Results 21 to 30 of about 3,684,995 (295)
Sichuan jingshen weisheng, 2021 The purpose of the paper was to introduce the relative risk analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the data in the g×2×2 table ...
Hu Chunyan, Hu Liangping
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BMC Bioinformatics, 2019 Background Random-effects (RE) models are commonly applied to account for heterogeneity in effect sizes in gene expression meta-analysis. The degree of heterogeneity may differ due to inconsistencies in sample quality.
Uma Siangphoe +2 more
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Pecuniary incentive in tournaments and effects of players’ heterogeneity on efforts in the association of tennis professionals [PDF]
Panoeconomicus, 2020 This article addresses the issues of players’ heterogeneity in individual efforts and winning probability in the Association of Tennis Professionals (ATP) games. ATP players’ personal characteristics and performance from 2011 to 2013 are collected.
Jane Wen-Jhan
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Random effects models for complex designs [PDF]
Statistical Methods in Medical Research, 2020 Plaid designs are characterised by having one set of treatments applied to rows and another set of treatments applied to columns. In a 2003 publication, Farewell and Herzberg presented an analysis of variance structure for such designs. They presented an example of a study in which medical practitioners, trained in different ways, evaluated a series of
RG Jarrett, VT Farewell, AM Herzberg
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Estimating the Demand for Health Care with Panel Data: A Semiparametric Bayesian Approach [PDF]
, 2003 This paper is concerned with the problem of estimating the demand for health care with panel data. A random effects model is specifed in a semiparametric Bayesian fashion using a Dirichlet process prior. This results in a very exible mixture distribution
Jochmann, M., Leon-Gonzalez, R.
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Building an Efficient Model by Using Panel Data
Cihan University-Erbil Journal of Humanities and Social Sciences, 2023 The panel data models have gained great attention because they consider the effect of changing time series and the cross-sectional units. It has a higher number of degrees of freedom and is, therefore, more efficient.
Nozad H. Mahmood, Obaid M. Al-Zawbaee
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Linear Mixed Models with Marginally Symmetric Nonparametric Random Effects
, 2016 Linear mixed models (LMMs) are used as an important tool in the data analysis of repeated measures and longitudinal studies. The most common form of LMMs utilize a normal distribution to model the random effects.
McLachlan, Geoffrey J., Nguyen, Hien D.
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کاربرد تحلیل پاسخهای رتبه ای طولی در درمان دارویی اختلالات روانی بر بیماری لیکن پلان دهانی [PDF]
Journal of Mashhad Dental School, 2011 مقدمه:در بسیاری از تحقیقات علوم پزشکی برای بیان سیر بیماری و تأثیر درمان از مطالعات طولی استفاده میشود. در مطالعات طولی پاسخها به طور مکرر اندازهگیری میشوند.
حبیب الله اسماعیلی +4 more
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DeReMa (Development Research of Management): Jurnal ManajemenThis study investigates whether traditional financial ratios remain valid predictors of stock prices in speculative market environments, focusing on third-liner stocks listed on the Indonesia Stock Exchange (IDX) from 2012 to 2019.
Franse franse +5 more
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R2MLwiN: A Package to Run MLwiN from within R
Journal of Statistical Software, 2016 R2MLwiN is a new package designed to run the multilevel modeling software program MLwiN from within the R environment. It allows for a large range of models to be specified which take account of a multilevel structure, including continuous, binary ...
Zhengzheng Zhang +4 more
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