Letters to the EditorSens. Max Baucus and Chuck Grassley , Washington Post: The SCHIP bill ‘does nothing to raise income eligibility ‘the program and ‘not make change the original law, the Administration approval for all entitlement level ‘higher than 200 percent of the the federal poverty level or 50 percent higher than a ‘state Medicaid income cap requires,’as the columnist Robert Novak wrote in a 27. September opinion piece, Baucus and Grassley to write in a letter from the editor lisää . ,, the legislation ‘covers only plane – a lower level – federal matching funds for states the future approval the future approval,’and the bill ‘not only maintained, removes the ban on new coverage areas of childless adults, but no children. Adults from the program together, ‘the authors conclude:’It is good to are a philosophical debate on the merits have ‘of SCHIP, but ‘enemy should intellectually honest about what does what not to do what not to do ‘(Baucus / Grassley Washington Post. Centocor.
Common problems of which can lead the occurrence and reporting of false alarms belong chance to systematic faults in the construction or analytical of a study, that different kinds of distortion, insufficient attention confounders, multiple subgroup analyzes and introducing a preference amongst authors and editors are report positive or statistically significant tend as the results Although researchers are no association. Although researchers and reader like to think those factors having a relatively small effect on the outcome one study, the authors point out, new. Times analysis indicated that immeasurable and the rest interfering factors could be producing up to 2-fold significantly increased risk of even if the variable had studied any real risk linked with it.
Debate Add the comments, Paul Boffetta, out of the International Agency for Research on Cancer in Lyon, France, and other senior scientists of Vanderbilt University in Nashville, Tennessee, and Mario Negri Institute in Milan, Italy, some of the main snares epidemiological research. For instance, the authors describe meta analyzes last half decades once a little study reported an apparently strong association between pesticides residues in female blood and the risk of breast cancer. Since then, seven other studies have examined the relationship and each other meta-analyzes to installed the accumulating data showed a decreasing relative risks of a for more than four – fold risk not impose risks. The model of the decreases Description risk means the fact that initial Observatory was wrong.