Literature DB >> 28093845

Response to comment on 'Randomization inference for treatment effects on a binary outcome'.

Joseph Rigdon1, Wen Wei Loh2, Michael G Hudgens2.   

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Year:  2017        PMID： 28093845      PMCID： PMC5358813          DOI： 10.1002/sim.7192

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  5 in total

1.  Dealing with discreteness: making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exact.

Authors:  A Agresti
Journal:  Stat Methods Med Res       Date:  2003-01       Impact factor: 3.021

2.  Exact confidence intervals for the average causal effect on a binary outcome.

Authors:  Xinran Li; Peng Ding
Journal:  Stat Med       Date:  2016-03-15       Impact factor: 2.373

3.  Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism.

Authors:  D B Rubin
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

4.  A note on exact confidence interval for causal effects on a binary outcome in randomized trials.

Authors:  Yasutaka Chiba
Journal:  Stat Med       Date:  2016-05-10       Impact factor: 2.373

5.  Randomization inference for treatment effects on a binary outcome.

Authors:  Joseph Rigdon; Michael G Hudgens
Journal:  Stat Med       Date:  2014-12-04       Impact factor: 2.373
  5 in total

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