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Ross L. Prentice

Researcher at Fred Hutchinson Cancer Research Center

Publications -  407
Citations -  37908

Ross L. Prentice is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Breast cancer & Women's Health Initiative. The author has an hindex of 94, co-authored 407 publications receiving 33619 citations. Previous affiliations of Ross L. Prentice include Argonne National Laboratory & Radiation Effects Research Foundation.

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Design of the Women's Health Initiative clinical trial and observational study

Garnet L. Anderson, +98 more
- 01 Jan 1998 - 
TL;DR: The rationale for the interventions being studied in each of the CT components and for the inclusion of the OS component is described, including a brief description of the scientific and logistic complexity of the WHI.
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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson, +394 more
- 01 Oct 2015 - 
TL;DR: LDpred is introduced, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel, and outperforms the approach of pruning followed by thresholding, particularly at large sample sizes.
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Commentary on Andersen and Gill's "Cox's Regression Model for Counting Processes: A Large Sample Study"

Steven G. Self, +1 more
- 01 Dec 1982 - 
TL;DR: In this article, Andersen and Gill (hereafter AG) present a stimulating development of asymptotic distribution theory for the Cox regression model with time-dependent covariates, which involves such conditions as $\sigma$-algebra right continuity and predictable, locally bounded, covariate processes.
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Association analysis identifies 65 new breast cancer risk loci

Kyriaki Michailidou, +396 more
- 02 Nov 2017 - 
TL;DR: A genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry finds that heritability of Breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2–5-fold enriched relative to the genome- wide average.
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Correlated binary regression with covariates specific to each binary observation.

Ross L. Prentice
- 01 Dec 1988 - 
TL;DR: It is argued that binary response models that condition on some or all binary responses in a given "block" are useful for studying certain types of dependencies, but not for the estimation of marginal response probabilities or pairwise correlations.