Bias and causation : models and judgment for valid comparisons /

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Weisberg, Herbert I.
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Hoboken, NJ : Wiley, c2010.
Ausgabe:
1st edition
Zusammenfassung:
A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and Causa
Umfang:
1 online resource (366 p.)
text file
Anmerkungen:
Description based upon print version of record.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references and index.
ISBN:
9786612707742
9781282707740
1282707744
9780470631102
0470631104
9780470631096
0470631090
Schlagworte:
Discriminant analysis.
Paired comparisons (Statistics)
Bezugswerke:
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