LEADER 01158cam a2200265 i 4500 001 991002778639707536 008 150612s2012 nyu b 001 0 eng 020 $a9780199768400 035 $ab14231335-39ule_inst 040 $aDip.to di Storia, Società e Studi sull'Uomo$bita 082 04$a324.2734 100 1 $aKabaservice, Geoffrey M.$0480804 245 10$aRule and ruin :$bthe downfall of moderation and the destruction of the Republican Party, from Eisenhower to the Tea Party /$cGeoffrey Kabaservice 260 $aNew York :$bOxford University press,$cc2012 300 $aXX, 482 p. ;$c25 cm. 440 0$aStudies in postwar American political development 504 $aInclude bibliografia e indice 650 4$aPartito repubblicanozStati Uniti d'America$xStoria$ySec. 20. 650 4$aStati Uniti d'America$xPolitica$y1945-1989 907 $a.b14231335$b02-07-15$c12-06-15 912 $a991002778639707536 945 $aLE023 324.273 KAB 1 1 $g1$i2023000136973$lle023$op$pE34.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i15681026$z16-06-15 996 $aRule and ruin$9255211 997 $aUNISALENTO 998 $ale023$b19-06-15$cm$da $e-$feng$gnyu$h0$i0 LEADER 07978nam 22007335 450 001 9910253872103321 005 20251116183206.0 010 $a9783319271040 010 $a3319271040 024 7 $a10.1007/978-3-319-27104-0 035 $a(CKB)3780000000095737 035 $a(SSID)ssj0001616564 035 $a(PQKBManifestationID)16347834 035 $a(PQKBTitleCode)TC0001616564 035 $a(PQKBWorkID)14922095 035 $a(PQKB)10148190 035 $a(DE-He213)978-3-319-27104-0 035 $a(MiAaPQ)EBC6314937 035 $a(MiAaPQ)EBC5587073 035 $a(Au-PeEL)EBL5587073 035 $a(OCoLC)936092663 035 $a(PPN)191700746 035 $a(EXLCZ)993780000000095737 100 $a20160122d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aClinical Data Analysis on a Pocket Calculator $eUnderstanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing /$fby Ton J. Cleophas, Aeilko H. Zwinderman 205 $a2nd ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XXIII, 334 p. 65 illus., 41 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783319271033 311 08$a3319271032 327 $aPreface.-I Continuous Outcome Data -- Data Spread, Standard Deviations -- Data Summaries: Histograms, Wide and Narrow Gaussian Curves -- Null-Hypothesis Testing with Graphs -- Null-Hypothesis Testing with the T-table -- One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon -- Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test) -- Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney) -- Linear Regression (Regression Coefficients, Correlation Coefficients, and their Standard Errors) -- Kendall-Tau Regression for Ordinal Data -- Paired Continuous Data, Analysis with Help of Correlation Coefficients -- Power Equations -- Sample Size Calculations -- Confidence Intervals -- Equivalence Testing instead of Null-Hypothesis Testing -- Noninferiority Testing instead of Null-Hypothesis Testing -- Superiority Testing instead of Null-Hypothesis Testing -- Missing Data Imputation -- Bonferroni Adjustments -- Unpaired Analysis of Variance (ANOVA) -- Paired Analysis of Variance (ANOVA).-Variability Analysis for One or Two Samples -- 22 Variability Analysis for Three or More Samples -- Confounding -- Propensity Score and Propensity Score Matching for Multiple Confounders -- Interaction -- Accuracy and Reliability Assessments -- Robust Tests for Imperfect Data -- Non-linear Modeling on a Pocket Calculator -- Fuzzy Modeling for Imprecise and Incomplete Data -- Bhattacharya Modeling for Unmasking Hidden Gaussian Curves -- Item Response Modeling instead of Classical Linear Analysis of Questionnaires -- Meta-Analysis -- Goodness of Fit Tests for Identifying Nonnormal Data -- Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis) -- II Binary Outcome Data.-Data Spread: Standard Deviation, One Sample Z- Test, One Sample Binomial Test -- Z-Tests -- Phi Tests for Nominal Data -- 38 Chi-Square Tests -- Fisher Exact Tests Convenient for Small Samples -- Confounding -- Interaction -- Chi-square Tests for Large Cross-Tabs -- Logarithmic Transformations, a Great Help to Statistical Analyses -- Odds Ratios, a Short-Cut for Analyzing Cross-Tabs -- Log odds, the Basis of Logistic Regression -- Log Likelihood Ratio Tests for the Best Precision -- Hierarchical Loglinear Models for Higher Order Cross-Tabs -- McNemar Tests for Paired Cross-Tabs -- McNemar Odds Ratios -- Power Equations -- Sample Size Calculations -- Accuracy Assessments -- Reliability Assessments -- Unmasking Fudged Data -- Markov Modeling for Predictions outside the Range of Observations -- Binary Partitioning with CART (Classification and Regression Tree) Methods -- Meta-Analysis -- Physicians' Daily Life and the Scientific Method -- Incident Analysis and the Scientific Method -- Cochran Tests for Large Paired Cross-Tabs.-Index. . 330 $aIn everyone's life the day comes that medical and health care has the highest priority. It is unbelievable, that a field, so important, uses the scientific method so little. The current book is helpful for implementation of the scientific method in the daily life of medical and health care workers. From readers' comments to the first editions of this work, the authors came to realize that statistical software programs is experienced by professionals in the field as black box programs producing lots of p-values, but little answers to scientific questions, and many readers had not been happy with that situation. The pocket calculator analyses appeared to be, particularly, appreciated, because they enabled readers for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it started something like a new dimension in their professional world. We should add a number of statistical methods can be performed more easily on a pocket calculator, than using a software program. Also, there are some specific advantages of the pocket calculator method. You better understand what you are doing. The pocket calculator works faster, because far less steps have to be taken, averages can be used. With statistical software all individual data have to be included separately, a time-consuming activity in case of large data files. Some analytical methods, for example, power calculations and required sample size calculations are difficult on a statistical software program, and easy on a pocket calculator. The reason for a rewrite was to give updated and upgraded versions of the forty chapters from the first editions, including the valuable comments of readers. Like in the textbook complementary to the current work, entitled "SPSS for Starters and 2nd Levelers" (Springer Heidelberg 2015, from the same authors), an improved structure of the chapters was produced, including background, main purpose, scientific question, schematic overview of data files, and reference sections. In addition, for the analysis of more complex data twenty novel chapters were written. We showed that, also here, a pocket calculator can be very helpful. For the readers' convenience the chapters have been reclassified according to the most basic difference in data characteristics: continuous outcome data (34 chapters), binary outcome data (26 chapters). Both hypothesized and real data examples are used to explain the sixty pocket calculator methods described. The arithmetic is of a no-more-than high-school level. . 606 $aMedicine 606 $aEntomology 606 $aPharmacy 606 $aStatistics 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aEntomology$3https://scigraph.springernature.com/ontologies/product-market-codes/L25090 606 $aPharmacy$3https://scigraph.springernature.com/ontologies/product-market-codes/F00008 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 615 0$aMedicine. 615 0$aEntomology. 615 0$aPharmacy. 615 0$aStatistics. 615 14$aBiomedicine, general. 615 24$aEntomology. 615 24$aPharmacy. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 676 $a610.727 700 $aCleophas$b Ton J. M.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0850054 702 $aZwinderman$b Aeilko H.$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253872103321 996 $aClinical Data Analysis on a Pocket Calculator$94489368 997 $aUNINA LEADER 03136nam 22006975 450 001 9910337836003321 005 20251113184934.0 010 $a3-030-21752-3 024 7 $a10.1007/978-3-030-21752-5 035 $a(CKB)4100000008409914 035 $a(DE-He213)978-3-030-21752-5 035 $a(MiAaPQ)EBC5926604 035 $a(PPN)242823572 035 $a(EXLCZ)994100000008409914 100 $a20190607d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrivacy Technologies and Policy $e7th Annual Privacy Forum, APF 2019, Rome, Italy, June 13?14, 2019, Proceedings /$fedited by Maurizio Naldi, Giuseppe F. Italiano, Kai Rannenberg, Manel Medina, Athena Bourka 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 211 p. 45 illus., 27 illus. in color.) 225 1 $aSecurity and Cryptology,$x2946-1863 ;$v11498 300 $aIncludes index. 311 08$a3-030-21751-5 330 $aThis book constitutes the refereed conference proceedings of the 7th Annual Privacy Forum, APF 2019, held in Rome, Italy, in June 2019. The 11 revised full papers were carefully reviewed and selected from 49 submissions. The papers present original work on the themes of data protection and privacy and their repercussions on technology, business, government, law, society, policy and law enforcement bridging the gap between research, business models, and policy. 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