scholarly journals MOVER confidence intervals for a difference or ratio effect parameter under stratified sampling

2021 ◽  
Author(s):  
Yongqiang Tang
Keyword(s):  
Confidence Intervals ◽  
Stratified Sampling ◽  
Ratio Effect ◽  
Effect Parameter

Inference for treatment effect parameters in potentially misspecified high-dimensional models

Biometrika ◽  
2020 ◽  
Author(s):  
Oliver Dukes ◽  
Stijn Vansteelandt
Keyword(s):  
Sample Size ◽  
Confidence Intervals ◽  
Treatment Effect ◽  
Observational Studies ◽  
Treatment Effects ◽  
Treatment Selection ◽  
High Dimensional ◽  
Selection Mechanism ◽  
Dimensional Models ◽  
Effect Parameter

Summary Eliminating the effect of confounding in observational studies typically involves fitting a model for an outcome adjusted for covariates. When, as often, these covariates are high-dimensional, this necessitates the use of sparse estimators, such as the lasso, or other regularization approaches. Naïve use of such estimators yields confidence intervals for the conditional treatment effect parameter that are not uniformly valid. Moreover, as the number of covariates grows with the sample size, correctly specifying a model for the outcome is nontrivial. In this article we deal with both of these concerns simultaneously, obtaining confidence intervals for conditional treatment effects that are uniformly valid, regardless of whether the outcome model is correct. This is done by incorporating an additional model for the treatment selection mechanism. When both models are correctly specified, we can weaken the standard conditions on model sparsity. Our procedure extends to multivariate treatment effect parameters and complex longitudinal settings.

A problem with confidence intervals.

1995 ◽  
Vol 50 (12) ◽  
pp. 1102-1103 ◽  
Author(s):  
Robert W. Frick
Keyword(s):  
Confidence Intervals

PENGARUH PERPUTARAN PIUTANG DAN SOLVABILITAS TERHADAP KONDISI FINANCIAL DISTRESS PERUSAHAAN MANUFAKTUR SEKTOR GARMEN DAN TEKSTIL DI BURSA EFEK INDONESIA

2018 ◽  
Vol 19 (2) ◽  
pp. 87
Author(s):  
Siska Wulandari
Keyword(s):  
Financial Distress ◽  
Free Market ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Working Capital ◽  
Leverage Ratio ◽  
Ratio Effect ◽  
Waste Bank ◽  
Solvency Ratio

Manufacture Sub Sector Garment And Textile have financial distress condition. Increas of sales is one of choice for company can be competitive in free market. But increase of sales will be followed by the many possibilities of uncollected receivable or the low receivable turnover which can effect forced the company to further provide working capital. One way is to get working capital from a third part or what we call debt.This research aims to determine the effect of receivable turnover and the solvency ratio toward the financial distressThe problems of the research were: 1) is the receivable turnover effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015? 2) is the leverage ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015 ? 3) Are the receivable turnover and solvency ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015?The sample of this research is 11 Manufacture company of sub sector Garmen And Textile were taken by using purposive sampling techniques. This research data used secondary data that getting from literature review. Data were tested using multiple linear regression analysis to determine the effect between one variable with another variables, and the data was then processed using SPSS 22.0 for windows.Result of the research showed that partially, receivables turnover hadn’t a significant effect toward  the financial distress. Partially, solvency ratio (Debt to Asset) had a significant influence toward financial distress Simultaneously, receivable turnover and solvency ratio had a significant effect toward financial distress. Kata kunci:Waste Bank, Waste Bank Management, Waste Bank Basic Concepts, Economic Improvement of the Family

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