullagh and J.A. Nelder, Generalized Linear Models, 2nd ed., Monographs on Statistics and Applied Probability 37, Chapman & Hall, 1989.
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  • 10
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    • The Central Role of the Propensity Score in Observational Studies for Causal Effects
    • P.R. Rosenbaum and D.B. Rubin, The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika 70 (1983), 41-55.
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    • Rosenbaum, P.R.1    Rubin, D.B.2


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