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S. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies. Am. J. Epidemiol. 2004, 160, 301–305. [Google Scholar] [CrossRef] [PubMed]Lui, K.-J. A Monte Carlo evaluation of five interval estimators for the relative risk in sparse data. Biom. J. 2006, 48, 131–143. [Google Scholar] [CrossRef] [PubMed]Zaihra, T.; Paul, S. Interval estimation of some epidemiological measures of association. Int. J. Biostat. 2010, 6. [Google Scholar] [CrossRef]Weerahandi, S. Generalized confidence intervals. J. Am. Stat. Assoc. 1993, 88, 899–905. [Google Scholar] [CrossRef]Weerahandi, S. Exact Statistical Methods for Data Analysis; Springer: New York, NY, USA, 1995. [Google Scholar]Weerahandi, S. Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models; Wiley: New York, NY, USA, 2004. [Google Scholar]Bebu, I.; Mathew, T.; Seillier-Moiseiwitsch, F. Generalized confidence intervals for the ratio of regression coefficients with applications in bioassays. Biom. J. 2009, 51, 1047–1058. [Google Scholar] [CrossRef] [PubMed]Bebu, I.; Mathew, T.; Agan, B. Inference for surrogate endpoint validation. J. Biopharm. Stat. 2015, 25, 1272–1284. [Google Scholar] [CrossRef] [PubMed]Hannig, J. On generalized fiducial inference. Stat. Sin. 2009, 19, 491–544. [Google Scholar]Hannig, J.; Iyer, H.; Lai, R.C.S.; Lee, T.C.M. Generalized fiducial inference: A review and new results. J. Am. Stat. Assoc. 2016. [Google Scholar] [CrossRef]Krishnamoorthy, K.; Lee, M. Inference for functions of parameters in discrete distributions based on fiducial approach: Binomial and Poisson cases. J. Stat. Plan. Infer. 2010, 140, 1182–1192. [Google Scholar] [CrossRef]Savu, A.; Liu, Q.; Yasui, Y. Estimation of relative risk and prevalence ratio. Stat. Med. 2010, 29, 2269–2281. [Google Scholar] [CrossRef] [PubMed]Petersen, M.R.; Deddens, J.A. Maximum Likelihood Estimation of the Log-Binomial Model. Commun. Stat. A Theor. 2010, 39, 874–883. [Google Scholar] [CrossRef]Xie, M.; Singh, K.; Strawderman, W.E. Confidence distributions and a unifying framework for Meta-analysis. J. Am. Stat. Assoc. 2011, 106, 320–333. [Google Scholar] [CrossRef]Xie, M.; Singh, K. Confidence distribution, the frequentist distribution estimator of a parameter: A review. Int. Stat. Rev. 2013, 81, 3–39. [Google Scholar] [CrossRef]Sato, T. Confidence limits for the common odds ratio based on the asymptotic distribution of the Mantel-Haenszel estimator. Biometrics 1990, 46, 71–80. [Google Scholar] [CrossRef]Deddens, J.A.; Petersen, M.R. Approaches for estimating prevalence ratios. J. Occup. Environ. Med. 2008, 65, 501–506. [Google Scholar] [CrossRef] [PubMed]Crum-Cianflone, N.F.; Roediger, M.P.; Moore, D.J.; Hale, B.; Weintrob, A.; Ganesan, A.; Eberly, L.E.; Johnson, E.; Agan, B.K.; Letendre, S. Prevalence and factors associated with sleep disturbances among early-treated HIV-infected persons. Clin. Infect. Dis. 2012, 54, 1485–1494. [Google Scholar] [CrossRef] [PubMed]Fagerland, M.W.; Lydersen, S.; Laake, P. Recommended confidence intervals for two independent binomial proportions. Stat. Methods Med. Res. 2015, 24, 224–254. [Google Scholar] [CrossRef] [PubMed]Marconi, V.C.; Grandits, G.A.; Weintrob, A.C.; Chun, H.; Landrum, M.L.; Ganesan, A.; Okulicz, J.F.; Crum-Cianflone, N.; O’Connell, R.J.; Lifson, A.; et al. Outcomes

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