Results 71 to 80 of about 137,004 (252)
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sampling using information on population means of two auxiliary variables.
Rajesh Tailor +3 more
doaj +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
This paper suggests a ratio-cum-product estimator of finite population mean using a correlation coefficient between study variate and auxiliary variate in stratified random sampling.
Rajesh Tailor
doaj +1 more source
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Estimators for a Finite Population Variance and sample size in Stratified Random Sampling (SRS) [PDF]
This paper is concerned with the methods of the sample size calculations, especially through proposed estimator which depends in its formation on finite population variance in stratified random sample.
doaj +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Variance-Optimal Offline and Streaming Stratified Random Sampling
Stratified random sampling (SRS) is a fundamental sampling technique that provides accurate estimates for aggregate queries using a small size sample, and has been used widely for approximate query processing. A key question in SRS is how to partition a target sample size among different strata.
Nguyen, Trong +4 more
openaire +3 more sources
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
A Generalized Class of Estimators for Estimating Population Mean in the Presence of Non-Response
Koyuncu and Kadilar proposed an estimator based on single auxiliary variable with complete response in stratified random sampling. In this paper, we extended Koyuncu and Kadilar’s estimator to a more generalized class of estimators using two auxiliary ...
Iram Saleem +2 more
doaj +1 more source
WILCOXON ESTIMATOR BASED ON STRATIFIED RANDOM SAMPLE
Let population with continuous and symmetric c.d.f. F(X-θ) be classified into preassigned number L of strata. Let Zi1, Zi2,...,Zini. be ni independent observations from the i-th stratum (i=1∼L).
openaire +2 more sources

