fix-math-rendering

docs/Survival analysis with lifelines.rst

@@ -494,11 +494,11 @@ Fitting to a Weibull model
 Another very popular model for survival data is the Weibull model. In contrast the the Nelson-Aalen estimator, this model is a *parametric model*, meaning it has a functional form with parameters that we are fitting the data to. (The Nelson-Aalen estimator has no parameters to fit to). Mathematically, the survival function looks like:
 
 
- ..math::  S(t) = \exp\left(-(\lambda t)^\rho\right),   \lambda >0, \rho > 0,
+.. math::  S(t) = \exp\left(-(\lambda t)^\rho\right),   \lambda >0, \rho > 0,
 
 * A priori*, we do not know what :math:`\lambda` and :math:`\rho` are, but we use the data on hand to estimate these parameters. In fact, we actually model and estimate the cumulative hazard rate instead of the survival function (this is different than the Kaplan-Meier estimator):
 
- ..math::  H(t) = (\lambda t)^\rho,  \lambda >0, \rho > 0,
+.. math::  H(t) = (\lambda t)^\rho,  \lambda >0, \rho > 0,
 
 In lifelines, estimation is available using the ``WeibullFitter`` class. The ``plot`` method will plot the cumulative hazard.