登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Multiple regression coefficients and inferential statistics for all predictors and covariates in study 1.
Multiple regression coefficients and inferential statistics for all predictors and covariates in study 1.
收藏
Figshare
2018-11-27 更新
2026-04-29 收录
多元回归分析
统计建模
数据链接:
https://figshare.com/articles/dataset/Multiple_regression_coefficients_and_inferential_statistics_for_all_predictors_and_covariates_in_study_1_/7389284
数据链接
链接失效反馈
官方服务:
问题咨询
购买咨询
在线客服
NEW
资源简介:
Standardized coefficients are displayed.
应用场景:
创建时间:
2018-11-27
相关数据集
Appendix D. The parameter estimates from the model fits with their AICc's.
统计建模
模型评估
The parameter estimates from the model fits with their AICc's.
DataCite Commons
2020-09-04 更新
9
0
Additional file 6 of Comparison of statistical low-frequency earthquake activity models
地震活动
统计建模
Additional file 6: Table S5. Hybrid model parameter estimates.
DataCite Commons
2024-08-15 更新
8
0
A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial
统计建模
临床试验
We develop a Bayesian nonparametric model for a longitudinal response in the presence of nonignorable missing data. Our general approach is to first specify a working model that flexibly models the mi
DataCite Commons
2020-09-04 更新
7
0
Appendix G. Details of comparisons among final capture–recapture models (four-state models).
生态学
统计建模
Details of comparisons among final capture–recapture models (four-state models).
DataCite Commons
2020-09-03 更新
8
0
Quasi-maximum likelihood estimates and standard errors for the maize model.
统计建模
农业
Quasi-maximum likelihood estimates and standard errors for the maize model.
NIAID Data Ecosystem
7
0
© 2023-2026 上海数据发展科技有限责任公司 版权所有
沪ICP备17003045号-15
沪公网安备31010402336585号
热门搜索
社区交流群
科研交流群
商业服务
数据资源
寻源服务
数据采集
标注服务
数据产品
代理销售
数据领域
凭证登记
数据产品
介绍推广