找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Quantile Regression in Clinical Research; Complete analysis fo Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2021 The Editor(s) (if applica

[復(fù)制鏈接]
樓主: aspirant
11#
發(fā)表于 2025-3-23 11:12:50 | 只看該作者
12#
發(fā)表于 2025-3-23 15:10:47 | 只看該作者
13#
發(fā)表于 2025-3-23 18:59:38 | 只看該作者
14#
發(fā)表于 2025-3-24 01:31:48 | 只看該作者
15#
發(fā)表于 2025-3-24 06:26:09 | 只看該作者
16#
發(fā)表于 2025-3-24 08:15:00 | 只看該作者
Discrete Trend Testing Versus Quantile Regression multiple drugs from one class with different potencies, or different formulas from one drug with various bio-availabilities and other pharmacokinetic properties. In such situations small differences in efficacies are to be expected, and we need, particularly, sensitive tests. A standard approach to
17#
發(fā)表于 2025-3-24 10:49:44 | 只看該作者
18#
發(fā)表于 2025-3-24 18:12:33 | 只看該作者
Binary Poisson/Negative Binomial Regressions Versus Quantileby the first treatment performed better than the second although hardly at a significant level. Binary Poisson analysis in Generalized Linear Models provided a slightly better p-values of 0.039. As alternative to binary Poisson, the closely related negative binomial model was used. It produced the s
19#
發(fā)表于 2025-3-24 20:31:49 | 只看該作者
20#
發(fā)表于 2025-3-25 02:15:44 | 只看該作者
Optimal Scaling Versus Quantile Regressioncan be scored on different outcome scales between 0 and 10. Often the relationship between outcome and predictor can be optimized in order for the predictor to better fit the outcome. Optimal scaling can be replaced or supplemented with quantile regressions. In the data example of this chapter the b
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 07:44
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
科技| 冷水江市| 兴安县| 舟山市| 灵武市| 曲沃县| 桃源县| 襄樊市| 泰来县| 长海县| 盐池县| 绍兴县| 鸡泽县| 平利县| 宁强县| 孝感市| 托里县| 新蔡县| 酉阳| 信丰县| 新竹县| 彭泽县| 肥乡县| 清流县| 察雅县| 扎鲁特旗| 揭阳市| 金平| 天津市| 墨江| 牙克石市| 浙江省| 莱西市| 台山市| 河北省| 永昌县| 屏边| 松潘县| 台山市| 永春县| 新源县|