Scandinavian journal of statistics, theory and applications
Demidenko E.
PMID: 29033489
Scand Stat Theory Appl. 2017 Sep;44(3):636-665. doi: 10.1111/sjos.12269. Epub 2017 Mar 29.
The exact density distribution of the nonlinear least squares estimator in the one-parameter regression model is derived in closed form and expressed through the cumulative distribution function of the standard normal variable. Several proposals to generalize this result are...
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Demidenko E. Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach. Scand Stat Theory Appl. 2017;44(3):636-665doi: 10.1111/sjos.12269.
Demidenko, E. (2017). Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach. Scandinavian journal of statistics, theory and applications, 44(3), 636-665. https://doi.org/10.1111/sjos.12269
Demidenko, Eugene. "Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach." Scandinavian journal of statistics, theory and applications vol. 44,3 (2017): 636-665. doi: https://doi.org/10.1111/sjos.12269
Demidenko E. Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach. Scand Stat Theory Appl. 2017 Sep;44(3):636-665. doi: 10.1111/sjos.12269. Epub 2017 Mar 29. PMID: 29033489; PMCID: PMC5638165.
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BMC bioinformatics
Frost HR, Amos CI.
PMID: 30541428
BMC Bioinformatics. 2018 Dec 12;19(1):479. doi: 10.1186/s12859-018-2476-8.
BACKGROUND: Cancer develops when pathways controlling cell survival, cell fate or genome maintenance are disrupted by the somatic alteration of key driver genes. Understanding how pathway disruption is driven by somatic alterations is thus essential for an accurate characterization...
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Frost HR, Amos CI. A multi-omics approach for identifying important pathways and genes in human cancer. BMC Bioinformatics. 2018;19(1):479doi: 10.1186/s12859-018-2476-8.
Frost, H. R., & Amos, C. I. (2018). A multi-omics approach for identifying important pathways and genes in human cancer. BMC bioinformatics, 19(1), 479. https://doi.org/10.1186/s12859-018-2476-8
Frost, H Robert, and Amos, Christopher I. "A multi-omics approach for identifying important pathways and genes in human cancer." BMC bioinformatics vol. 19,1 (2018): 479. doi: https://doi.org/10.1186/s12859-018-2476-8
Frost HR, Amos CI. A multi-omics approach for identifying important pathways and genes in human cancer. BMC Bioinformatics. 2018 Dec 12;19(1):479. doi: 10.1186/s12859-018-2476-8. PMID: 30541428; PMCID: PMC6292115.
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