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A comprehensive open-source library for exact required sample size in binary clinical trials.

Contemporary clinical trials

Lloyd CJ, Ripamonti E.
PMID: 34166840
Contemp Clin Trials. 2021 Aug;107:106491. doi: 10.1016/j.cct.2021.106491. Epub 2021 Jun 22.

We describe how we are creating a new and comprehensive R library solving the problem of exact sample size determination of RCTs. A crucial prerequisite for the trial protocol is a priori sample sizes that bound the test size...

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Lloyd CJ, Ripamonti E. A comprehensive open-source library for exact required sample size in binary clinical trials. Contemp Clin Trials. 2021;107:106491doi: 10.1016/j.cct.2021.106491.
Lloyd, C. J., & Ripamonti, E. (2021). A comprehensive open-source library for exact required sample size in binary clinical trials. Contemporary clinical trials, 107106491. https://doi.org/10.1016/j.cct.2021.106491
Lloyd, Chris J, and Ripamonti, Enrico. "A comprehensive open-source library for exact required sample size in binary clinical trials." Contemporary clinical trials vol. 107 (2021): 106491. doi: https://doi.org/10.1016/j.cct.2021.106491
Lloyd CJ, Ripamonti E. A comprehensive open-source library for exact required sample size in binary clinical trials. Contemp Clin Trials. 2021 Aug;107:106491. doi: 10.1016/j.cct.2021.106491. Epub 2021 Jun 22. PMID: 34166840.
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Garnering Referees for Women for Academic Promotion.

Academic medicine : journal of the Association of American Medical Colleges

Friedman KA.
PMID: 34183484
Acad Med. 2021 Jul 01;96(7):935. doi: 10.1097/ACM.0000000000004081.

No abstract available.

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Friedman KA. Garnering Referees for Women for Academic Promotion. Acad Med. 2021;96(7):935doi: 10.1097/ACM.0000000000004081.
Friedman, K. A. (2021). Garnering Referees for Women for Academic Promotion. Academic medicine : journal of the Association of American Medical Colleges, 96(7), 935. https://doi.org/10.1097/ACM.0000000000004081
Friedman, Karen A. "Garnering Referees for Women for Academic Promotion." Academic medicine : journal of the Association of American Medical Colleges vol. 96,7 (2021): 935. doi: https://doi.org/10.1097/ACM.0000000000004081
Friedman KA. Garnering Referees for Women for Academic Promotion. Acad Med. 2021 Jul 01;96(7):935. doi: 10.1097/ACM.0000000000004081. PMID: 34183484.
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QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies.

Annals of internal medicine

Yang B, Mallett S, Takwoingi Y, Davenport CF, Hyde CJ, Whiting PF, Deeks JJ, Leeflang MMG.
PMID: 34698503
Ann Intern Med. 2021 Nov;174(11):1592-1599. doi: 10.7326/M21-2234. Epub 2021 Oct 26.

Comparative diagnostic test accuracy studies assess and compare the accuracy of 2 or more tests in the same study. Although these studies have the potential to yield reliable evidence regarding comparative accuracy, shortcomings in the design, conduct, and analysis...

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Yang B, Mallett S, Takwoingi Y, et al. QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Ann Intern Med. 2021;174(11):1592-1599doi: 10.7326/M21-2234.
Yang, B., Mallett, S., Takwoingi, Y., Davenport, C. F., Hyde, C. J., Whiting, P. F., Deeks, J. J., Leeflang, M. M. G. (2021). QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Annals of internal medicine, 174(11), 1592-1599. https://doi.org/10.7326/M21-2234
Yang, Bada, et al. "QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies." Annals of internal medicine vol. 174,11 (2021): 1592-1599. doi: https://doi.org/10.7326/M21-2234
Yang B, Mallett S, Takwoingi Y, Davenport CF, Hyde CJ, Whiting PF, Deeks JJ, Leeflang MMG. QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Ann Intern Med. 2021 Nov;174(11):1592-1599. doi: 10.7326/M21-2234. Epub 2021 Oct 26. PMID: 34698503.
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Critics pounce. Experts cite old data, metrics in cancer costs study.

Modern healthcare

McKinney M.
PMID: 22570991
Mod Healthc. 2012 Apr 16;42(16):12.

No abstract available.

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McKinney M. Critics pounce. Experts cite old data, metrics in cancer costs study. Mod Healthc. 2012;42(16):12
McKinney, M. (2012). Critics pounce. Experts cite old data, metrics in cancer costs study. Modern healthcare, 42(16), 12.
McKinney, Maureen. "Critics pounce. Experts cite old data, metrics in cancer costs study." Modern healthcare vol. 42,16 (2012): 12.
McKinney M. Critics pounce. Experts cite old data, metrics in cancer costs study. Mod Healthc. 2012 Apr 16;42(16):12. PMID: 22570991.
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fMRI evidence reveals emotional biases in bilingual decision making.

Brain structure & function

He Y, Margoni F, Wu Y, Liu H, Achiam M.
PMID: 33675396
Brain Struct Funct. 2021 Jun;226(5):1405-1421. doi: 10.1007/s00429-021-02246-3. Epub 2021 Mar 06.

Research indicates that the foreign language effect on decision making can be partially explained by a reduction in emotional response in the second language. In this fMRI study, we aimed at elucidating the neural mechanisms underpinning the interaction between...

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He Y, Margoni F, Wu Y, et al. fMRI evidence reveals emotional biases in bilingual decision making. Brain Struct Funct. 2021;226(5):1405-1421doi: 10.1007/s00429-021-02246-3.
He, Y., Margoni, F., Wu, Y., Liu, H., & Achiam, M. (2021). fMRI evidence reveals emotional biases in bilingual decision making. Brain structure & function, 226(5), 1405-1421. https://doi.org/10.1007/s00429-021-02246-3
He, Yuying, et al. "fMRI evidence reveals emotional biases in bilingual decision making." Brain structure & function vol. 226,5 (2021): 1405-1421. doi: https://doi.org/10.1007/s00429-021-02246-3
He Y, Margoni F, Wu Y, Liu H, Achiam M. fMRI evidence reveals emotional biases in bilingual decision making. Brain Struct Funct. 2021 Jun;226(5):1405-1421. doi: 10.1007/s00429-021-02246-3. Epub 2021 Mar 06. PMID: 33675396.
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[Types of evidence syntheses].

Der Urologe. Ausg. A

Graf S, Kranz J, Schmidt S, Bellut L, Uhlig A.
PMID: 33656592
Urologe A. 2021 Apr;60(4):434-443. doi: 10.1007/s00120-021-01476-x. Epub 2021 Mar 03.

This manuscript outlines various types of review articles as forms of evidence synthesis with special regard to their strengths and limitations. Review articles not only present summarised data, but also offer an evaluation of the quality of the individual...

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Graf S, Kranz J, Schmidt S, et al. Formen der Evidenzsynthese. [Types of evidence syntheses]. Urologe A. 2021;60(4):434-443doi: 10.1007/s00120-021-01476-x.
Graf, S., Kranz, J., Schmidt, S., Bellut, L., & Uhlig, A. (2021). Formen der Evidenzsynthese. [Types of evidence syntheses]. Der Urologe. Ausg. A, 60(4), 434-443. https://doi.org/10.1007/s00120-021-01476-x
Graf, S, et al. "Formen der Evidenzsynthese." [Types of evidence syntheses]. Der Urologe. Ausg. A vol. 60,4 (2021): 434-443. doi: https://doi.org/10.1007/s00120-021-01476-x
Graf S, Kranz J, Schmidt S, Bellut L, Uhlig A. Formen der Evidenzsynthese. [Types of evidence syntheses]. Urologe A. 2021 Apr;60(4):434-443. doi: 10.1007/s00120-021-01476-x. Epub 2021 Mar 03. German. PMID: 33656592; PMCID: PMC7927776.
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Reducing bias to source samples for unsupervised domain adaptation.

Neural networks : the official journal of the International Neural Network Society

Ye Y, Huang Z, Pan T, Li J, Shen HT.
PMID: 33866303
Neural Netw. 2021 Sep;141:61-71. doi: 10.1016/j.neunet.2021.03.021. Epub 2021 Mar 26.

Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while labels are only available in the source domain. Lots of works in UDA focus on finding a common representation of the two domains via domain alignment, assuming...

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Ye Y, Huang Z, Pan T, et al. Reducing bias to source samples for unsupervised domain adaptation. Neural Netw. 2021;141:61-71doi: 10.1016/j.neunet.2021.03.021.
Ye, Y., Huang, Z., Pan, T., Li, J., & Shen, H. T. (2021). Reducing bias to source samples for unsupervised domain adaptation. Neural networks : the official journal of the International Neural Network Society, 14161-71. https://doi.org/10.1016/j.neunet.2021.03.021
Ye, Yalan, et al. "Reducing bias to source samples for unsupervised domain adaptation." Neural networks : the official journal of the International Neural Network Society vol. 141 (2021): 61-71. doi: https://doi.org/10.1016/j.neunet.2021.03.021
Ye Y, Huang Z, Pan T, Li J, Shen HT. Reducing bias to source samples for unsupervised domain adaptation. Neural Netw. 2021 Sep;141:61-71. doi: 10.1016/j.neunet.2021.03.021. Epub 2021 Mar 26. PMID: 33866303.
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Do demand characteristics contribute to minimal ingroup preferences?.

Journal of experimental child psychology

Brew K, Clark T, Feingold-Link J, Barth H.
PMID: 33360283
J Exp Child Psychol. 2021 Apr;204:105043. doi: 10.1016/j.jecp.2020.105043. Epub 2020 Dec 23.

"Minimal group" paradigms investigate social preferences arising from mere group membership. We asked whether demand characteristics contribute to children's apparent minimal group bias in a preregistered experiment (N = 160). In a group condition, we attempted to replicate findings...

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Brew K, Clark T, Feingold-Link J, et al. Do demand characteristics contribute to minimal ingroup preferences?. J Exp Child Psychol. 2020;204:105043doi: 10.1016/j.jecp.2020.105043.
Brew, K., Clark, T., Feingold-Link, J., & Barth, H. (2021). Do demand characteristics contribute to minimal ingroup preferences?. Journal of experimental child psychology, 204105043. https://doi.org/10.1016/j.jecp.2020.105043
Brew, Kerry, et al. "Do demand characteristics contribute to minimal ingroup preferences?." Journal of experimental child psychology vol. 204 (2021): 105043. doi: https://doi.org/10.1016/j.jecp.2020.105043
Brew K, Clark T, Feingold-Link J, Barth H. Do demand characteristics contribute to minimal ingroup preferences?. J Exp Child Psychol. 2021 Apr;204:105043. doi: 10.1016/j.jecp.2020.105043. Epub 2020 Dec 23. PMID: 33360283.
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Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores.

Multivariate behavioral research

Soland J, Kuhfeld M.
PMID: 32633574
Multivariate Behav Res. 2021 Nov-Dec;56(6):853-873. doi: 10.1080/00273171.2020.1778440. Epub 2020 Jul 07.

Survey respondents employ different response styles when they use the categories of the Likert scale differently despite having the same true score on the construct of interest. For example, respondents may be more likely to use the extremes of...

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Soland J, Kuhfeld M. Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores. Multivariate Behav Res. 2020;56(6):853-873doi: 10.1080/00273171.2020.1778440.
Soland, J., & Kuhfeld, M. (2021). Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores. Multivariate behavioral research, 56(6), 853-873. https://doi.org/10.1080/00273171.2020.1778440
Soland, James, and Kuhfeld, Megan. "Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores." Multivariate behavioral research vol. 56,6 (2021): 853-873. doi: https://doi.org/10.1080/00273171.2020.1778440
Soland J, Kuhfeld M. Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores. Multivariate Behav Res. 2021 Nov-Dec;56(6):853-873. doi: 10.1080/00273171.2020.1778440. Epub 2020 Jul 07. PMID: 32633574.
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Systematic reviews on interventions for COVID-19 have rarely graded the certainty of the evidence.

Sao Paulo medical journal = Revista paulista de medicina

Martimbianco ALC, Pacheco RL, Latorraca COC, Ferreira RES, Riera R.
PMID: 34378740
Sao Paulo Med J. 2021 Aug-Sep;139(5):511-513. doi: 10.1590/1516-3180.2021.0107.27052021.

BACKGROUND: Numerous systematic reviews on coronavirus disease-19 (COVID-19) treatment have been developed to provide syntheses of the large volume of primary studies. However, the methodological quality of most of these reviews is questionable and the results provided may therefore...

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Martimbianco ALC, Pacheco RL, Latorraca COC, et al. Systematic reviews on interventions for COVID-19 have rarely graded the certainty of the evidence. Sao Paulo Med J. 2021;139(5):511-513doi: 10.1590/1516-3180.2021.0107.27052021.
Martimbianco, A. L. C., Pacheco, R. L., Latorraca, C. O. C., Ferreira, R. E. S., & Riera, R. (2021). Systematic reviews on interventions for COVID-19 have rarely graded the certainty of the evidence. Sao Paulo medical journal = Revista paulista de medicina, 139(5), 511-513. https://doi.org/10.1590/1516-3180.2021.0107.27052021
Martimbianco, Ana Luiza Cabrera, et al. "Systematic reviews on interventions for COVID-19 have rarely graded the certainty of the evidence." Sao Paulo medical journal = Revista paulista de medicina vol. 139,5 (2021): 511-513. doi: https://doi.org/10.1590/1516-3180.2021.0107.27052021
Martimbianco ALC, Pacheco RL, Latorraca COC, Ferreira RES, Riera R. Systematic reviews on interventions for COVID-19 have rarely graded the certainty of the evidence. Sao Paulo Med J. 2021 Aug-Sep;139(5):511-513. doi: 10.1590/1516-3180.2021.0107.27052021. PMID: 34378740.
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Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation.

Annals of epidemiology

Dunne J, Tessema GA, Ognjenovic M, Pereira G.
PMID: 34384883
Ann Epidemiol. 2021 Nov;63:86-101. doi: 10.1016/j.annepidem.2021.07.033. Epub 2021 Aug 09.

PURPOSE: The application of simulated data in epidemiological studies enables the illustration and quantification of the magnitude of various types of bias commonly found in observational studies. This was a review of the application of simulation methods to the...

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Dunne J, Tessema GA, Ognjenovic M, et al. Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation. Ann Epidemiol. 2021;63:86-101doi: 10.1016/j.annepidem.2021.07.033.
Dunne, J., Tessema, G. A., Ognjenovic, M., & Pereira, G. (2021). Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation. Annals of epidemiology, 6386-101. https://doi.org/10.1016/j.annepidem.2021.07.033
Dunne, Jennifer, et al. "Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation." Annals of epidemiology vol. 63 (2021): 86-101. doi: https://doi.org/10.1016/j.annepidem.2021.07.033
Dunne J, Tessema GA, Ognjenovic M, Pereira G. Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation. Ann Epidemiol. 2021 Nov;63:86-101. doi: 10.1016/j.annepidem.2021.07.033. Epub 2021 Aug 09. PMID: 34384883.
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Health Disparities: Impact of Health Disparities and Treatment Decision-Making Biases on Cancer Adverse Effects Among Black Cancer Survivors.

Clinical journal of oncology nursing

Vo JB, Gillman A, Mitchell K, Nolan TS.
PMID: 34533532
Clin J Oncol Nurs. 2021 Oct 01;25(5):17-24. doi: 10.1188/21.CJON.S1.17-24.

BACKGROUND: Health disparities affect cancer incidence, treatment decisions, and adverse effects. Oncology providers may hold biases in the decision-making process, which can perpetuate health disparities.OBJECTIVES: The purpose of this article is to describe health disparities across treatment decisions and...

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Vo JB, Gillman A, Mitchell K, et al. Health Disparities: Impact of Health Disparities and Treatment Decision-Making Biases on Cancer Adverse Effects Among Black Cancer Survivors. Clin J Oncol Nurs. 2021;25(5):17-24doi: 10.1188/21.CJON.S1.17-24.
Vo, J. B., Gillman, A., Mitchell, K., & Nolan, T. S. (2021). Health Disparities: Impact of Health Disparities and Treatment Decision-Making Biases on Cancer Adverse Effects Among Black Cancer Survivors. Clinical journal of oncology nursing, 25(5), 17-24. https://doi.org/10.1188/21.CJON.S1.17-24
Vo, Jacqueline B, et al. "Health Disparities: Impact of Health Disparities and Treatment Decision-Making Biases on Cancer Adverse Effects Among Black Cancer Survivors." Clinical journal of oncology nursing vol. 25,5 (2021): 17-24. doi: https://doi.org/10.1188/21.CJON.S1.17-24
Vo JB, Gillman A, Mitchell K, Nolan TS. Health Disparities: Impact of Health Disparities and Treatment Decision-Making Biases on Cancer Adverse Effects Among Black Cancer Survivors. Clin J Oncol Nurs. 2021 Oct 01;25(5):17-24. doi: 10.1188/21.CJON.S1.17-24. PMID: 34533532; PMCID: PMC8544127.
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Showing 865 to 876 of 876 entries