LEADER 02058nam 2200481z- 450 001 9910688578403321 005 20211118 035 $a(CKB)5400000000042150 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/74251 035 $a(oapen)doab74251 035 $a(EXLCZ)995400000000042150 100 $a20202111d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProceedings from ACCM19: Cell Cycle, DNA Damage Response and Telomeres 210 $cFrontiers Media SA$d2020 215 $a1 online resource (153 p.) 311 08$a2-88966-115-6 330 $aThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact 517 $aProceedings from ACCM19 606 $aBiology, life sciences$2bicssc 606 $aScience: general issues$2bicssc 610 $acell cycle 610 $achemotherapy 610 $aDNA damage 610 $aJNK 610 $amitosis 610 $aPP2A 610 $aradiation 610 $atelomere 615 7$aBiology, life sciences 615 7$aScience: general issues 700 $aBurgess$b Andrew$4edt$0960745 702 $aCaldon$b Liz$4edt 702 $aBurgess$b Andrew$4oth 702 $aCaldon$b Liz$4oth 906 $aBOOK 912 $a9910688578403321 996 $aProceedings from ACCM19: Cell Cycle, DNA Damage Response and Telomeres$93201662 997 $aUNINA LEADER 05621nam 2200733Ia 450 001 9911019421603321 005 20200520144314.0 010 $a9786611319816 010 $a9781281319814 010 $a1281319813 010 $a9780470985533 010 $a0470985534 010 $a9780470985526 010 $a0470985526 035 $a(CKB)1000000000412343 035 $a(EBL)351278 035 $a(OCoLC)437218554 035 $a(SSID)ssj0000201556 035 $a(PQKBManifestationID)11175209 035 $a(PQKBTitleCode)TC0000201556 035 $a(PQKBWorkID)10245406 035 $a(PQKB)11300920 035 $a(MiAaPQ)EBC351278 035 $a(Perlego)2764144 035 $a(EXLCZ)991000000000412343 100 $a20071101d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMeta analysis $ea guide to calibrating and combining statistical evidence /$fElena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte 210 $aChichester, West Sussex ;$aHoboken, NJ $cJohn Wiley & Sons$dc2008 215 $a1 online resource (284 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780470028643 311 08$a0470028645 320 $aIncludes bibliographical references (p. [253]-256) and index. 327 $aMeta Analysis A Guide to Calibrating and Combining Statistical Evidence; Contents; Preface; Part I The Methods; 1 What can the reader expect from this book?; 1.1 A calibration scale for evidence; 1.1.1 T -values and p-values; 1.1.2 How generally applicable is the calibration scale?; 1.1.3 Combining evidence; 1.2 The efficacy of glass ionomer versus resin sealants for prevention of caries; 1.2.1 The data; 1.2.2 Analysis for individual studies; 1.2.3 Combining the evidence: fixed effects model; 1.2.4 Combining the evidence: random effects model; 1.3 Measures of effect size for two populations 327 $a1.4 Summary2 Independent measurements with known precision; 2.1 Evidence for one-sided alternatives; 2.2 Evidence for two-sided alternatives; 2.3 Examples; 2.3.1 Filling containers; 2.3.2 Stability of blood samples; 2.3.3 Blood alcohol testing; 3 Independent measurements with unknown precision; 3.1 Effects and standardized effects; 3.2 Paired comparisons; 3.3 Examples; 3.3.1 Daily energy intake compared to a fixed level; 3.3.2 Darwin's data on Zea mays; 4 Comparing treatment to control; 4.1 Equal unknown precision; 4.2 Differing unknown precision; 4.3 Examples 327 $a4.3.1 Drop in systolic blood pressure4.3.2 Effect of psychotherapy on hospital length of stay; 5 Comparing K treatments; 5.1 Methodology; 5.2 Examples; 5.2.1 Characteristics of antibiotics; 5.2.2 Red cell folate levels; 6 Evaluating risks; 6.1 Methodology; 6.2 Examples; 6.2.1 Ultrasound and left-handedness; 6.2.2 Treatment of recurrent urinary tract infections; 7 Comparing risks; 7.1 Methodology; 7.2 Examples; 7.2.1 Treatment of recurrent urinary tract infections; 7.2.2 Diuretics in pregnancy and risk of pre-eclamsia; 8 Evaluating Poisson rates; 8.1 Methodology; 8.2 Example 327 $a8.2.1 Deaths by horse-kicks9 Comparing Poisson rates; 9.1 Methodology; 9.1.1 Unconditional evidence; 9.1.2 Conditional evidence; 9.2 Example; 9.2.1 Vaccination for the prevention of tuberculosis; 10 Goodness-of-fit testing; 10.1 Methodology; 10.2 Example; 10.2.1 Bellbirds arriving to feed nestlings; 11 Evidence for heterogeneity of effects and transformed effects; 11.1 Methodology; 11.1.1 Fixed effects; 11.1.2 Random effects; 11.2 Examples; 11.2.1 Deaths by horse-kicks; 11.2.2 Drop in systolic blood pressure; 11.2.3 Effect of psychotherapy on hospital length of stay 327 $a11.2.4 Diuretics in pregnancy and risk of pre-eclamsia12 Combining evidence: fixed standardized effects model; 12.1 Methodology; 12.2 Examples; 12.2.1 Deaths by horse-kicks; 12.2.2 Drop in systolic blood pressure; 13 Combining evidence: random standardized effects model; 13.1 Methodology; 13.2 Example; 13.2.1 Diuretics in pregnancy and risk of pre-eclamsia; 14 Meta-regression; 14.1 Methodology; 14.2 Commonly encountered situations; 14.2.1 Standardized difference of means; 14.2.2 Difference in risk (two binomial proportions); 14.2.3 Log relative risk (two Poisson rates); 14.3 Examples 327 $a14.3.1 Effect of open education on student creativity 330 $aMeta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory 410 0$aWiley series in probability and statistics. 606 $aMeta-analysis 606 $aMedicine$xResearch$xEvaluation 615 0$aMeta-analysis. 615 0$aMedicine$xResearch$xEvaluation. 676 $a519.5 676 $a610.72/7 676 $a610.727 700 $aKulinskaya$b Elena$01839539 701 $aMorgenthaler$b Stephan$0103522 701 $aStaudte$b Robert G$0102311 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019421603321 996 $aMeta analysis$94418803 997 $aUNINA