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Refinado por: Base de dados/Biblioteca: Science Citation Index Expanded (Web of Science) remover Nome da Publicação: Statistics In Medicine remover
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1
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies
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A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies

Mainzer, Rheanna ; Apajee, Jemishabye ; Nguyen, Cattram D. ; Carlin, John B. ; Lee, Katherine J.

Statistics in medicine, 2021-09, Vol.40 (21), p.4660-4674 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc

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2
Multiple imputation of semi‐continuous exposure variables that are categorized for analysis
Multiple imputation of semi‐continuous exposure variables that are categorized for analysis
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Multiple imputation of semi‐continuous exposure variables that are categorized for analysis

Nguyen, Cattram D. ; Moreno‐Betancur, Margarita ; Rodwell, Laura ; Romaniuk, Helena ; Carlin, John B. ; Lee, Katherine J.

Statistics in medicine, 2021-11, Vol.40 (27), p.6093-6106 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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3
Detecting outlying trials in network meta-analysis
Detecting outlying trials in network meta-analysis
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Detecting outlying trials in network meta-analysis

Zhang, Jing ; Fu, Haoda ; Carlin, Bradley P.

Statistics in medicine, 2015-08, Vol.34 (19), p.2695-2707 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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4
Multiple imputation in the presence of non‐normal data
Multiple imputation in the presence of non‐normal data
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Multiple imputation in the presence of non‐normal data

Lee, Katherine J. ; Carlin, John B.

Statistics in medicine, 2017-02, Vol.36 (4), p.606-617 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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5
When should matching be used in the design of cluster randomized trials?
When should matching be used in the design of cluster randomized trials?
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When should matching be used in the design of cluster randomized trials?

Chondros, Patty ; Ukoumunne, Obioha C. ; Gunn, Jane M. ; Carlin, John B.

Statistics in medicine, 2021-11, Vol.40 (26), p.5765-5778 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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6
Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment
Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment
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Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment

Hong, Hwanhee ; Fu, Haoda ; Price, Karen L. ; Carlin, Bradley P.

Statistics in medicine, 2015-09, Vol.34 (20), p.2794-2819 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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7
A trivariate continual reassessment method for phase I/II trials of toxicity, efficacy, and surrogate efficacy
A trivariate continual reassessment method for phase I/II trials of toxicity, efficacy, and surrogate efficacy
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A trivariate continual reassessment method for phase I/II trials of toxicity, efficacy, and surrogate efficacy

Zhong, Wei ; Koopmeiners, Joseph S. ; Carlin, Bradley P.

Statistics in medicine, 2012-12, Vol.31 (29), p.3885-3895 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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8
Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis
Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis
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Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis

Zhao, Hong ; Hodges, James S. ; Ma, Haijun ; Jiang, Qi ; Carlin, Bradley P.

Statistics in medicine, 2016-09, Vol.35 (20), p.3524-3536 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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9
Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trials
Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trials
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Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trials

Renfro, Lindsay A. ; Shi, Qian ; Sargent, Daniel J. ; Carlin, Bradley P.

Statistics in medicine, 2012-04, Vol.31 (8), p.743-761 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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10
An approach to addressing selection bias in survival analysis
An approach to addressing selection bias in survival analysis
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An approach to addressing selection bias in survival analysis

Carlin, Caroline S. ; Solid, Craig A.

Statistics in medicine, 2014-10, Vol.33 (23), p.4073-4086 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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