LEADER 03598nam 22006615 450 001 9910484035503321 005 20200703094204.0 010 $a3-030-43714-0 024 7 $a10.1007/978-3-030-43714-5 035 $a(CKB)4100000010661132 035 $a(DE-He213)978-3-030-43714-5 035 $a(MiAaPQ)EBC6134008 035 $a(PPN)243227566 035 $a(EXLCZ)994100000010661132 100 $a20200312d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Remedies for Medical Researchers$b[electronic resource] /$fby Peter F. Thall 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 291 p. 42 illus., 12 illus. in color.) 225 1 $aSpringer Series in Pharmaceutical Statistics,$x2366-8695 311 $a3-030-43713-2 327 $a1 Why Bother With Statistics? -- 2 Frequentists and Bayesians -- 3 Knocking Down the Straw Man -- 4 Science and Belief -- 5 The Perils of P-values -- 6 Flipping Coins -- 7 All Mixed Up -- 8 Sex, Biomarkers, and Paradoxes -- 9 Crippling New Treatments -- 10 Just Plain Wrong -- 11 Getting Personal -- 12 Multistage Treatment Regimes -- References. 330 $aThis book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community. 410 0$aSpringer Series in Pharmaceutical Statistics,$x2366-8695 606 $aStatistics  606 $aPharmacy 606 $aBiostatistics 606 $aPharmaceutical technology 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aDrug Safety and Pharmacovigilance$3https://scigraph.springernature.com/ontologies/product-market-codes/H69010 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aPharmaceutical Sciences/Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/B21010 606 $aBayesian Inference$3https://scigraph.springernature.com/ontologies/product-market-codes/S18000 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 615 0$aStatistics . 615 0$aPharmacy. 615 0$aBiostatistics. 615 0$aPharmaceutical technology. 615 14$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aDrug Safety and Pharmacovigilance. 615 24$aBiostatistics. 615 24$aPharmaceutical Sciences/Technology. 615 24$aBayesian Inference. 615 24$aStatistical Theory and Methods. 676 $a610.727 700 $aThall$b Peter F$4aut$4http://id.loc.gov/vocabulary/relators/aut$01017963 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484035503321 996 $aStatistical Remedies for Medical Researchers$92391162 997 $aUNINA