Description Usage Arguments Value References Examples
Fit homogeneous-pools logistic regression model described by Weinberg & Umbach (1999).
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g |
Numeric vector with pool sizes, i.e. number of members in each pool. |
y |
Numeric vector with poolwise |
x |
Numeric matrix with poolwise |
method |
Character string specifying method to use for estimation.
Choices are "glm" for |
prev |
Numeric value specifying disease prevalence, allowing
for valid estimation of the intercept with case-control sampling. Can specify
|
samp_y1y0 |
Numeric vector of length 2 specifying sampling probabilities
for cases and controls, allowing for valid estimation of the intercept with
case-control sampling. Can specify |
estimate_var |
Logical value for whether to return variance-covariance matrix for parameter estimates. |
start |
Numeric value specifying starting values for parameters. Only
used if |
lower |
Numeric value specifying lower bounds for parameters. Only used
if |
upper |
Numeric value specifying upper bounds for parameters. Only used
if |
nlminb_list |
List of arguments to pass to |
hessian_list |
List of arguments to pass to
|
List containing:
Numeric vector of parameter estimates.
Variance-covariance matrix (if estimate_var = TRUE
).
Fitted glm
object (if method = "glm"
) or
returned nlminb
object (if method = "ml"
).
Akaike information criterion (AIC).
Weinberg, C.R. and Umbach, D.M. (1999) "Using pooled exposure assessment to improve efficiency in case-control studies." Biometrics 55: 718–726.
Weinberg, C.R. and Umbach, D.M. (2014) "Correction to 'Using pooled exposure assessment to improve efficiency in case-control studies' by Clarice R. Weinberg and David M. Umbach; 55, 718–726, September 1999." Biometrics 70: 1061.
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