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Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women.

Frontiers in genetics

Mozhui K, Snively BM, Rapp SR, Wallace RB, Williams RW, Johnson KC.
PMID: 28983317
Front Genet. 2017 Sep 21;8:127. doi: 10.3389/fgene.2017.00127. eCollection 2017.

Genes encoding mitochondrial ribosomal proteins (

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Mozhui K, Snively BM, Rapp SR, et al. Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women. Front Genet. 2017;8:127doi: 10.3389/fgene.2017.00127.
Mozhui, K., Snively, B. M., Rapp, S. R., Wallace, R. B., Williams, R. W., & Johnson, K. C. (2017). Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women. Frontiers in genetics, 8127. https://doi.org/10.3389/fgene.2017.00127
Mozhui, Khyobeni, et al. "Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women." Frontiers in genetics vol. 8 (2017): 127. doi: https://doi.org/10.3389/fgene.2017.00127
Mozhui K, Snively BM, Rapp SR, Wallace RB, Williams RW, Johnson KC. Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women. Front Genet. 2017 Sep 21;8:127. doi: 10.3389/fgene.2017.00127. eCollection 2017. PMID: 28983317; PMCID: PMC5613226.
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Body fat and breast cancer risk in postmenopausal women: a longitudinal study.

Journal of cancer epidemiology

Rohan TE, Heo M, Choi L, Datta M, Freudenheim JL, Kamensky V, Ochs-Balcom HM, Qi L, Thomson CA, Vitolins MZ, Wassertheil-Smoller S, Kabat GC.
PMID: 23690776
J Cancer Epidemiol. 2013;2013:754815. doi: 10.1155/2013/754815. Epub 2013 Apr 07.

Associations between anthropometric indices of obesity and breast cancer risk may fail to capture the true relationship between excess body fat and risk. We used dual-energy-X-ray-absorptiometry- (DXA-) derived measures of body fat obtained in the Women's Health Initiative to...

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Rohan TE, Heo M, Choi L, et al. Body fat and breast cancer risk in postmenopausal women: a longitudinal study. J Cancer Epidemiol. 2013;2013:754815doi: 10.1155/2013/754815.
Rohan, T. E., Heo, M., Choi, L., Datta, M., Freudenheim, J. L., Kamensky, V., Ochs-Balcom, H. M., Qi, L., Thomson, C. A., Vitolins, M. Z., Wassertheil-Smoller, S., & Kabat, G. C. (2013). Body fat and breast cancer risk in postmenopausal women: a longitudinal study. Journal of cancer epidemiology, 2013754815. https://doi.org/10.1155/2013/754815
Rohan, Thomas E, et al. "Body fat and breast cancer risk in postmenopausal women: a longitudinal study." Journal of cancer epidemiology vol. 2013 (2013): 754815. doi: https://doi.org/10.1155/2013/754815
Rohan TE, Heo M, Choi L, Datta M, Freudenheim JL, Kamensky V, Ochs-Balcom HM, Qi L, Thomson CA, Vitolins MZ, Wassertheil-Smoller S, Kabat GC. Body fat and breast cancer risk in postmenopausal women: a longitudinal study. J Cancer Epidemiol. 2013;2013:754815. doi: 10.1155/2013/754815. Epub 2013 Apr 07. PMID: 23690776; PMCID: PMC3649193.
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Hot Deck Multiple Imputation for Handling Missing Accelerometer Data.

Statistics in biosciences

Butera NM, Li S, Evenson KR, Di C, Buchner DM, LaMonte MJ, LaCroix AZ, Herring A.
PMID: 31447952
Stat Biosci. 2019 Jul;11(2):422-448. doi: 10.1007/s12561-018-9225-4. Epub 2018 Oct 29.

Missing data due to non-wear are common in accelerometer studies measuring physical activity and sedentary behavior. Accelerometer output are high-dimensional time-series data that are episodic and often highly skewed, presenting unique challenges for handling missing data. Common methods for...

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Butera NM, Li S, Evenson KR, et al. Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Stat Biosci. 2018;11(2):422-448doi: 10.1007/s12561-018-9225-4.
Butera, N. M., Li, S., Evenson, K. R., Di, C., Buchner, D. M., LaMonte, M. J., LaCroix, A. Z., & Herring, A. (2019). Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Statistics in biosciences, 11(2), 422-448. https://doi.org/10.1007/s12561-018-9225-4
Butera, Nicole M, et al. "Hot Deck Multiple Imputation for Handling Missing Accelerometer Data." Statistics in biosciences vol. 11,2 (2019): 422-448. doi: https://doi.org/10.1007/s12561-018-9225-4
Butera NM, Li S, Evenson KR, Di C, Buchner DM, LaMonte MJ, LaCroix AZ, Herring A. Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Stat Biosci. 2019 Jul;11(2):422-448. doi: 10.1007/s12561-018-9225-4. Epub 2018 Oct 29. PMID: 31447952; PMCID: PMC6707749.
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General and domain-specific cognitive reserve, mild cognitive impairment, and dementia risk in older women.

Alzheimer's & dementia (New York, N. Y.)

Petkus AJ, Resnick SM, Rapp SR, Espeland MA, Gatz M, Widaman KF, Wang X, Younan D, Casanova R, Chui H, Barnard RT, Gaussoin S, Goveas JS, Hayden KM, Henderson VW, Sachs BC, Saldana S, Shadyab AH, Shumaker SA, Chen JC.
PMID: 31011622
Alzheimers Dement (N Y). 2019 Apr 10;5:118-128. doi: 10.1016/j.trci.2019.02.003. eCollection 2019.

INTRODUCTION: In a geographically diverse sample of women, we asked whether cognitive reserve (CR) is best viewed as a general or cognitive domain-specific construct and whether some cognitive reserve domains but not others exert protective effects on risk of...

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Petkus AJ, Resnick SM, Rapp SR, et al. General and domain-specific cognitive reserve, mild cognitive impairment, and dementia risk in older women. Alzheimers Dement (N Y). 2019;5:118-128doi: 10.1016/j.trci.2019.02.003.
Petkus, A. J., Resnick, S. M., Rapp, S. R., Espeland, M. A., Gatz, M., Widaman, K. F., Wang, X., Younan, D., Casanova, R., Chui, H., Barnard, R. T., Gaussoin, S., Goveas, J. S., Hayden, K. M., Henderson, V. W., Sachs, B. C., Saldana, S., Shadyab, A. H., Shumaker, S. A., & Chen, J. C. (2019). General and domain-specific cognitive reserve, mild cognitive impairment, and dementia risk in older women. Alzheimer's & dementia (New York, N. Y.), 5118-128. https://doi.org/10.1016/j.trci.2019.02.003
Petkus, Andrew J, et al. "General and domain-specific cognitive reserve, mild cognitive impairment, and dementia risk in older women." Alzheimer's & dementia (New York, N. Y.) vol. 5 (2019): 118-128. doi: https://doi.org/10.1016/j.trci.2019.02.003
Petkus AJ, Resnick SM, Rapp SR, Espeland MA, Gatz M, Widaman KF, Wang X, Younan D, Casanova R, Chui H, Barnard RT, Gaussoin S, Goveas JS, Hayden KM, Henderson VW, Sachs BC, Saldana S, Shadyab AH, Shumaker SA, Chen JC. General and domain-specific cognitive reserve, mild cognitive impairment, and dementia risk in older women. Alzheimers Dement (N Y). 2019 Apr 10;5:118-128. doi: 10.1016/j.trci.2019.02.003. eCollection 2019. PMID: 31011622; PMCID: PMC6461572.
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Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Wang X, Su YR, Petersen PS, Bien S, Schmit SL, Drew DA, Albanes D, Berndt SI, Brenner H, Campbell PT, Casey G, Chang-Claude J, Gallinger SJ, Gruber SB, Haile RW, Harrison TA, Hoffmeister M, Jacobs EJ, Jenkins MA, Joshi AD, Li L, Lin Y, Lindor NM, Marchand LL, Martin V, Milne R, Maclnnis R, Moreno V, Nan H, Newcomb PA, Potter JD, Rennert G, Rennert H, Slattery ML, Thibodeau SN, Weinstein SJ, Woods MO, Chan AT, White E, Hsu L, Peters U.
PMID: 32651213
Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1800-1808. doi: 10.1158/1055-9965.EPI-19-1018. Epub 2020 Jul 10.

BACKGROUND: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk,...

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Wang X, Su YR, Petersen PS, et al. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 2020;29(9):1800-1808doi: 10.1158/1055-9965.EPI-19-1018.
Wang, X., Su, Y. R., Petersen, P. S., Bien, S., Schmit, S. L., Drew, D. A., Albanes, D., Berndt, S. I., Brenner, H., Campbell, P. T., Casey, G., Chang-Claude, J., Gallinger, S. J., Gruber, S. B., Haile, R. W., Harrison, T. A., Hoffmeister, M., Jacobs, E. J., Jenkins, M. A., Joshi, A. D., Li, L., Lin, Y., Lindor, N. M., Marchand, L. L., Martin, V., Milne, R., Maclnnis, R., Moreno, V., Nan, H., Newcomb, P. A., Potter, J. D., Rennert, G., Rennert, H., Slattery, M. L., Thibodeau, S. N., Weinstein, S. J., Woods, M. O., Chan, A. T., White, E., Hsu, L., & Peters, U. (2020). Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 29(9), 1800-1808. https://doi.org/10.1158/1055-9965.EPI-19-1018
Wang, Xiaoliang, et al. "Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 29,9 (2020): 1800-1808. doi: https://doi.org/10.1158/1055-9965.EPI-19-1018
Wang X, Su YR, Petersen PS, Bien S, Schmit SL, Drew DA, Albanes D, Berndt SI, Brenner H, Campbell PT, Casey G, Chang-Claude J, Gallinger SJ, Gruber SB, Haile RW, Harrison TA, Hoffmeister M, Jacobs EJ, Jenkins MA, Joshi AD, Li L, Lin Y, Lindor NM, Marchand LL, Martin V, Milne R, Maclnnis R, Moreno V, Nan H, Newcomb PA, Potter JD, Rennert G, Rennert H, Slattery ML, Thibodeau SN, Weinstein SJ, Woods MO, Chan AT, White E, Hsu L, Peters U. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1800-1808. doi: 10.1158/1055-9965.EPI-19-1018. Epub 2020 Jul 10. PMID: 32651213; PMCID: PMC7556991.
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Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Brasky TM, Flores KF, Larson JC, Newton AM, Shadyab AH, Watanabe JH, Lane DS, Thomson CA, LaCroix AZ.
PMID: 33627382
Cancer Epidemiol Biomarkers Prev. 2021 May;30(5):1029-1032. doi: 10.1158/1055-9965.EPI-20-1401. Epub 2021 Feb 24.

BACKGROUND: Use of angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB) has been postulated to reduce cancer risk by inhibition of tumor progression, vascularization, and metastasis. The renin-angiotensin system is upregulated in colorectal cancers; however, the association of...

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Brasky TM, Flores KF, Larson JC, et al. Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative. Cancer Epidemiol Biomarkers Prev. 2021;30(5):1029-1032doi: 10.1158/1055-9965.EPI-20-1401.
Brasky, T. M., Flores, K. F., Larson, J. C., Newton, A. M., Shadyab, A. H., Watanabe, J. H., Lane, D. S., Thomson, C. A., & LaCroix, A. Z. (2021). Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 30(5), 1029-1032. https://doi.org/10.1158/1055-9965.EPI-20-1401
Brasky, Theodore M, et al. "Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 30,5 (2021): 1029-1032. doi: https://doi.org/10.1158/1055-9965.EPI-20-1401
Brasky TM, Flores KF, Larson JC, Newton AM, Shadyab AH, Watanabe JH, Lane DS, Thomson CA, LaCroix AZ. Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative. Cancer Epidemiol Biomarkers Prev. 2021 May;30(5):1029-1032. doi: 10.1158/1055-9965.EPI-20-1401. Epub 2021 Feb 24. PMID: 33627382; PMCID: PMC8102324.
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Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study.

Cancer prevention research (Philadelphia, Pa.)

Jung SY, Scott PA, Papp JC, Sobel EM, Pellegrini M, Yu H, Han S, Zhang ZF.
PMID: 32928877
Cancer Prev Res (Phila). 2021 Jan;14(1):41-54. doi: 10.1158/1940-6207.CAPR-20-0256. Epub 2020 Sep 14.

Immune-related etiologic pathways to influence invasive breast cancer risk may interact with lifestyle factors, but the interrelated molecular genetic pathways are incompletely characterized. We used data from the Women's Health Initiative Database for Genotypes and Phenotypes Study including 16,088...

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Jung SY, Scott PA, Papp JC, et al. Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study. Cancer Prev Res (Phila). 2020;14(1):41-54doi: 10.1158/1940-6207.CAPR-20-0256.
Jung, S. Y., Scott, P. A., Papp, J. C., Sobel, E. M., Pellegrini, M., Yu, H., Han, S., & Zhang, Z. F. (2021). Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study. Cancer prevention research (Philadelphia, Pa.), 14(1), 41-54. https://doi.org/10.1158/1940-6207.CAPR-20-0256
Jung, Su Yon, et al. "Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study." Cancer prevention research (Philadelphia, Pa.) vol. 14,1 (2021): 41-54. doi: https://doi.org/10.1158/1940-6207.CAPR-20-0256
Jung SY, Scott PA, Papp JC, Sobel EM, Pellegrini M, Yu H, Han S, Zhang ZF. Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study. Cancer Prev Res (Phila). 2021 Jan;14(1):41-54. doi: 10.1158/1940-6207.CAPR-20-0256. Epub 2020 Sep 14. PMID: 32928877; PMCID: PMC7956151.
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A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported Outcomes.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America

Xu H, Gu X, Tadesse MG, Balasubramanian R.
PMID: 30766014
J Comput Graph Stat. 2018;27(4):763-772. doi: 10.1080/10618600.2018.1474115. Epub 2018 Aug 20.

We present an ensemble tree-based algorithm for variable selection in high dimensional datasets, in settings where a time-to-event outcome is observed with error. The proposed methods are motivated by self-reported outcomes collected in large-scale epidemiologic studies, such as the...

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Xu H, Gu X, Tadesse MG, et al. A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported Outcomes. J Comput Graph Stat. 2018;27(4):763-772doi: 10.1080/10618600.2018.1474115.
Xu, H., Gu, X., Tadesse, M. G., & Balasubramanian, R. (2018). A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported Outcomes. Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 27(4), 763-772. https://doi.org/10.1080/10618600.2018.1474115
Xu, Hui, et al. "A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported Outcomes." Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America vol. 27,4 (2018): 763-772. doi: https://doi.org/10.1080/10618600.2018.1474115
Xu H, Gu X, Tadesse MG, Balasubramanian R. A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported Outcomes. J Comput Graph Stat. 2018;27(4):763-772. doi: 10.1080/10618600.2018.1474115. Epub 2018 Aug 20. PMID: 30766014; PMCID: PMC6369914.
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Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative.

Journal of the American Statistical Association

Liu D, Zheng Y, Prentice RL, Hsu L.
PMID: 25018574
J Am Stat Assoc. 2014 Jun 01;109(506):514-524. doi: 10.1080/01621459.2014.881739.

Accurate and individualized risk prediction is critical for population control of chronic diseases such as cancer and cardiovascular disease. Large cohort studies provide valuable resources for building risk prediction models, as the risk factors are collected at the baseline...

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Liu D, Zheng Y, Prentice RL, et al. Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative. J Am Stat Assoc. 2014;109(506):514-524doi: 10.1080/01621459.2014.881739.
Liu, D., Zheng, Y., Prentice, R. L., & Hsu, L. (2014). Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative. Journal of the American Statistical Association, 109(506), 514-524. https://doi.org/10.1080/01621459.2014.881739
Liu, Dandan, et al. "Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative." Journal of the American Statistical Association vol. 109,506 (2014): 514-524. doi: https://doi.org/10.1080/01621459.2014.881739
Liu D, Zheng Y, Prentice RL, Hsu L. Estimating Risk with Time-to-Event Data: An Application to the Women's Health Initiative. J Am Stat Assoc. 2014 Jun 01;109(506):514-524. doi: 10.1080/01621459.2014.881739. PMID: 25018574; PMCID: PMC4091861.
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Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study.

BBA clinical

Mackey RH, McTigue KM, Chang YF, Barinas-Mitchell E, Evans RW, Tinker LF, Lewis CE, Manson JE, Stefanick ML, Howard BV, Phillips LS, Liu S, Kulick D, Kuller LH.
PMID: 25825692
BBA Clin. 2015 Jun;3:243-250. doi: 10.1016/j.bbacli.2015.03.005.

BACKGROUND: We hypothesized that higher concentrations of LDL particles (LDL-P) and leptin, and lower concentrations of HDL particles (HDL-P), and total and high molecular weight (HMW) adiponectin, would predict incident coronary heart disease (CHD) among severely obese postmenopausal women.METHODS:...

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Mackey RH, McTigue KM, Chang YF, et al. Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study. BBA Clin. 2015;3:243-250doi: 10.1016/j.bbacli.2015.03.005.
Mackey, R. H., McTigue, K. M., Chang, Y. F., Barinas-Mitchell, E., Evans, R. W., Tinker, L. F., Lewis, C. E., Manson, J. E., Stefanick, M. L., Howard, B. V., Phillips, L. S., Liu, S., Kulick, D., & Kuller, L. H. (2015). Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study. BBA clinical, 3243-250. https://doi.org/10.1016/j.bbacli.2015.03.005
Mackey, Rachel H, et al. "Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study." BBA clinical vol. 3 (2015): 243-250. doi: https://doi.org/10.1016/j.bbacli.2015.03.005
Mackey RH, McTigue KM, Chang YF, Barinas-Mitchell E, Evans RW, Tinker LF, Lewis CE, Manson JE, Stefanick ML, Howard BV, Phillips LS, Liu S, Kulick D, Kuller LH. Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study. BBA Clin. 2015 Jun;3:243-250. doi: 10.1016/j.bbacli.2015.03.005. PMID: 25825692; PMCID: PMC4375554.
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Menopausal hormone therapy and breast cancer mortality: clinical implications.

Therapeutic advances in drug safety

Chlebowski RT, Anderson GL.
PMID: 25922653
Ther Adv Drug Saf. 2015 Apr;6(2):45-56. doi: 10.1177/2042098614568300.

The Women's Health Initiative (WHI) has conducted two randomized, placebo-controlled clinical trials to evaluate the influence of menopausal hormone therapy on chronic disease risk. Estrogen plus progestin was evaluated in 16,608 postmenopausal women without prior hysterectomy during 5.6 years'...

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Chlebowski RT, Anderson GL. Menopausal hormone therapy and breast cancer mortality: clinical implications. Ther Adv Drug Saf. 2015;6(2):45-56doi: 10.1177/2042098614568300.
Chlebowski, R. T., & Anderson, G. L. (2015). Menopausal hormone therapy and breast cancer mortality: clinical implications. Therapeutic advances in drug safety, 6(2), 45-56. https://doi.org/10.1177/2042098614568300
Chlebowski, Rowan T, and Anderson, Garnet L. "Menopausal hormone therapy and breast cancer mortality: clinical implications." Therapeutic advances in drug safety vol. 6,2 (2015): 45-56. doi: https://doi.org/10.1177/2042098614568300
Chlebowski RT, Anderson GL. Menopausal hormone therapy and breast cancer mortality: clinical implications. Ther Adv Drug Saf. 2015 Apr;6(2):45-56. doi: 10.1177/2042098614568300. PMID: 25922653; PMCID: PMC4406918.
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PM.

Neurology

Younan D, Wang X, Casanova R, Barnard R, Gaussoin SA, Saldana S, Petkus AJ, Beavers DP, Resnick SM, Manson JE, Serre ML, Vizuete W, Henderson VW, Sachs BC, Salinas JA, Gatz M, Espeland MA, Chui HC, Shumaker SA, Rapp SR, Chen JC.
PMID: 33208540
Neurology. 2020 Nov 18; doi: 10.1212/WNL.0000000000011149. Epub 2020 Nov 18.

OBJECTIVE: To examine whether late-life exposure to PMMETHODS: AD pattern similarity (AD-PS) scores, developed by supervised machine learning and validated with MRI data from the AD Neuroimaging Initiative, was used to capture high-dimensional gray matter atrophy in brain areas...

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Younan D, Wang X, Casanova R, et al. PM. Neurology. 2020;doi: 10.1212/WNL.0000000000011149.
Younan, D., Wang, X., Casanova, R., Barnard, R., Gaussoin, S. A., Saldana, S., Petkus, A. J., Beavers, D. P., Resnick, S. M., Manson, J. E., Serre, M. L., Vizuete, W., Henderson, V. W., Sachs, B. C., Salinas, J. A., Gatz, M., Espeland, M. A., Chui, H. C., Shumaker, S. A., Rapp, S. R., Chen, J. C. (2020). PM. Neurology, . https://doi.org/10.1212/WNL.0000000000011149
Younan, Diana, et al. "PM." Neurology vol. (2020). doi: https://doi.org/10.1212/WNL.0000000000011149
Younan D, Wang X, Casanova R, Barnard R, Gaussoin SA, Saldana S, Petkus AJ, Beavers DP, Resnick SM, Manson JE, Serre ML, Vizuete W, Henderson VW, Sachs BC, Salinas JA, Gatz M, Espeland MA, Chui HC, Shumaker SA, Rapp SR, Chen JC. PM. Neurology. 2020 Nov 18; doi: 10.1212/WNL.0000000000011149. Epub 2020 Nov 18. PMID: 33208540; PMCID: PMC8055348.
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Showing 1 to 12 of 45 entries