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A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo +7 more
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Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientation. [PDF]
Schultheiss DL +3 more
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Locating the microbes along the maize root system under nitrogen limitation: a root phenotypic approach. [PDF]
Galindo-Castañeda T +5 more
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Soil physical properties of Austrian soils: Overview based on a comprehensive agricultural soil database. [PDF]
Darmann F +4 more
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Fault-induced detection method for power supply lines in the cutting unit of coal shearer based on PIO-VMD-EDO. [PDF]
Wang Y +6 more
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Effects of sampling methods on bee pollinators observed in <i>Cucurbita pepo</i>. [PDF]
Walls C, Kuhar T, Roulston T, Wilson J.
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Estimation of location difference for fragmentary samples
Biometrika, 1981Abstract : A class of simple and robust estimators of the difference between location parameters of correlated variables is proposed when some observations on either of the variables are missing. We show that these estimators are consistent, asymptotically normally distributed, and insensitive to outlying observations.
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Location-Shifts in Sampling with Unequal Probabilities
Journal of the Royal Statistical Society. Series A (General), 1986The author studies the well-known problem of variance minimization in sampling for population mean estimation from a rather uncommon point of view. He shows that in sampling with unequal probabilities a location- shift of the variable of interest may cause variance reduction both in sampling with and without replacement (the latter case with a bit more
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A two-sample test for location
Communications in Statistics - Theory and Methods, 1988A new test that is based on U-statistics is oroposed for the two-sample local, on problem. This test is sensitive to heavy-tailed distributions.
I.D. Shelty, Z. Govindarajulu
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