Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program.
Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program.
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DOI:
10.1111/j.1360-0443.2009.02896.x
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发表时间:
2010-06
期刊:
影响因子:
--
通讯作者:
Severson HH
中科院分区:
文献类型:
--
作者:
Smolkowski K;Danaher BG;Seeley JR;Kosty DB;Severson HH
To examine various methods to impute missing binary outcome from a Web-based tobacco cessation intervention. The ChewFree randomized controlled trial used a two-arm design to compare tobacco abstinence at both the 3- and 6-month follow-up for participants randomized to either an Enhanced web-based intervention condition or a Basic information-only control condition. Internet in US and Canada. Secondary analyses focused on 2523 participants in the ChewFree trial. Point-prevalence tobacco abstinence measured at 3- and 6-months follow-up. The results of this study confirmed the findings for the original ChewFree trial and highlighted the use of different missing-data approaches to achieve intent-to-treat analyses when confronted with substantial attrition. The use of different imputation methods yielded results that differed in both the size of the estimated treatment effect and the standard errors. The choice of imputation model used to analyze missing binary outcome data can substantially affect the size and statistical significance of the treatment effect. Without additional information about the missing cases, they can overestimate the effect of treatment. Multiple imputation methods are recommended, especially those that permit a sensitivity analysis of their impact.
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影响因子:
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通讯作者:
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发表时间:
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期刊:
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
影响因子:
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期刊:
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影响因子:
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DOI:
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发表时间:
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期刊:
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影响因子:
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