query: Offset in binomial model
positive_passages.docid: 148783
positive_passages.text: Using offset in binomial model to account for increased numbers of patients
negative_passages.docid: 13097
negative_passages.text: Confidence interval around binomial estimate of 0 or 1
negative_passages.docid: 56317
negative_passages.text: Intuitive explanation of binomial coefficient formula
negative_passages.docid: 17551
negative_passages.text: Truncated alternating binomial sum
negative_passages.docid: 130013
negative_passages.text: Nonlinear regression model linear in some parameters
negative_passages.docid: 42606
negative_passages.text: Orthogonality for Binomial Coefficients
negative_passages.docid: 31272
negative_passages.text: Why does the continuity correction (say, the normal approximation to the binomial distribution) work?
negative_passages.docid: 57834
negative_passages.text: In a Poisson model, what is the difference between using time as a covariate or an offset?
negative_passages.docid: 1896
negative_passages.text: Is there an equivalent to Kruskal Wallis one-way test for a two-way model?
negative_passages.docid: 126214
negative_passages.text: Multiplying Binomial Terms
negative_passages.docid: 2138
negative_passages.text: Modelling when the dependent variable has a "cut-off"
negative_passages.docid: 142664
negative_passages.text: normal approximation to the binomial distribution: why np>5?
negative_passages.docid: 29694
negative_passages.text: Expected Value of a Binomial distribution?
negative_passages.docid: 41861
negative_passages.text: Row Offset in SQL Server
negative_passages.docid: 27791
negative_passages.text: Intercept term in logistic regression
negative_passages.docid: 25044
negative_passages.text: ANOVA on binomial data
negative_passages.docid: 36658
negative_passages.text: Help me understand how to apply a beta-binomial model in order to estimate a parameter when there are several Bernoulli trials?