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Adaptive designs in clinical trials: why use them, and how to run and report them
Adaptive designs in clinical trials: why use them, and how to run and report them
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Adaptive designs in clinical trials: why use them, and how to run and report them

Pallmann, Philip ; Bedding, Alun W ; Choodari-Oskooei, Babak ; Dimairo, Munyaradzi ; Flight, Laura ; Hampson, Lisa V ; Holmes, Jane ; Mander, Adrian P ; Odondi, Lang'o ; Sydes, Matthew R ; Villar, Sofía S ; Wason, James M S ; Weir, Christopher J ; Wheeler, Graham M ; Yap, Christina ; Jaki, Thomas

BMC medicine, 2018-02, Vol.16 (1), p.29-29, Article 29 [Periódico revisado por pares]

England: BioMed Central Ltd

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Investigating clinical heterogeneity in systematic reviews: a methodologic review of guidance in the literature
Investigating clinical heterogeneity in systematic reviews: a methodologic review of guidance in the literature
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Investigating clinical heterogeneity in systematic reviews: a methodologic review of guidance in the literature

Gagnier, Joel J ; Moher, David ; Boon, Heather ; Beyene, Joseph ; Bombardier, Claire

BMC medical research methodology, 2012-07, Vol.12 (1), p.111-111, Article 111 [Periódico revisado por pares]

England: BioMed Central Ltd

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Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs
Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs
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Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs

Burnett, Thomas ; Mozgunov, Pavel ; Pallmann, Philip ; Villar, Sofia S ; Wheeler, Graham M ; Jaki, Thomas

BMC medicine, 2020-11, Vol.18 (1), p.352-352, Article 352 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses
Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses
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Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses

Thorlund, Kristian ; Imberger, Georgina ; Johnston, Bradley C ; Walsh, Michael ; Awad, Tahany ; Thabane, Lehana ; Gluud, Christian ; Devereaux, P J ; Wetterslev, Jørn Emmert-Streib, Frank

PloS one, 2012-07, Vol.7 (7), p.e39471-e39471 [Periódico revisado por pares]

United States: Public Library of Science

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5
Adaptive trial designs: a review of barriers and opportunities
Adaptive trial designs: a review of barriers and opportunities
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Adaptive trial designs: a review of barriers and opportunities

Kairalla, John A ; Coffey, Christopher S ; Thomann, Mitchell A ; Muller, Keith E

Current controlled trials in cardiovascular medicine, 2012-08, Vol.13 (1), p.145-145, Article 145 [Periódico revisado por pares]

England: BioMed Central Ltd

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Qualitative and mixed methods research in trials
Qualitative and mixed methods research in trials
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Qualitative and mixed methods research in trials

Snowdon, Claire

Current controlled trials in cardiovascular medicine, 2015-12, Vol.16 (1), p.558-558, Article 558 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
Patient-reported outcomes and target effect sizes in pragmatic randomized trials in ClinicalTrials.gov: A cross-sectional analysis
Patient-reported outcomes and target effect sizes in pragmatic randomized trials in ClinicalTrials.gov: A cross-sectional analysis
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Patient-reported outcomes and target effect sizes in pragmatic randomized trials in ClinicalTrials.gov: A cross-sectional analysis

Vanderhout, Shelley ; Fergusson, Dean A ; Cook, Jonathan A ; Taljaard, Monica Geng, Elvin Hsing

PLoS medicine, 2022-02, Vol.19 (2), p.e1003896-e1003896 [Periódico revisado por pares]

United States: Public Library of Science

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8
Analysis of clinical and methodological characteristics of early COVID-19 treatment clinical trials: so much work, so many lost opportunities
Analysis of clinical and methodological characteristics of early COVID-19 treatment clinical trials: so much work, so many lost opportunities
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Analysis of clinical and methodological characteristics of early COVID-19 treatment clinical trials: so much work, so many lost opportunities

Mainoli, Beatrice ; Machado, Tiago ; Duarte, Gonçalo S ; Prada, Luísa ; Gonçalves, Nilza ; Ferreira, Joaquim J ; Costa, João

BMC medical research methodology, 2021-02, Vol.21 (1), p.42-42, Article 42 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Why statistical inference from clinical trials is likely to generate false and irreproducible results
Why statistical inference from clinical trials is likely to generate false and irreproducible results
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Why statistical inference from clinical trials is likely to generate false and irreproducible results

Hanin, Leonid

BMC medical research methodology, 2017-08, Vol.17 (1), p.127-127, Article 127 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Neutral theory: applicability and neutrality of clinical study endpoints where a disease-specific instrument is available
Neutral theory: applicability and neutrality of clinical study endpoints where a disease-specific instrument is available
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Neutral theory: applicability and neutrality of clinical study endpoints where a disease-specific instrument is available

Jandhyala, Ravi

BMC medical research methodology, 2023-05, Vol.23 (1), p.121-121, Article 121 [Periódico revisado por pares]

England: BioMed Central Ltd

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