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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
2010
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118058206/?ar |
| 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 Causation pre. |
| Beschreibung: | Includes bibliographical references (pages 321-339) and index. - Print version record |
| Umfang: | 1 online resource (xv, 348 pages) illustrations |
| ISBN: | 9780470631096 0470631090 0470631104 9780470631102 9781118058206 1118058208 |
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| 520 | |a 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 Causation pre. | ||
| 650 | 0 | |a Discriminant analysis | |
| 650 | 0 | |a Paired comparisons (Statistics) | |
| 650 | 0 | |a Causation | |
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| 650 | 4 | |a Méthode des comparaisons par paires | |
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| 650 | 4 | |a Discriminant analysis | |
| 650 | 4 | |a Paired comparisons (Statistics) | |
| 650 | 4 | |a Bias | |
| 650 | 4 | |a Paarsgewijze vergelijkingen | |
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| illustrated | Illustrated |
| indexdate | 2025-05-28T09:46:13Z |
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| isbn | 9780470631096 0470631090 0470631104 9780470631102 9781118058206 1118058208 |
| language | English |
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| physical | 1 online resource (xv, 348 pages) illustrations |
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| publishDate | 2010 |
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| publisher | Wiley |
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| series2 | Wiley series in probability and statistics |
| spelling | Weisberg, Herbert I. 1944- VerfasserIn aut Bias and causation models and judgment for valid comparisons Herbert I. Weisberg Hoboken, N.J. Wiley 2010 1 online resource (xv, 348 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references (pages 321-339) and index. - Print version record 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 Causation pre. Discriminant analysis Paired comparisons (Statistics) Causation Statistics Discriminant Analysis Matched-Pair Analysis Selection Bias Causality Research Design Statistics as Topic Analyse discriminante Méthode des comparaisons par paires Causalité Statistiques Statistique statistics MATHEMATICS ; Probability & Statistics ; Multivariate Analysis Bias Paarsgewijze vergelijkingen Causaliteit 9780470286395 Erscheint auch als Druck-Ausgabe 9780470286395 |
| spellingShingle | Weisberg, Herbert I. 1944- Bias and causation models and judgment for valid comparisons Discriminant analysis Paired comparisons (Statistics) Causation Statistics Discriminant Analysis Matched-Pair Analysis Selection Bias Causality Research Design Statistics as Topic Analyse discriminante Méthode des comparaisons par paires Causalité Statistiques Statistique statistics MATHEMATICS ; Probability & Statistics ; Multivariate Analysis Bias Paarsgewijze vergelijkingen Causaliteit |
| title | Bias and causation models and judgment for valid comparisons |
| title_auth | Bias and causation models and judgment for valid comparisons |
| title_exact_search | Bias and causation models and judgment for valid comparisons |
| title_full | Bias and causation models and judgment for valid comparisons Herbert I. Weisberg |
| title_fullStr | Bias and causation models and judgment for valid comparisons Herbert I. Weisberg |
| title_full_unstemmed | Bias and causation models and judgment for valid comparisons Herbert I. Weisberg |
| title_short | Bias and causation |
| title_sort | bias and causation models and judgment for valid comparisons |
| title_sub | models and judgment for valid comparisons |
| topic | Discriminant analysis Paired comparisons (Statistics) Causation Statistics Discriminant Analysis Matched-Pair Analysis Selection Bias Causality Research Design Statistics as Topic Analyse discriminante Méthode des comparaisons par paires Causalité Statistiques Statistique statistics MATHEMATICS ; Probability & Statistics ; Multivariate Analysis Bias Paarsgewijze vergelijkingen Causaliteit |
| topic_facet | Discriminant analysis Paired comparisons (Statistics) Causation Statistics Discriminant Analysis Matched-Pair Analysis Selection Bias Causality Research Design Statistics as Topic Analyse discriminante Méthode des comparaisons par paires Causalité Statistiques Statistique statistics MATHEMATICS ; Probability & Statistics ; Multivariate Analysis Bias Paarsgewijze vergelijkingen Causaliteit |
| work_keys_str_mv | AT weisbergherberti biasandcausationmodelsandjudgmentforvalidcomparisons |