Selected article for: "log logistic and logistic function"

Author: Timothy A. Dinh; Ramja Sritharan; F. Donelson Smith; Adam B. Francisco; Rosanna K. Ma; Rodica P. Bunaciu; Matt Kanke; Charles G. Danko; Andrew P. Massa; John D. Scott; Praveen Sethupathy
Title: Hotspots of aberrant enhancer activity in fibrolamellar carcinoma reveal molecular mechanisms of oncogenesis and intrinsic drug resistance
  • Document date: 2020_1_18
  • ID: bf4qpsy7_88
    Snippet: Statistical analyses were performed using R (3.5.0). Statistical significance was primarily determined by two-sided Welch's t-tests or Mann-Whitney U tests as indicated in the figure legends. All alternative statistical tests that were used are noted in the text or figure legends. Statistical comparisons between dose response curves were performed using the R package drc (3.0-1) by fitting log-logistic models (with the LL.4 function) to the data......
    Document: Statistical analyses were performed using R (3.5.0). Statistical significance was primarily determined by two-sided Welch's t-tests or Mann-Whitney U tests as indicated in the figure legends. All alternative statistical tests that were used are noted in the text or figure legends. Statistical comparisons between dose response curves were performed using the R package drc (3.0-1) by fitting log-logistic models (with the LL.4 function) to the data. Two models were fit to the data (one with and one without siRNA) and were compared using a F-test (with the anova function) to determine statistical significance. P<0.05 was considered statistically significant unless otherwise noted. *p<0.05, **p<0.01, ***p<0.001.

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