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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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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
Multiple imputation of semi‐continuous exposure variables that are categorized foranalysis
Multiple imputation of semi‐continuous exposure variables that are categorized foranalysis
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Multiple imputation of semi‐continuous exposure variables that are categorized foranalysis

Nguyen, Cattram D ; Margarita Moreno‐Betancur ; 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]

New York: Wiley Subscription Services, Inc

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4
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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5
Optimizing interim analysis timing for Bayesian adaptive commensurate designs
Optimizing interim analysis timing for Bayesian adaptive commensurate designs
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Optimizing interim analysis timing for Bayesian adaptive commensurate designs

Wu, Xiao ; Xu, Yi ; Carlin, Bradley P.

Statistics in medicine, 2020-02, Vol.39 (4), p.424-437 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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6
Bayesian inference for prediction of survival probability in prime‐boost vaccination regimes
Bayesian inference for prediction of survival probability in prime‐boost vaccination regimes
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Bayesian inference for prediction of survival probability in prime‐boost vaccination regimes

Lu, Yuelin ; Carlin, Bradley P. ; Seaman, John W.

Statistics in medicine, 2024-02, Vol.43 (3), p.560-577 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
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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8
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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9
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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10
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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