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G Baker

Showing results (71-80 of 1,922) with videos related to

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Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology|October 15, 2011
TOFT better explains experimental results in cancer research than SMT (comment on DOI 10.1002/bies.201100025 and DOI 10.1002/bies.201100022)Stuart G Baker
Biometrics|December 17, 2013
Letter to the editor: "Comment on Hubbard and Miglioretti (2013), consider also a selection model for the cumulative risk of false positive screening tests"Stuart G Baker
Pharmacology Research & Perspectives|January 4, 2026
Comparing the Molecular Pharmacological Properties of Existing β-Blockers to Determine the Theoretically Most "Ideal" Anti-Cancer β-BlockerJillian G Baker
Carcinogenesis|June 15, 2021
The case for a cancer paradox initiativeStuart G Baker
Statistics in Medicine|August 9, 2019
Maximum likelihood estimation with missing outcomes: From simplicity to complexityStuart G Baker
Clinical Trials (London, England)|May 22, 2014
Principal stratification: All-or-none versus partial complianceStuart G Baker
Biometrics|September 28, 2012
Comment on Nie et al. (2011), biometrics, early viewStuart G Baker
CA: a Cancer Journal for Clinicians|March 1, 1972
Evaluating new antineoplastic agentsC G Baker
Annals of Internal Medicine|April 21, 2018
Reconciling the Effects of Screening on Prostate Cancer Mortality in the ERSPC and PLCO TrialsStuart G Baker
Statistics in Medicine|December 14, 2020
Modeling the mean time to interval cancer after negative results of periodic cancer screeningStuart G Baker
Pageof 193

Showing results (71-80 of 1,922) with videos related to

Sort By:
Pageof 193
Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology|October 15, 2011
TOFT better explains experimental results in cancer research than SMT (comment on DOI 10.1002/bies.201100025 and DOI 10.1002/bies.201100022)Stuart G Baker
Biometrics|December 17, 2013
Letter to the editor: "Comment on Hubbard and Miglioretti (2013), consider also a selection model for the cumulative risk of false positive screening tests"Stuart G Baker
Pharmacology Research & Perspectives|January 4, 2026
Comparing the Molecular Pharmacological Properties of Existing β-Blockers to Determine the Theoretically Most "Ideal" Anti-Cancer β-BlockerJillian G Baker
Carcinogenesis|June 15, 2021
The case for a cancer paradox initiativeStuart G Baker
Statistics in Medicine|August 9, 2019
Maximum likelihood estimation with missing outcomes: From simplicity to complexityStuart G Baker
Clinical Trials (London, England)|May 22, 2014
Principal stratification: All-or-none versus partial complianceStuart G Baker
Biometrics|September 28, 2012
Comment on Nie et al. (2011), biometrics, early viewStuart G Baker
CA: a Cancer Journal for Clinicians|March 1, 1972
Evaluating new antineoplastic agentsC G Baker
Annals of Internal Medicine|April 21, 2018
Reconciling the Effects of Screening on Prostate Cancer Mortality in the ERSPC and PLCO TrialsStuart G Baker
Statistics in Medicine|December 14, 2020
Modeling the mean time to interval cancer after negative results of periodic cancer screeningStuart G Baker
Pageof 193