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Hi,

My collaborator has a dataset collected from 98 cancer patients. Each patient has one score representing the cancer stage (ordinal), and up to 30 lymph nodes, each lymph node has two biomarkers with positive and negative binary measures. The question is: How to use the two biomarkers to predict the patient cancer stage?

What methods are out there for this kind of multilevel data? Can we use the percentage of lymph node with certain biomarker value as the independent variable, then the ordinal cancer stage as dependent variable? The more complex method would take the correlation within patient into account, but how?
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Hello, good afternoon!

 

I am working on Heckman selection model. Following is the syntax in STATA that I used: [more]


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Hello, good afternoon!

 

I am working on Heckman selection model. Following is the syntax in STATA that I used: [more]


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As statistical programmers, we're frequently asked to create graphs depicting some sort of statistical summary of data. Sometimes we have few options - the instructions imposed upon us are quite clear and unambiguous. Other times, though, we have some freedom to decide how to best present the information.
 
Insight into what the New York Times does is archived on this site:
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In a blow to smart, efficient government and data-driven decisionmaking, the House voted on Wednesday to eliminate the American Community Survey (ACS). The rolling survey sent monthly to 250,000 households was established in 2005 to replace the Census Long Form and asks questions on demographic, housing, social and economic characteristics. The ACS data are invaluable to federal, state and local governments and also benefit researchers and the business community, where the data are frequently referred to as the "gold standard." [more]

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This blog entry tracks FY13 appropriations developments for NSF and NIH and so will updated accordingly. (See log updates below.) To receive notifications of updates, follow ASA Science Policy on Twitter: @ASA_SciPol.

House
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