Results 171 to 180 of about 7,710 (298)

Optimized framework for evaluating F3 transgressive segregants in cayenne pepper. [PDF]

BMC Plant Biol
Ridwan I, Farid M, Haring F, Widiayani N, Yani A, Amier N, Ikhlasul Amal MA, Hendra J, Ali N, Alenazi MM, Seleiman MF, Suwarno WB, Anshori MF.   +12 more
europepmc   +1 more source

Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data

Canadian Journal of Statistics, EarlyView.
Abstract Balancing data privacy with public access is critical for sensitive datasets. However, even after de‐identification, the data are still vulnerable to, for example, inference attacks (by matching some keywords with external datasets). Statistical disclosure control (SDC) methods offer additional protection, and the post‐randomization method ...
Qinglong Tian, Jiwei Zhao
wiley   +1 more source

Low density marker-based effectiveness and efficiency of early-generation genomic selection relative to phenotype-based selection in dolichos bean (Lablab purpureus L. Sweet). [PDF]

Plant Genome
Kalpana MP, Ramesh S, Siddu CB, Basanagouda G, Madhusudan K, Sathish H, Sindhu D, Kemparaju M, Anilkumar C.   +8 more
europepmc   +1 more source

Predicting rare events using training data from stratified sampling designs, with application to human‐caused wildfire prediction

Canadian Journal of Statistics, EarlyView.
Abstract Response‐based sampling is often used in modelling rare events from large, imbalanced data for efficiency. When modelling the event with logistic regression, the sampling design may be adjusted for using sampling weights or an offset. We propose a stratified sampling design for modelling rare events with large data which improves on previous ...
Johanna de Haan‐Ward, Douglas G. Woolford, Simon J. Bonner   +2 more
wiley   +1 more source

Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs. [PDF]

Genet Sel Evol
Guo X, Sarup P, Bay Nord A, Henryon M, Ostersen T, Christensen OF.   +5 more
europepmc   +1 more source

FRAME: Framework for Real‐World Evidence Assessment to Mitigate Evidence Uncertainties for Efficacy/Effectiveness – An Evaluation of Regulatory and Health Technology Assessment Decision Making

Clinical Pharmacology &Therapeutics, EarlyView.
Real‐World Evidence (RWE) is increasingly used in submissions to regulatory agencies and health technology assessment bodies (HTAbs) to support the efficacy and effectiveness of new medicines and indications. However, there is limited information on the RWE characteristics that impact its role in approval and reimbursement decisions.
Gianmario Candore, Claire Martin, Mack J. Mills, Annabel Suter, Anna Lloyd, Danitza Chavez‐Montoya, Diego Civitelli, Birgit Wolf, Paul Bolot, Juergen Wasem, Montse Soriano Gabarró, Panos G. Kanavos, Mark Sculpher   +12 more
wiley   +1 more source

A novel quantitative trait locus for barley yellow dwarf virus resistance and kernel traits on chromosome 2D of a wheat cultivar Jagger. [PDF]

Plant Genome
Bian R, Liu N, Xu Y, Su Z, Chai L, Bernardo A, St Amand P, Rupp J, Pumphrey M, Fritz A, Zhang G, Jordan KW, Bai G.   +12 more
europepmc   +1 more source

Best Linear Unbiased Estimators for the Multiple Linear Regression Model using Ranked Set Sampling with a Concomitant Variable

, 2007
Y. A. ÖZDEMİR, A. A. ESİN
openalex   +1 more source

Correcting environmental sampling bias improves transferability of species distribution models

Ecography, EarlyView.
Sampling bias is an inherent problem in widely available biodiversity data, undermining the robustness of correlative species distribution models (SDMs). To some extent, subsampling occurrence data can account for uneven sampling efforts; yet, conventional approaches subsample in geographical space, while subsampling in environmental space remains ...
Arman Pili, Boris Leroy, Damaris Zurell
wiley   +1 more source

Family-based genome-wide association study designs for increased power and robustness. [PDF]

Nat Genet
Guan J, Tan T, Nehzati SM, Bennett M, Turley P, Benjamin DJ, Young AS.   +6 more
europepmc   +1 more source