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Goodness-of-fit test for logistic regression for sensitive data collected via randomized response techniques

Truong-Nhat Le et al.

Metrika: international journal for theoretical and applied statistics2026https://doi.org/10.1007/s00184-026-01027-4article
ABDC B
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0.50

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https://doi.org/https://doi.org/10.1007/s00184-026-01027-4

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@article{truong-nhat2026,
  title        = {{Goodness-of-fit test for logistic regression for sensitive data collected via randomized response techniques}},
  author       = {Truong-Nhat Le et al.},
  journal      = {Metrika: international journal for theoretical and applied statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s00184-026-01027-4},
}

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Goodness-of-fit test for logistic regression for sensitive data collected via randomized response techniques

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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