LEADER 03097nam 2200697Ia 450 001 9910822673803321 005 20200520144314.0 010 $a9786612707742 010 $a9781282707740 010 $a1282707744 010 $a9780470631102 010 $a0470631104 010 $a9780470631096 010 $a0470631090 035 $a(CKB)2670000000035045 035 $a(EBL)565124 035 $a(SSID)ssj0000412789 035 $a(PQKBManifestationID)11281528 035 $a(PQKBTitleCode)TC0000412789 035 $a(PQKBWorkID)10370268 035 $a(PQKB)10347334 035 $a(MiAaPQ)EBC565124 035 $a(OCoLC)777631790 035 $a(CaSebORM)9781118058206 035 $a(OCoLC)869479053 035 $a(OCoLC)ocn869479053 035 $a(EXLCZ)992670000000035045 100 $a20100114d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBias and causation $emodels and judgment for valid comparisons /$fHerbert I. Weisberg 205 $a1st edition 210 $aHoboken, NJ $cWiley$dc2010 215 $a1 online resource (366 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9781118058206 311 08$a1118058208 311 08$a9780470286395 311 08$a0470286393 320 $aIncludes bibliographical references and index. 327 $aBias and Causation: Models and Judgment for Valid Comparisons; Contents; Preface; CHAPTER 1: What Is Bias?; CHAPTER 2: Causality and Comparative Studies; CHAPTER 3: Estimating Causal Effects; CHAPTER: 4 Varieties of Bias; CHAPTER 5: Selection Bias; CHAPTER 6: Confounding: An Enigma?; CHAPTER 7: Confounding: Essence, Correction, and Detection; CHAPTER 8: Intermediate Causal Factors; CHAPTER 9: Information Bias; CHAPTER 10: Sources of Bias; CHAPTER 11: Contending with Bias; Glossary; Bibliography; Index 330 $aA one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and Causa 410 0$aWiley series in probability and statistics. 606 $aDiscriminant analysis 606 $aPaired comparisons (Statistics) 615 0$aDiscriminant analysis. 615 0$aPaired comparisons (Statistics) 676 $a519.5/35 686 $a70.03$2bcl 700 $aWeisberg$b Herbert I.$f1944-$01641376 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822673803321 996 $aBias and causation$94066043 997 $aUNINA