Advantages of Binomial Likelihood Maximization for Analyzing and Modeling Cell Survival Curves

Radiation Research

Volumn 185, Issue 3, 2016, Pages 246-256

  Shuryak, Igor ^a   Sun, Youping ^b   Balajee, Adayabalam S ^c  

^a Columbia University ^*  (United States)

^b Department of Medicine   (United States)

^c OAK RIDGE INSTITUTE FOR SCIENCE AND EDUCATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA DEPENDENT PROTEIN KINASE; HISTONE H2AX; H2AX PROTEIN, MOUSE; HISTONE;

ANIMAL CELL; ARTICLE; BINOMIAL LOG LIKELIHOOD METHOD; BREAST CANCER; CELL POPULATION; CELL SURVIVAL; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; HUMAN CELL; LINEAR QUADRATIC MODEL; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; MOUSE; MOUSE EMBRYONIC STEM CELL; NONHUMAN; PRIORITY JOURNAL; RADIATION DOSE; SAMPLE SIZE; STATISTICAL MODEL; SURVIVAL RATE; ANIMAL; CELL LINE; COMPUTER SIMULATION; GENETICS; PROBABILITY; RADIATION RESPONSE; RADIOBIOLOGY; REGRESSION ANALYSIS; THEORETICAL MODEL;

ANIMALS; CELL LINE; CELL SURVIVAL; COMPUTER SIMULATION; DNA-ACTIVATED PROTEIN KINASE; HISTONES; HUMANS; MICE; MODELS, THEORETICAL; MONTE CARLO METHOD; PROBABILITY; RADIOBIOLOGY; REGRESSION ANALYSIS;

EID: 84979746786     PISSN: 00337587     EISSN: 19385404     Source Type: Journal    
DOI: 10.1667/RR14195.1     Document Type: Article

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