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Evaluating the evidence base: Policies and interventions to address socioeconomic status gradients in healtha

Stem education interventions

Adler NE, Schoeni RF.
GSID: Q9iPlPtlpzAJ
WH Dow, RF Schoeni, NE Adler… - Annals of the New York …, 2010 - Wiley Online Library

… interventions in reducing those gradients. Given the difficulty in developing randomized evidence for many types of interventions … to classify policies and interventions that could reduce …

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Dow, W. H., Schoeni, R. F., Adler, N. E., & Stewart, J. (2010). Evaluating the evidence base: Policies and interventions to address socioeconomic status gradients in healtha. Annals of the New York Academy of Sciences, 1186(1), 240-251.
Dow, William H., et al. "Evaluating the evidence base: Policies and interventions to address socioeconomic status gradients in healtha." Annals of the New York Academy of Sciences 1186.1 (2010): 240-251.
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Between a growth and a fixed mindset: Examining nuances in 3rd-grade students' mathematics intelligence mindsets

Growth Mindset STEM Intervention

Barroso C, Ganley CM, Schoen RC.
GSID: tw0ZPbskaBQJ
C Barroso, CM Ganley, RC Schoen… - Contemporary …, 2023 - Elsevier

… ” intelligence mindsets, alongside fixed and growth mindsets in … student’s interest to pursue STEM careers. Despite this, … intelligence mindsets, growth mindset interventions have been …

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Barroso, Connie, et al. "Between a growth and a fixed mindset: Examining nuances in 3rd-grade students’ mathematics intelligence mindsets." Contemporary Educational Psychology 73 (2023): 102179.
Barroso C. et al. Between a growth and a fixed mindset: Examining nuances in 3rd-grade students’ mathematics intelligence mindsets //Contemporary Educational Psychology. – 2023. – Т. 73. – С. 102179.
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Socioeconomic status and substance use among young adults: a comparison across constructs and drugs

socioeconomic status & related terms (e.g., low income)

Patrick ME, Schoeni RF.
GSID: rBHyClV5GQkJ
ME Patrick, P Wightman, RF Schoeni… - Journal of studies on …, 2012 - jsad.com

… On the other hand, lower income may be related to substance … For example, the top income quartile includes households … SES—income, wealth, and parental education—in terms of the …

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Patrick, M. E., Wightman, P., Schoeni, R. F., & Schulenberg, J. E. (2012). Socioeconomic status and substance use among young adults: a comparison across constructs and drugs. Journal of studies on alcohol and drugs, 73(5), 772-782.
Patrick, Megan E., et al. "Socioeconomic status and substance use among young adults: a comparison across constructs and drugs." Journal of studies on alcohol and drugs 73.5 (2012): 772-782.
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Principles of medical ethics.

Arizona medicine

Schoen RF.
PMID: 5980706
Ariz Med. 1966 Dec;23(12):941.

No abstract available.

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Schoen RF. Principles of medical ethics. Ariz Med. 1966;23(12):941
Schoen, R. F. (1966). Principles of medical ethics. Arizona medicine, 23(12), 941.
Schoen, R F. "Principles of medical ethics." Arizona medicine vol. 23,12 (1966): 941.
Schoen RF. Principles of medical ethics. Ariz Med. 1966 Dec;23(12):941. PMID: 5980706.
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Hierarchical multistate models from population data: an application to parity statuses.

PeerJ

Schoen R.
PMID: 27703867
PeerJ. 2016 Sep 29;4:e2535. doi: 10.7717/peerj.2535. eCollection 2016.

Hierarchical models are characterized by having

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Schoen R. Hierarchical multistate models from population data: an application to parity statuses. PeerJ. 2016;4:e2535doi: 10.7717/peerj.2535.
Schoen, R. (2016). Hierarchical multistate models from population data: an application to parity statuses. PeerJ, 4e2535. https://doi.org/10.7717/peerj.2535
Schoen, Robert. "Hierarchical multistate models from population data: an application to parity statuses." PeerJ vol. 4 (2016): e2535. doi: https://doi.org/10.7717/peerj.2535
Schoen R. Hierarchical multistate models from population data: an application to parity statuses. PeerJ. 2016 Sep 29;4:e2535. doi: 10.7717/peerj.2535. eCollection 2016. PMID: 27703867; PMCID: PMC5047220.
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Assessing the need for a new nationally representative household panel survey in the United States.

Journal of economic and social measurement

Moffitt R, Schoeni RF, Brown C, Chase-Lansdale PL, Couper MP, Diez-Roux AV, Hurst E, Seltzer JA.
PMID: 26688609
J Econ Soc Meas. 2015;40(1):1-26. doi: 10.3233/JEM-150411.

We introduce this special issue on the critical matter of whether the existing household panel surveys in the U.S. are adequate to address the important emerging social science and policy questions of the next few decades. We summarize the...

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Moffitt R, Schoeni RF, Brown C, et al. Assessing the need for a new nationally representative household panel survey in the United States. J Econ Soc Meas. 2015;40(1):1-26doi: 10.3233/JEM-150411.
Moffitt, R., Schoeni, R. F., Brown, C., Chase-Lansdale, P. L., Couper, M. P., Diez-Roux, A. V., Hurst, E., & Seltzer, J. A. (2015). Assessing the need for a new nationally representative household panel survey in the United States. Journal of economic and social measurement, 40(1), 1-26. https://doi.org/10.3233/JEM-150411
Moffitt, Robert, et al. "Assessing the need for a new nationally representative household panel survey in the United States." Journal of economic and social measurement vol. 40,1 (2015): 1-26. doi: https://doi.org/10.3233/JEM-150411
Moffitt R, Schoeni RF, Brown C, Chase-Lansdale PL, Couper MP, Diez-Roux AV, Hurst E, Seltzer JA. Assessing the need for a new nationally representative household panel survey in the United States. J Econ Soc Meas. 2015;40(1):1-26. doi: 10.3233/JEM-150411. PMID: 26688609; PMCID: PMC4678926.
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Measuring Wealth and Wealth Inequality: Comparing Two U.S. Surveys.

Journal of economic and social measurement

Pfeffer FT, Schoeni RF, Kennickell A, Andreski P.
PMID: 27942105
J Econ Soc Meas. 2016;41(2):103-120. doi: 10.3233/JEM-160421. Epub 2016 Jun 21.

Household wealth and its distribution are topics of broad public debate and increasing scholarly interest. We compare the relative strength of two of the main data sources used in research on the wealth holdings of U.S. households, the Survey...

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Pfeffer FT, Schoeni RF, Kennickell A, et al. Measuring Wealth and Wealth Inequality: Comparing Two U.S. Surveys. J Econ Soc Meas. 2016;41(2):103-120doi: 10.3233/JEM-160421.
Pfeffer, F. T., Schoeni, R. F., Kennickell, A., & Andreski, P. (2016). Measuring Wealth and Wealth Inequality: Comparing Two U.S. Surveys. Journal of economic and social measurement, 41(2), 103-120. https://doi.org/10.3233/JEM-160421
Pfeffer, Fabian T, et al. "Measuring Wealth and Wealth Inequality: Comparing Two U.S. Surveys." Journal of economic and social measurement vol. 41,2 (2016): 103-120. doi: https://doi.org/10.3233/JEM-160421
Pfeffer FT, Schoeni RF, Kennickell A, Andreski P. Measuring Wealth and Wealth Inequality: Comparing Two U.S. Surveys. J Econ Soc Meas. 2016;41(2):103-120. doi: 10.3233/JEM-160421. Epub 2016 Jun 21. PMID: 27942105; PMCID: PMC5145259.
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[Rudolf JUERGENS].

Die Medizinische Welt

SCHOEN R.
PMID: 13748367
Med Welt. 1961 May 06;18:990-2.

No abstract available.

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SCHOEN R. [Rudolf JUERGENS]. Med Welt. 1961;18:990-2
SCHOEN, R. (1961). [Rudolf JUERGENS]. Die Medizinische Welt, 18990-2.
SCHOEN, R. "[Rudolf JUERGENS]." Die Medizinische Welt vol. 18 (1961): 990-2.
SCHOEN R. [Rudolf JUERGENS]. Med Welt. 1961 May 06;18:990-2. German. PMID: 13748367.
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Model-based neural network for target detection in SAR images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Perlovsky LI, Schoendorf WH, Burdick BJ, Tye DM.
PMID: 18282889
IEEE Trans Image Process. 1997;6(1):203-16. doi: 10.1109/83.552107.

A controversial issue in the research of mathematics of intelligence has been that of the roles of a priori knowledge versus adaptive learning. After discussing mathematical difficulties of combining a priority with adaptivity encountered in the past, we introduce...

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Perlovsky LI, Schoendorf WH, Burdick BJ, et al. Model-based neural network for target detection in SAR images. IEEE Trans Image Process. 1997;6(1):203-16doi: 10.1109/83.552107.
Perlovsky, L. I., Schoendorf, W. H., Burdick, B. J., & Tye, D. M. (1997). Model-based neural network for target detection in SAR images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 6(1), 203-16. https://doi.org/10.1109/83.552107
Perlovsky, L I, et al. "Model-based neural network for target detection in SAR images." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 6,1 (1997): 203-16. doi: https://doi.org/10.1109/83.552107
Perlovsky LI, Schoendorf WH, Burdick BJ, Tye DM. Model-based neural network for target detection in SAR images. IEEE Trans Image Process. 1997;6(1):203-16. doi: 10.1109/83.552107. PMID: 18282889.
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Evaluating the evidence base: policies and interventions to address socioeconomic status gradients in health.

Annals of the New York Academy of Sciences

Dow WH, Schoeni RF, Adler NE, Stewart J.
PMID: 20201876
Ann N Y Acad Sci. 2010 Feb;1186:240-51. doi: 10.1111/j.1749-6632.2009.05386.x.

This chapter discusses the current evidence base for policies that could address socioeconomic status (SES) health gradients in the United States. The present volume has documented an enormous amount of research on the linkages between SES and health, but...

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Dow WH, Schoeni RF, Adler NE, et al. Evaluating the evidence base: policies and interventions to address socioeconomic status gradients in health. Ann N Y Acad Sci. 2010;1186:240-51doi: 10.1111/j.1749-6632.2009.05386.x.
Dow, W. H., Schoeni, R. F., Adler, N. E., & Stewart, J. (2010). Evaluating the evidence base: policies and interventions to address socioeconomic status gradients in health. Annals of the New York Academy of Sciences, 1186240-51. https://doi.org/10.1111/j.1749-6632.2009.05386.x
Dow, William H, et al. "Evaluating the evidence base: policies and interventions to address socioeconomic status gradients in health." Annals of the New York Academy of Sciences vol. 1186 (2010): 240-51. doi: https://doi.org/10.1111/j.1749-6632.2009.05386.x
Dow WH, Schoeni RF, Adler NE, Stewart J. Evaluating the evidence base: policies and interventions to address socioeconomic status gradients in health. Ann N Y Acad Sci. 2010 Feb;1186:240-51. doi: 10.1111/j.1749-6632.2009.05386.x. PMID: 20201876.
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Overtraining Syndrome: Why Training too Hard, too Long, Doesn't Work.

The Physician and sportsmedicine

Hawley CJ, Schoene RB.
PMID: 20086480
Phys Sportsmed. 2003 Jun;31(6):47-8. doi: 10.3810/psm.2003.06.415.

You've been feeling exhausted, achy, edgy, and burned out. Worse yet, your personal relationships are suffering and you're stressed over so many demands on your time. On top of that, your athletic performance has "hit the wall," and you...

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Hawley CJ, Schoene RB. Overtraining Syndrome: Why Training too Hard, too Long, Doesn't Work. Phys Sportsmed. 2003;31(6):47-8doi: 10.3810/psm.2003.06.415.
Hawley, C. J., & Schoene, R. B. (2003). Overtraining Syndrome: Why Training too Hard, too Long, Doesn't Work. The Physician and sportsmedicine, 31(6), 47-8. https://doi.org/10.3810/psm.2003.06.415
Hawley, Christopher J, and Schoene, Robert B. "Overtraining Syndrome: Why Training too Hard, too Long, Doesn't Work." The Physician and sportsmedicine vol. 31,6 (2003): 47-8. doi: https://doi.org/10.3810/psm.2003.06.415
Hawley CJ, Schoene RB. Overtraining Syndrome: Why Training too Hard, too Long, Doesn't Work. Phys Sportsmed. 2003 Jun;31(6):47-8. doi: 10.3810/psm.2003.06.415. PMID: 20086480.
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Analysis of .

Oncotarget

Zajac M, Dolnik A, Stasiak G, Zaleska J, Kielbus M, Czapinski J, Schunn M, Correa SC, Glodkowska-Mrowka E, Sundaram RC, Jankowska-Lecka O, Schlenk RF, Döhner H, Döhner K, Stepulak A, Bullinger L, Giannopoulos K.
PMID: 29221119
Oncotarget. 2017 Aug 03;8(56):95163-95175. doi: 10.18632/oncotarget.19871. eCollection 2017 Nov 10.

Mutations of the nucleophosmin-1 (

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Zajac M, Dolnik A, Stasiak G, et al. Analysis of . Oncotarget. 2017;8(56):95163-95175doi: 10.18632/oncotarget.19871.
Zajac, M., Dolnik, A., Stasiak, G., Zaleska, J., Kielbus, M., Czapinski, J., Schunn, M., Correa, S. C., Glodkowska-Mrowka, E., Sundaram, R. C., Jankowska-Lecka, O., Schlenk, R. F., Döhner, H., Döhner, K., Stepulak, A., Bullinger, L., & Giannopoulos, K. (2017). Analysis of . Oncotarget, 8(56), 95163-95175. https://doi.org/10.18632/oncotarget.19871
Zajac, Malgorzata, et al. "Analysis of ." Oncotarget vol. 8,56 (2017): 95163-95175. doi: https://doi.org/10.18632/oncotarget.19871
Zajac M, Dolnik A, Stasiak G, Zaleska J, Kielbus M, Czapinski J, Schunn M, Correa SC, Glodkowska-Mrowka E, Sundaram RC, Jankowska-Lecka O, Schlenk RF, Döhner H, Döhner K, Stepulak A, Bullinger L, Giannopoulos K. Analysis of . Oncotarget. 2017 Aug 03;8(56):95163-95175. doi: 10.18632/oncotarget.19871. eCollection 2017 Nov 10. PMID: 29221119; PMCID: PMC5707013.
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Showing 1 to 12 of 154 entries