ELIZA cgi-bash version rev. 1.90
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for data out of >500 occurrences
617251 occurrences (No.12 in the rank) during 5 years in the PubMed. [no cache] 500 found
278) In this study, we use our original study data of EGFR pathway genetics in African American NSCLC as an example to illustrate that univariate analyses based on aggregation versus partition of data leads to contradictory results, in order to emphasize the importance of controlling statistical confounding.
--- ABSTRACT ---
PMID:22246415 DOI:10.1177/0962280211434179
2015 Statistical methods in medical research
* Simpson's paradox - aggregating and partitioning populations in health disparities of lung cancer patients.
- It is well known that non-small cell lung cancer (NSCLC) is a heterogeneous group of diseases. Previous studies have demonstrated genetic variation among different ethnic groups in the epidermal growth factor receptor (EGFR) in NSCLC. Research by our group and others has recently shown a lower frequency of EGFR mutations in African Americans with NSCLC, as compared to their White counterparts. In this study, we use our original study data of EGFR pathway genetics in African American NSCLC as an example to illustrate that univariate analyses based on aggregation versus partition of data leads to contradictory results, in order to emphasize the importance of controlling statistical confounding. We further investigate analytic approaches in logistic regression for data with separation, as is the case in our example data set, and apply appropriate methods to identify predictors of EGFR mutation. Our simulation shows that with separated or nearly separated data, penalized maximum likelihood (PML) produces estimates with smallest bias and approximately maintains the nominal value with statistical power equal to or better than that from maximum likelihood and exact conditional likelihood methods. Application of the PML method in our example data set shows that race and EGFR-FISH are independently significant predictors of EGFR mutation.
--- ABSTRACT END ---
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--- WordNet output for data --- =>データ, 資料 Overview of noun data The noun data has 1 sense (first 1 from tagged texts) 1. (76) data, information -- (a collection of facts from which conclusions may be drawn; "statistical data") Overview of noun datum The noun datum has 1 sense (first 1 from tagged texts) 1. (5) datum, data point -- (an item of factual information derived from measurement or research) --- WordNet end ---