LEADER 00734nam 2200241zu 450 001 9910865296103321 005 20240701181438.0 010 $a9781800082533 010 $a1800082533 035 $a(CKB)32348557000041 035 $a(EXLCZ)9932348557000041 100 $a20240626|2024uuuu || | 101 0 $aeng 135 $aur||||||||||| 200 10$aEarly Childhood in the Anglosphere: Systemic failings and transformative possibilities 210 $cUCL Press$d2024 311 08$a9781800082540 311 08$a1800082541 700 $aMoss$b Peter$0565927 906 $aBOOK 912 $a9910865296103321 996 $aEarly Childhood in the Anglosphere: Systemic failings and transformative possibilities$94335049 997 $aUNINA LEADER 05236nam 22007455 450 001 9910865275803321 005 20250527125028.0 010 $a9789819730940$b(electronic bk.) 010 $z9789819730933 024 7 $a10.1007/978-981-97-3094-0 035 $a(MiAaPQ)EBC31480309 035 $a(Au-PeEL)EBL31480309 035 $a(CKB)32306634000041 035 $a(DE-He213)978-981-97-3094-0 035 $a(EXLCZ)9932306634000041 100 $a20240615d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistics with Posterior Probability and a PHC Curve /$fby Hideki Toyoda 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (412 pages) 311 08$aPrint version: Toyoda, Hideki Statistics with Posterior Probability and a PHC Curve Singapore : Springer,c2024 9789819730933 327 $achapter01 Data summary and theoretical distribution -- chapter02 Posterior Distribution and Bayes' Theorem -- chapter03 Inference about a normal distribution -- chapter04 Generated quantities -- chapter05 phc curve and ROPE -- chapter06 Inference about two normal distributions -- chapter07 Group difference between two independent groups -- chapter08 Bivariate and multivariate data -- chapter09 difference score of paired two groups -- chapter10 Independent one-factor analysis -- chapter11 Independent two-factor analysis -- chapter12 Binomial distribution model -- chapter13 Multinomial distribution model -- chapter14 simple regression model -- chapter15 multiple regression model -- chapter16 Interpreting partial regression coefficients -- chapter17 Logistic regression / Meta-analysis -- chapter18 Poisson model / Log-linear model -- chapter19 Independent one-factor analysis with various distributions -- chapter20 Analysis of covariance / Propensity score -- chapter21 Advanced experimental design -- chapter22 Hierarchical linear model. 330 $aThis textbook reconstructs the statistics curriculum from the perspective of posterior probability. In recent years, there have been several reports that the results of studies using significant tests cannot be reproduced. It is a problem called a ?reproducibility crisis?. For example, suppose we could reject the null hypothesis that ?the average number of days to recovery in patients who took a new drug was the same as that in the control group?. However, rejecting the null hypothesis is only a necessary condition for the new drug to be effective. Even if the necessary conditions are met, it does not necessarily mean that the new drug is effective. In fact, there are many cases where the effect is not reproduced. Sufficient conditions should be presented, such as ?the average number of days until recovery in patients who take new drugs is sufficiently short compared to the control group, evaluated from a medical point of view?, without paying attention to necessary conditions. This book reconstructs statistics from the perspective of PHC, i.e., probability that a research hypothesis is correct. For example, the PHC curve shows the posterior probability that the statement ?The average number of days until recovery for patients taking a new drug is at least ? days shorter than that of the control group? is correct as a function of ?. Using the PHC curve makes it possible to discuss the sufficient conditions rather than the necessary conditions for being an efficient treatment. The value of statistical research should be evaluated with concrete indicators such as ?90% probability of being at least 3 days shorter?, not abstract metrics like the p-value. 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aMarkov processes 606 $aStatistics 606 $aMathematical statistics 606 $aPsychometrics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistical Theory and Methods 606 $aMarkov Process 606 $aBayesian Inference 606 $aParametric Inference 606 $aPsychometrics 606 $aEstadística matemàtica$2thub 606 $aProbabilitats$2thub 608 $aLlibres electrònics$2thub 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 0$aMarkov processes. 615 0$aStatistics. 615 0$aMathematical statistics. 615 0$aPsychometrics. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistical Theory and Methods. 615 24$aMarkov Process. 615 24$aBayesian Inference. 615 24$aParametric Inference. 615 24$aPsychometrics. 615 7$aEstadística matemàtica 615 7$aProbabilitats 676 $a300.727 700 $aToyoda$b Hideki$01742932 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910865275803321 996 $aStatistics with Posterior Probability and a PHC Curve$94169617 997 $aUNINA