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Andrea Discacciati

Personal Details

First Name:Andrea
Middle Name:
Last Name:Discacciati
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RePEc Short-ID:pdi449
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Research output

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Jump to: Working papers Articles Software

Working papers

  1. Andrea Discacciati, 2014. "Approximate Bayesian logistic regression via penalized likelihood estimation with data augmentation," Italian Stata Users' Group Meetings 2014 03, Stata Users Group.

Articles

  1. Andrea Discacciati & Nicola Orsini & Sander Greenland, 2015. "Approximate Bayesian logistic regression via penalized likelihood by data augmentation," Stata Journal, StataCorp LP, vol. 15(3), pages 712-736, September.

Software components

  1. Andrea Discacciati & Viktor Oskarsson & Nicola Orsini, 2015. "STPHCOXRCS: Stata module to check proportional-hazards assumption using restricted cubic splines," Statistical Software Components S458073, Boston College Department of Economics.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Andrea Discacciati & Nicola Orsini & Sander Greenland, 2015. "Approximate Bayesian logistic regression via penalized likelihood by data augmentation," Stata Journal, StataCorp LP, vol. 15(3), pages 712-736, September.

    Cited by:

    1. Ahmed Cemiloglu & Licai Zhu & Agab Bakheet Mohammednour & Mohammad Azarafza & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm," Land, MDPI, vol. 12(7), pages 1-20, July.
    2. Frederico M. Almeida & Vinícius D. Mayrink & Enrico A. Colosimo, 2023. "Bayesian solution to the monotone likelihood in the standard mixture cure model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(3), pages 365-390, August.
    3. Gestel, R.V. & Müller, T. & Bosmans, J., 2016. "Does My High Blood Pressure Improve Your Survival? Overall and Subgroup Learning Curves in Health," Health, Econometrics and Data Group (HEDG) Working Papers 16/27, HEDG, c/o Department of Economics, University of York.
    4. Rahmouni, Mohieddine, 2023. "Corruption and corporate innovation in Tunisia during an economic downturn," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 314-326.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2015-02-16

Corrections

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