LEADER 03445nam 2200577 450 001 9910786515603321 005 20230803203939.0 010 $a1-118-51939-6 010 $a1-118-51941-8 035 $a(CKB)3710000000212885 035 $a(EBL)1757094 035 $a(MiAaPQ)EBC1757094 035 $a(DLC) 2014021556 035 $a(Au-PeEL)EBL1757094 035 $a(CaPaEBR)ebr10901398 035 $a(CaONFJC)MIL633687 035 $a(OCoLC)900445458 035 $a(MiAaPQ)EBC7147440 035 $a(Au-PeEL)EBL7147440 035 $a(EXLCZ)993710000000212885 100 $a20140816h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMedical statistics from scratch $ean introduction for health care professionals /$fDavid Bowers 205 $aThird edition. 210 1$aChichester, England :$cWiley-Blackwell,$d2014. 210 4$dİ2014 215 $a1 online resource (411 p.) 300 $aDescription based upon print version of record. 311 $a1-118-51938-8 320 $aIncludes bibliographical references and index. 327 $aFirst things first? : the nature of data -- Describing data with tables -- Describing data with charts -- Describing data from its shape -- Describing data with measures of location -- Describing data with measures of spread -- Confounding? : like poor(nearly) always with us -- Research design part I observational -- Research design part II experimental studies -- Getting the participants for your study. ways of sampling -- Chance would be a fine thing? : the idea of probability -- Risk and odds -- Estimating the value of a single population parameter? : the idea of confidence intervals -- Using confidence intervals to compare two population parameters -- Confidence intervals for the ratio of two population parameters -- Testing hypotheses about the difference between two population parameters -- The chi-squared test? : what, why, and how? -- Testing hypotheses about the ratio of two population parameters -- Measuring the association between two variables -- Measuring agreement -- Straight line models : linear regression -- Curvy models : logistic regression -- Measuring survival -- Systematic review and meta-analysis -- Diagnostic testing. 330 $aCorrectly understanding and using medical statistics is a key skill for all medical students and health professionals.In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real world examples and cases drawn from current medical literature.This fully revised and updated third edition includes new material on: missing data, random allocation and concealment of dat 606 $aBiometry 606 $aMedical statistics 606 $aMedicine$xResearch$xStatistical methods 615 0$aBiometry. 615 0$aMedical statistics. 615 0$aMedicine$xResearch$xStatistical methods. 676 $a610.72/7 700 $aBowers$b David$f1938-$0924210 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786515603321 996 $aMedical statistics from scratch$93754830 997 $aUNINA