Semiparametric profile likelihood estimation for continuous outcomes with excess zeros in a random‐threshold damage‐resistance model
dc.contributor.author | Rice, John D. | |
dc.contributor.author | Tsodikov, Alex | |
dc.date.accessioned | 2017-05-10T17:47:53Z | |
dc.date.available | 2018-07-09T17:42:24Z | en |
dc.date.issued | 2017-05-30 | |
dc.identifier.citation | Rice, John D.; Tsodikov, Alex (2017). "Semiparametric profile likelihood estimation for continuous outcomes with excess zeros in a random‐threshold damage‐resistance model." Statistics in Medicine 36(12): 1924-1935. | |
dc.identifier.issn | 0277-6715 | |
dc.identifier.issn | 1097-0258 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/136688 | |
dc.publisher | Wiley | |
dc.subject.other | profile likelihood | |
dc.subject.other | damage threshold modeling | |
dc.subject.other | retro‐hazard | |
dc.subject.other | semicontinuous data | |
dc.subject.other | semiparametric methods | |
dc.title | Semiparametric profile likelihood estimation for continuous outcomes with excess zeros in a random‐threshold damage‐resistance model | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | |
dc.subject.hlbtoplevel | Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/136688/1/sim7237.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/136688/2/sim7237_am.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/136688/3/sim7237-0001-supplementary.pdf | |
dc.identifier.doi | 10.1002/sim.7237 | |
dc.identifier.source | Statistics in Medicine | |
dc.identifier.citedreference | Chow WH, Dong LM, Devesa SS. Epidemiology and risk factors for kidney cancer. Nature Reviews Urology 2010; 7: 245 – 257. | |
dc.identifier.citedreference | Lagakos SW, Barraj LM, De Gruttola V. Nonparametric analysis of truncated survival data, with application to AIDS. Biometrika 1988; 75: 515 – 523. | |
dc.identifier.citedreference | Gross ST, Huber‐Carol C. Regression models for truncated survival data. Scandinavian Journal of Statistics 1992; 19: 193 – 213. | |
dc.identifier.citedreference | Cox DR. Regression models and life‐tables. Journal of the Royal Statistical Society, Series B (Methodological) 1972; 34: 187 – 220. | |
dc.identifier.citedreference | Cook RJ, Farewell VT. The utility of mixed‐form likelihoods. Biometrics 1999; 55: 284 – 288. | |
dc.identifier.citedreference | Brockhoff PM, Muller HG. Random effect threshold models for dose–response relationships with repeated measurements. Journal of the Royal Statistical Society, Series B (Methodological) 1997; 59: 431 – 446. | |
dc.identifier.citedreference | Dabrowska DM, Doksum KA. Partial likelihood in transformation models with censored data. Scandinavian Journal of Statistics 1988; 15: 1 – 23. | |
dc.identifier.citedreference | Weinberg RA. Tumor suppressor genes. Science 1991; 254: 1138 – 1146. | |
dc.identifier.citedreference | Boffetta P, Nyberg F. Contribution of environmental factors to cancer risk. British Medical Bulletin 2003; 68: 71 – 94. | |
dc.identifier.citedreference | Enewold L, Zhu K, Ron E, Marrogi AJ, Stojadinovic A, Peoples GE, Devesa SS. Rising thyroid cancer incidence in the United States by demographic and tumor characteristics, 1980–2005. Cancer Epidemiology, Biomarkers & Prevention 2009; 18: 784 – 791. | |
dc.identifier.citedreference | Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data (Second edn.) Wiley: Hoboken, New Jersey, 2002. | |
dc.identifier.citedreference | Hu C, Tsodikov A. Joint modeling approach for semicompeting risks data with missing nonterminal event status. Lifetime Data Analysis 2014; 20: 563 – 583. | |
dc.identifier.citedreference | Hayfield T, Racine JS. Nonparametric econometrics: the np package. Journal of Statistical Software 2008; 27. | |
dc.identifier.citedreference | Ichimura H. Semiparametric least squares (SLS) and weighted SLS estimation of single‐index models. Journal of Econometrics 1993; 58: 71 – 120. | |
dc.identifier.citedreference | Farewell VT. Some comments on analysis techniques for censored water quality data. Environmental Monitoring and Assessment 1989; 12: 285 – 294. | |
dc.identifier.citedreference | Crump KS. Dose response problems in carcinogenesis. Biometrics 1979; 35: 157 – 167. | |
dc.identifier.citedreference | Cox C. Threshold dose‐response models in toxicology. Biometrics 1987; 43: 511 – 523. | |
dc.identifier.citedreference | Ebrahimi N. Stochastic properties of a cumulative damage threshold crossing model. Journal of Applied Probability 1999; 36: 720 – 732. | |
dc.identifier.citedreference | Esary JD, Marshall AW. Shock models and wear processes. The Annals of Probability 1973; 1: 627 – 649. | |
dc.identifier.citedreference | Aitchison J. On the distribution of a positive random variable having a discrete probability mass at the origin. Journal of the American Statistical Association 1955; 50: 901 – 908. | |
dc.identifier.citedreference | Siegel AF. Modelling data containing exact zeroes using zero degrees of freedom. Journal of the Royal Statistical Society, Series B (Methodological) 1985; 47: 267 – 271. | |
dc.identifier.citedreference | Lambert D. Zero‐inflated Poisson regression, with an application to defects in manufacturing. Technometrics 1992; 34: 1 – 14. | |
dc.identifier.citedreference | Foster SD, Bravington MV. A Poisson‐gamma model for analysis of ecological non‐negative continuous data. Environmental and Ecological Statistics 2013; 20: 533 – 552. | |
dc.identifier.citedreference | Miller DL. Induction of pulmonary hemorrhage in rats during diagnostic ultrasound. Ultrasound in Medicine and Biology 2012; 38: 1476 – 1482. | |
dc.identifier.citedreference | Polansky AM. Nonparametric estimation of distribution functions of nonstandard mixtures. Communications in Statistics—Theory and Methods 2005; 34: 1711 – 1724. | |
dc.identifier.citedreference | Zhou XH, Liang H. Semi‐parametric single‐index two‐part regression models. Computational Statistics and Data Analysis 2006; 50: 1378 – 1390. | |
dc.identifier.citedreference | Lehmann EL. The power of rank tests. The Annals of Mathematical Statistics 1953; 24: 23 – 43. | |
dc.identifier.citedreference | Cheng S, Wei L, Ying Z. Analysis of transformation models with censored data. Biometrika 1995; 82: 835 – 845. | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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