Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 49 entries
Sorted by: Best Match Show Resources per page
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 (

Cite
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.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
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,...

Cite
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.
Copy Download .nbib Format: NLM
Biomarkers, menopausal hormone therapy and risk of venous thrombosis: The Women's Health Initiative.

Research and practice in thrombosis and haemostasis

Cushman M, Larson JC, Rosendaal FR, Heckbert SR, Curb JD, Phillips LS, Baird AE, Eaton CB, Stafford RS.
PMID: 30046733
Res Pract Thromb Haemost. 2018 Apr 17;2(2):310-319. doi: 10.1002/rth2.12100. eCollection 2018 Apr.

BACKGROUND: Oral menopausal hormone therapy causes venous thrombosis but whether biomarkers of thrombosis risk can identify women at risk is unknown.METHODS: We completed a nested case control study in the two Women's Health Initiative hormone trials; 27 347 women...

Cite
Cushman M, Larson JC, Rosendaal FR, et al. Biomarkers, menopausal hormone therapy and risk of venous thrombosis: The Women's Health Initiative. Res Pract Thromb Haemost. 2018;2(2):310-319doi: 10.1002/rth2.12100.
Cushman, M., Larson, J. C., Rosendaal, F. R., Heckbert, S. R., Curb, J. D., Phillips, L. S., Baird, A. E., Eaton, C. B., & Stafford, R. S. (2018). Biomarkers, menopausal hormone therapy and risk of venous thrombosis: The Women's Health Initiative. Research and practice in thrombosis and haemostasis, 2(2), 310-319. https://doi.org/10.1002/rth2.12100
Cushman, Mary, et al. "Biomarkers, menopausal hormone therapy and risk of venous thrombosis: The Women's Health Initiative." Research and practice in thrombosis and haemostasis vol. 2,2 (2018): 310-319. doi: https://doi.org/10.1002/rth2.12100
Cushman M, Larson JC, Rosendaal FR, Heckbert SR, Curb JD, Phillips LS, Baird AE, Eaton CB, Stafford RS. Biomarkers, menopausal hormone therapy and risk of venous thrombosis: The Women's Health Initiative. Res Pract Thromb Haemost. 2018 Apr 17;2(2):310-319. doi: 10.1002/rth2.12100. eCollection 2018 Apr. PMID: 30046733; PMCID: PMC5974918.
Copy Download .nbib Format: NLM
DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women.

Mayo Clinic proceedings

Laddu DR, Qin F, Hedlin H, Stefanick ML, Manson JE, Zaslavsky O, Eaton C, Martin LW, Rohan T, Assimes TL.
PMID: 34479738
Mayo Clin Proc. 2021 Nov;96(11):2831-2842. doi: 10.1016/j.mayocp.2021.04.027. Epub 2021 Aug 31.

OBJECTIVE: To investigate whether dual-energy x-ray absorptiometry (DXA) estimates of adiposity improve risk prediction for cardiometabolic diseases over traditional surrogates, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) in older women.PATIENTS AND METHODS: We analyzed up...

Cite
Laddu DR, Qin F, Hedlin H, et al. DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women. Mayo Clin Proc. 2021;96(11):2831-2842doi: 10.1016/j.mayocp.2021.04.027.
Laddu, D. R., Qin, F., Hedlin, H., Stefanick, M. L., Manson, J. E., Zaslavsky, O., Eaton, C., Martin, L. W., Rohan, T., & Assimes, T. L. (2021). DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women. Mayo Clinic proceedings, 96(11), 2831-2842. https://doi.org/10.1016/j.mayocp.2021.04.027
Laddu, Deepika R, et al. "DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women." Mayo Clinic proceedings vol. 96,11 (2021): 2831-2842. doi: https://doi.org/10.1016/j.mayocp.2021.04.027
Laddu DR, Qin F, Hedlin H, Stefanick ML, Manson JE, Zaslavsky O, Eaton C, Martin LW, Rohan T, Assimes TL. DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women. Mayo Clin Proc. 2021 Nov;96(11):2831-2842. doi: 10.1016/j.mayocp.2021.04.027. Epub 2021 Aug 31. PMID: 34479738; PMCID: PMC8570974.
Copy Download .nbib Format: NLM
Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction.

Human molecular genetics

Palmer ND, Kahali B, Kuppa A, Chen Y, Du X, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YI, Taylor KD, Correa A, Crudup BF, Halligan B, Yang J, Kardia SLR, Launer LJ, Fu YP, Mosley TH, Norris JM, Terry JG, O'Donnell CJ, Rotter JI, Wagenknecht LE, Gudnason V, Province MA, Peyser PA, Speliotes EK.
PMID: 33856023
Hum Mol Genet. 2021 Jul 09;30(15):1443-1456. doi: 10.1093/hmg/ddab096.

Nonalcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease and is highly correlated with metabolic disease. NAFLD results from environmental exposures acting on a susceptible polygenic background. This study performed the largest multiethnic investigation of...

Cite
Palmer ND, Kahali B, Kuppa A, et al. Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Hum Mol Genet. 2021;30(15):1443-1456doi: 10.1093/hmg/ddab096.
Palmer, N. D., Kahali, B., Kuppa, A., Chen, Y., Du, X., Feitosa, M. F., Bielak, L. F., O'Connell, J. R., Musani, S. K., Guo, X., Smith, A. V., Ryan, K. A., Eirksdottir, G., Allison, M. A., Bowden, D. W., Budoff, M. J., Carr, J. J., Chen, Y. I., Taylor, K. D., Correa, A., Crudup, B. F., Halligan, B., Yang, J., Kardia, S. L. R., Launer, L. J., Fu, Y. P., Mosley, T. H., Norris, J. M., Terry, J. G., O'Donnell, C. J., Rotter, J. I., Wagenknecht, L. E., Gudnason, V., Province, M. A., Peyser, P. A., & Speliotes, E. K. (2021). Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Human molecular genetics, 30(15), 1443-1456. https://doi.org/10.1093/hmg/ddab096
Palmer, Nicholette D, et al. "Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction." Human molecular genetics vol. 30,15 (2021): 1443-1456. doi: https://doi.org/10.1093/hmg/ddab096
Palmer ND, Kahali B, Kuppa A, Chen Y, Du X, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YI, Taylor KD, Correa A, Crudup BF, Halligan B, Yang J, Kardia SLR, Launer LJ, Fu YP, Mosley TH, Norris JM, Terry JG, O'Donnell CJ, Rotter JI, Wagenknecht LE, Gudnason V, Province MA, Peyser PA, Speliotes EK. Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Hum Mol Genet. 2021 Jul 09;30(15):1443-1456. doi: 10.1093/hmg/ddab096. PMID: 33856023; PMCID: PMC8283205.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
Postmenopausal Fracture History and Survival After Reproductive Cancer Diagnosis.

JNCI cancer spectrum

Newcomb PA, Adams SV, Mayer S, Passarelli MN, Tinker L, Lane D, Chlebowski RT, Crandall CJ.
PMID: 31355356
JNCI Cancer Spectr. 2018 Jan;2(1):pky001. doi: 10.1093/jncics/pky001. Epub 2018 Mar 21.

BACKGROUND: Postmenopausal bone fracture's have been proposed as a marker of lifetime estrogen exposure and have been associated with decreased risk of breast and endometrial cancer. It is plausible that prediagnostic fractures may be related to survival of estrogen-sensitive...

Cite
Newcomb PA, Adams SV, Mayer S, et al. Postmenopausal Fracture History and Survival After Reproductive Cancer Diagnosis. JNCI Cancer Spectr. 2018;2(1):pky001doi: 10.1093/jncics/pky001.
Newcomb, P. A., Adams, S. V., Mayer, S., Passarelli, M. N., Tinker, L., Lane, D., Chlebowski, R. T., & Crandall, C. J. (2018). Postmenopausal Fracture History and Survival After Reproductive Cancer Diagnosis. JNCI cancer spectrum, 2(1), pky001. https://doi.org/10.1093/jncics/pky001
Newcomb, Polly A, et al. "Postmenopausal Fracture History and Survival After Reproductive Cancer Diagnosis." JNCI cancer spectrum vol. 2,1 (2018): pky001. doi: https://doi.org/10.1093/jncics/pky001
Newcomb PA, Adams SV, Mayer S, Passarelli MN, Tinker L, Lane D, Chlebowski RT, Crandall CJ. Postmenopausal Fracture History and Survival After Reproductive Cancer Diagnosis. JNCI Cancer Spectr. 2018 Jan;2(1):pky001. doi: 10.1093/jncics/pky001. Epub 2018 Mar 21. PMID: 31355356; PMCID: PMC6643753.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 49 entries