標(biāo)題: Titlebook: Contingency Table Analysis; Methods and Implemen Maria Kateri Textbook 2014 Springer Science+Business Media New York 2014 2014 BUGS.Bayesia [打印本頁(yè)] 作者: Harrison 時(shí)間: 2025-3-21 17:08
書目名稱Contingency Table Analysis影響因子(影響力)
作者: FACT 時(shí)間: 2025-3-21 21:48 作者: 音的強(qiáng)弱 時(shí)間: 2025-3-22 04:25
https://doi.org/10.1007/978-3-319-60645-3 are discussed and illustrated in .. In particular the comparison of two independent proportions, the test of independence for 2 × 2 and . × . contingency tables, the linear trend test, and the Fisher’s exact test are presented. Special emphasis is given to the odds ratio for 2 × 2 tables, while the作者: 良心 時(shí)間: 2025-3-22 05:07
Epic Human Failure on June 30, 2013d marginal association. Further on, stratified 2 × 2 tables are analyzed by the Mantel–Haenszel and the Breslow–Day–Tarone tests. Types of independence for three-way tables are introduced. Graphs are presented for multi-way contingency tables while fourfold plots are used to visualize stratified 2 ×作者: 豐滿有漂亮 時(shí)間: 2025-3-22 12:44 作者: lattice 時(shí)間: 2025-3-22 13:35
Roger Lew,Ronald L. Boring,Thomas A. Ulrich fit, and model selection are discussed. In the GLM framework the analysis of incomplete tables is more straightforward. The quasi-independence model is defined and illustrated in .. Furthermore, the family of generalized log-linear models (GLLMs) is briefly presented and a GLLM is illustrated with 作者: lattice 時(shí)間: 2025-3-22 19:01
Vincent G. Duffy,Nancy Lightnerfeatures, properties, and the associated graphs are discussed. The models of uniform association (U), row effect (R), column effect (C), multiplicative row–column effect (RC), and the more general RC(.) model are illustrated with examples in terms of fit, presentation, and interpretation. They are a作者: 中和 時(shí)間: 2025-3-22 22:51 作者: Affiliation 時(shí)間: 2025-3-23 03:34
Timothy Arnold,Helen J. A. Fuller baseline category logit, the cumulative logit, and the proportional odds models are presented. Also logit models for ordinal explanatory variables are considered as well as the logit analysis of stratified 2 × 2 contingency tables. Logit models are connected to association models and illustrated wi作者: Iniquitous 時(shí)間: 2025-3-23 07:08
Shifeng Zhao,Jie Shen,Zhenhuan Weng of conditional symmetry, diagonal symmetry, and ordinal quasi symmetry are discussed in detail. The model of marginal homogeneity is tested as a generalized log-linear model and not only conditioning on quasi symmetry, as is usually done. Connections to rater agreement models and mobility table ana作者: 枕墊 時(shí)間: 2025-3-23 13:42 作者: 全部 時(shí)間: 2025-3-23 17:09
Statistics for Industry and Technologyhttp://image.papertrans.cn/c/image/236944.jpg作者: 收集 時(shí)間: 2025-3-23 19:12 作者: 時(shí)間等 時(shí)間: 2025-3-23 23:32
https://doi.org/10.1007/978-3-030-50838-8This epilogue chapter refers briefly to alternative methods and approaches in the analysis of contingency tables (latent class models, graphical models, and smoothing), not covered in the book. Furthermore, a bibliography on small sample inference, Bayesian inference, and the analysis of high-dimensional sparse contingency tables is discussed.作者: 一再遛 時(shí)間: 2025-3-24 04:31
Introduction,Preliminary material on scales, distributions, and inferential procedures for categorical data is briefly presented. Classes of models, usually applied for categorical data analysis, are introduced and discussed. Finally, the outline of the book is presented.作者: 常到 時(shí)間: 2025-3-24 09:30
Further Topics,This epilogue chapter refers briefly to alternative methods and approaches in the analysis of contingency tables (latent class models, graphical models, and smoothing), not covered in the book. Furthermore, a bibliography on small sample inference, Bayesian inference, and the analysis of high-dimensional sparse contingency tables is discussed.作者: 后退 時(shí)間: 2025-3-24 11:50 作者: 拋物線 時(shí)間: 2025-3-24 17:12 作者: Ingenuity 時(shí)間: 2025-3-24 22:17
Generalized Linear Models and Extensions, fit, and model selection are discussed. In the GLM framework the analysis of incomplete tables is more straightforward. The quasi-independence model is defined and illustrated in .. Furthermore, the family of generalized log-linear models (GLLMs) is briefly presented and a GLLM is illustrated with a representative example in ..作者: Rotator-Cuff 時(shí)間: 2025-3-25 02:59 作者: BRAVE 時(shí)間: 2025-3-25 05:31
Analysis of Square Tables, of conditional symmetry, diagonal symmetry, and ordinal quasi symmetry are discussed in detail. The model of marginal homogeneity is tested as a generalized log-linear model and not only conditioning on quasi symmetry, as is usually done. Connections to rater agreement models and mobility table analysis are made.作者: 亞麻制品 時(shí)間: 2025-3-25 10:59 作者: 政府 時(shí)間: 2025-3-25 14:18
Epic Human Failure on June 30, 2013d marginal association. Further on, stratified 2 × 2 tables are analyzed by the Mantel–Haenszel and the Breslow–Day–Tarone tests. Types of independence for three-way tables are introduced. Graphs are presented for multi-way contingency tables while fourfold plots are used to visualize stratified 2 × 2 tables. All examples are implemented in ..作者: certitude 時(shí)間: 2025-3-25 17:24 作者: 不確定 時(shí)間: 2025-3-25 23:21 作者: 莎草 時(shí)間: 2025-3-26 02:35 作者: 復(fù)習(xí) 時(shí)間: 2025-3-26 05:35 作者: 漸變 時(shí)間: 2025-3-26 10:23
Textbook 2014l as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages..作者: Institution 時(shí)間: 2025-3-26 15:42 作者: BLUSH 時(shí)間: 2025-3-26 20:42 作者: Itinerant 時(shí)間: 2025-3-26 21:02 作者: appall 時(shí)間: 2025-3-27 01:28 作者: 誘導(dǎo) 時(shí)間: 2025-3-27 06:40 作者: SYN 時(shí)間: 2025-3-27 11:50
2364-6241 ife sciences, education, social and political sciences, nota.Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the qu作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-27 17:06
Vincent G. Duffy,Nancy Lightnere row–column effect (RC), and the more general RC(.) model are illustrated with examples in terms of fit, presentation, and interpretation. They are all worked out in ., through functions provided for their fit and the construction of their scores’ plots.作者: Compatriot 時(shí)間: 2025-3-27 19:18
https://doi.org/10.1007/978-3-030-20451-8the local odds ratios. The uniform association model for the global odds ratios is illustrated with an example in .. Correspondence analysis (CA) is also presented and connected to association models. For comparison purposes, CA is applied in . on one of the examples analyzed in Chap. 6 by association models.作者: caldron 時(shí)間: 2025-3-27 23:35
Analysis of Two-way Tables, generalized odds ratios for . × . tables are treated in detail. Finally, graphical displays of categorical data (barplot, fourfold plot, sieve diagram, and mosaic plot) are derived using . for examples of this chapter and discussed.作者: 注視 時(shí)間: 2025-3-28 02:39 作者: 不合 時(shí)間: 2025-3-28 06:48
Analysis of Multi-way Tables,d marginal association. Further on, stratified 2 × 2 tables are analyzed by the Mantel–Haenszel and the Breslow–Day–Tarone tests. Types of independence for three-way tables are introduced. Graphs are presented for multi-way contingency tables while fourfold plots are used to visualize stratified 2 ×作者: deriver 時(shí)間: 2025-3-28 13:16 作者: Malleable 時(shí)間: 2025-3-28 16:24
Generalized Linear Models and Extensions, fit, and model selection are discussed. In the GLM framework the analysis of incomplete tables is more straightforward. The quasi-independence model is defined and illustrated in .. Furthermore, the family of generalized log-linear models (GLLMs) is briefly presented and a GLLM is illustrated with 作者: Needlework 時(shí)間: 2025-3-28 22:43 作者: 纖細(xì) 時(shí)間: 2025-3-29 02:29 作者: agitate 時(shí)間: 2025-3-29 06:19
Response Variable Analysis in Contingency Tables, baseline category logit, the cumulative logit, and the proportional odds models are presented. Also logit models for ordinal explanatory variables are considered as well as the logit analysis of stratified 2 × 2 contingency tables. Logit models are connected to association models and illustrated wi作者: RENAL 時(shí)間: 2025-3-29 07:30 作者: bacteria 時(shí)間: 2025-3-29 14:59 作者: enchant 時(shí)間: 2025-3-29 16:00
Handbuch für die Getr?nkeindustriehat pathologists subclassify NSCLC into adenocarcinomas and squamous cell carcinoma in biopsy material. This paradigm shift has brought many challenges to pathologists and cytopathologists. The changes that led to the new classification and a practical approach to its utilization will be discussed i
