找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 02:18
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
张家港市| 赣州市| 东至县| 含山县| 巧家县| 昌平区| 长泰县| 青岛市| 广宗县| 台山市| 彭州市| 漠河县| 临朐县| 磴口县| 大冶市| 印江| 会东县| 鄂托克前旗| 会理县| 马关县| 岳普湖县| 许昌县| 苍梧县| 苗栗县| 苏尼特右旗| 连州市| 泾源县| 盐山县| 邓州市| 沁阳市| 浠水县| 汝州市| 灵山县| 利辛县| 慈溪市| 顺义区| 长兴县| 永嘉县| 竹山县| 农安县| 安泽县|