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发表于 2025-3-21 18:42:30
书目名称Applying Quantitative Bias Analysis to Epidemiologic Data影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0160261<br><br> <br><br>书目名称Applying Quantitative Bias Analysis to Epidemiologic Data读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0160261<br><br> <br><br>
踉跄
发表于 2025-3-21 21:24:10
Timothy L. Lash,Matthew P. Fox,Aliza K. FinkCollects and synthesizes methods for quantifiying systematic errors that affect observational epidemiologic research.Includes supplementary material:
CAJ
发表于 2025-3-22 01:33:00
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correspondent
发表于 2025-3-22 05:36:27
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embolus
发表于 2025-3-22 12:34:59
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规范就好
发表于 2025-3-22 16:01:11
A Guide to Implementing Quantitative Bias Analysis,
符合规定
发表于 2025-3-22 19:24:59
Applying Quantitative Bias Analysis to Epidemiologic Data
overshadow
发表于 2025-3-22 21:52:54
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后天习得
发表于 2025-3-23 04:55:49
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Libido
发表于 2025-3-23 06:20:41
Book 20091st editions in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explana