Daniel Schmidt - Dissemin

All papers authored by Daniel Schmidt

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2024 Slawek Smyl

, Christoph Bergmeir

, Alexander Dokumentov

, Xueying Long, Erwin Wibowo, Daniel Schmidt

Local and global trend Bayesian exponential smoothing models

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Table S3 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Table S4 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Figure S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Data from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Table S2 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Table S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt

, Enes Makalic, Osamah M. Al Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

Supplementary Methods S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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2023 Zhoufeng Ye

, Gillian S. Dite

, Tuong L. Nguyen

, Robert J. MacInnis

, Daniel F. Schmidt

, Enes Makalic

, Osamah M. Al-Qershi

, Tu Nguyen-Dumont

, Benjamin Goudey

, Jennifer Stone

, James G. Dowty

, Graham G. Giles

, Melissa C. Southey

, John L. Hopper

, Shuai Li

Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

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Distributing this paper is prohibited by the publisher

Enes Makalic

, Daniel F. Schmidt

Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

, Miroslaw K. Kapuscinski, Karen Alpen, Robert J. MacInnis, Daniel D. Buchanan, Aung K. Win, Jane C. Figueiredo, Andrew T. Chan, Tabitha A. Harrison, Michael Hoffmeister, Emily White, Loic Le Marchand, Rish K. Pai and 4 other authors

Figure S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S5 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Figure S4 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Figure S2 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S6 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S4 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S8 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Figure S1 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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John Lai, Chi Kuen Wong, Daniel F. Schmidt

Table S11 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

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All papers authored by Daniel Schmidt