Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Rupert G. Miller"'
Publikováno v:
Journal of the American Statistical Association. 77:505-514
Three experiments involving the growth of tumor cells in an organ culture system are described. The fraction of labeled mitoses, the labeling index, and the grain count are measured in each of these experiments. The data and the statistical analyses
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https://explore.openaire.eu/search/publication?articleId=doi_________::3a5809f46ab8cd710e5c7adb298a32a0
https://doi.org/10.1080/01621459.1982.10477839
https://doi.org/10.1080/01621459.1982.10477839
Autor:
Joel P. Friedman, Rupert G. Miller, Larry E. Berte, Edwin L. Alderman, William P. Creger, Kenneth R. Jutzy, Michael Eliastam
Publikováno v:
The American Journal of Cardiology. 54:14-19
The efficacy of intravenous (i.v.) thrombolytic therapy has not been firmly established in comparison with the intracoronary (i.c.) route of administration. In a randomized trial of 28 patients who underwent angiography before and during i.v. and i.c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3019cb4e39d646e00d8e49a1b397a7f3
https://doi.org/10.1016/0002-9149(84)90297-2
https://doi.org/10.1016/0002-9149(84)90297-2
Autor:
Jerry Halpern, Rupert G. Miller
Publikováno v:
Biometrika. 69:521-531
SUMMARY There are four regression techniques currently available for use with censored data which do not assume particular parametric families of survival distributions. They are due to (i) Cox (1972), (ii) Miller (1976), (iii) Buckley & James (1979)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb262970b32f06f0ae6ed0d5366cf9a4
https://doi.org/10.1093/biomet/69.3.521
https://doi.org/10.1093/biomet/69.3.521
Autor:
Jukka Nikoskelainen, Dharam V. Ablashi, Richard A. Isenberg, Elizabeth U. Neel, Rupert G. Miller, David A. Stevens
Publikováno v:
The Journal of Immunology. 121:1239-1244
Infectious mononucleosis (IM) patients, Epstein-Barr virus (EBV)-seropositive and seronegative healthy donors, and patients with other viral infections were tested for lymphocyte blastogenesis (LB) with phytohemagglutinin and six EBV (virus concentra
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https://doi.org/10.4049/jimmunol.121.4.1239
https://doi.org/10.4049/jimmunol.121.4.1239
Autor:
Rupert G. Miller
Publikováno v:
Biometrika. 63:449-464
SUMMARY The analysis for a standard linear regression model is extended to the case of data randomly censored on the right. The slope and intercept estimators are weighted linear combinations of the uncensored observations where the weights are deriv
Externí odkaz:
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https://doi.org/10.1093/biomet/63.3.449
https://doi.org/10.1093/biomet/63.3.449
Autor:
Rupert G. Miller, Donald P. Gaver
Publikováno v:
Communications in Statistics - Theory and Methods. 12:1701-1718
It is shown by simulation t h a t the (arc-sine transformation of the) Kaplan-Meier survival estimator for censored data can be usefully jackknifed to give conservative confidence limits for survival probabilities when samples are small (25 and 50).
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https://explore.openaire.eu/search/publication?articleId=doi_________::92dff0bc6b202b49a00c0f46dab0e908
https://doi.org/10.1080/03610928308828563
https://doi.org/10.1080/03610928308828563
Autor:
Jerry Halpern, Rupert G. Miller
Publikováno v:
Biometrika. 67:103-110
SUMMARY Extensions of robust estimators for the location of a symmetric distribution are given for the quantal bioassay problem. Asymptotic properties of the estimators are derived. A comparison in terms of asymptotic efficiencies under different tol
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https://doi.org/10.1093/biomet/67.1.103
https://doi.org/10.1093/biomet/67.1.103
Autor:
Rupert G. Miller
Publikováno v:
Biometrika. 61:1-15
SUMMARY Research on the jackknife technique since its introduction by Quenouille and Tukey is reviewed. Both its role in bias reduction and in robust interval estimation are treated. Some speculations and suggestions about future research are made. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b5e4ca065747b50460fd5938f5dd18
https://doi.org/10.1093/biomet/61.1.1
https://doi.org/10.1093/biomet/61.1.1
Autor:
Rupert G. Miller
Publikováno v:
Journal of the American Statistical Association. 72:779-788
This article contains a bibliography of papers on multiple comparisons between 1966 and 1976. A discussion of some of the more important developments during this period precedes the bibliography.
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b7afc17131183b04d5a05c22cd29d23
https://doi.org/10.1080/01621459.1977.10479955
https://doi.org/10.1080/01621459.1977.10479955