Displaying 8 results from an estimated 8 matches for "tsiatis".
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osiatis
2008 Feb 20
0
New Package 'JM' for the Joint Modelling of Longitudinal and Survival Data
...al submodel to be fitted and the type of the
numerical integration technique; available options are:
* "ph-GH": the time-dependent version of a proportional hazards
model with unspecified baseline hazard function. This option
corresponds to the joint model proposed by Wulfsohn and Tsiatis,
Biometrics, 1997.
* "weibull-GH": the Weibull model under the accelerated failure
time formulation.
* "ch-GH" and "ch-Laplace": an additive log cumulative hazard
model, in which the log cumulative baseline hazard is approximated
using B-splines.
For &qu...
2008 Feb 20
0
New Package 'JM' for the Joint Modelling of Longitudinal and Survival Data
...al submodel to be fitted and the type of the
numerical integration technique; available options are:
* "ph-GH": the time-dependent version of a proportional hazards
model with unspecified baseline hazard function. This option
corresponds to the joint model proposed by Wulfsohn and Tsiatis,
Biometrics, 1997.
* "weibull-GH": the Weibull model under the accelerated failure
time formulation.
* "ch-GH" and "ch-Laplace": an additive log cumulative hazard
model, in which the log cumulative baseline hazard is approximated
using B-splines.
For &qu...
2012 Sep 18
0
New Package 'JMbayes' for the Joint Modeling of Longitudinal and Survival Data under a Bayesian approach
...d by argument 'survMod').
* In addition, argument 'param' of jointModelBayes() specifies the
association structure between the longitudinal and survival processes;
available options are:
- "td-value" which is the classic joint model formulation used in
Wulfsohn and Tsiatis (1997);
- "td-extra" which is a user-defined, possibly time-dependent, term
based on the specification of the 'extraForm' argument of
jointModelBayes(). This could be used to include terms, such as the
time-dependent slope (i.e., the derivative of the subject-specific
lin...
2012 Sep 18
0
New Package 'JMbayes' for the Joint Modeling of Longitudinal and Survival Data under a Bayesian approach
...d by argument 'survMod').
* In addition, argument 'param' of jointModelBayes() specifies the
association structure between the longitudinal and survival processes;
available options are:
- "td-value" which is the classic joint model formulation used in
Wulfsohn and Tsiatis (1997);
- "td-extra" which is a user-defined, possibly time-dependent, term
based on the specification of the 'extraForm' argument of
jointModelBayes(). This could be used to include terms, such as the
time-dependent slope (i.e., the derivative of the subject-specific
lin...
2009 Feb 05
4
See source code for survplot function in Design package
Dear R users,
I know one way to see the code for a hidden function, say function_x,
is using default.function_x (e.g. summary.default). But how can I see
the code for imported packages that have no namespace (in this case
Design)?
Many Thanks
Eleni
2009 Sep 15
2
wilcox.test p-value = 0
hi, folks,
how have you gone about reporting a p-value from a test when the
returned value from a test (in this case a rank-sum test) is
numerically equal to 0 according to the machine?
the next lowest value greater than zero that is distinct from zero on
the machine is likely algorithm-dependent (the algorithm of the test
itself), but without knowing the explicit steps of the algorithm
2008 Jan 08
0
PwrGSD
...tial trials
There are two main functions,
(1) GrpSeqBnds: computes group sequential stopping boundaries for interim
analysis of a sequential trial based upon a normally distributed test
statistic. This can be done via the Lan-Demets procedure with
Obrien-Fleming, Pocock or Wang-Tsiatis spending. This can also be
done via boundaries created to correspond with the stochastic
curtailment procedure.
(2) PwrGSD (same as the package name) which computes operating
characteristics such as power, expected duration, weighted avergage
relative risks at the boun...
2008 Jan 08
0
PwrGSD
...tial trials
There are two main functions,
(1) GrpSeqBnds: computes group sequential stopping boundaries for interim
analysis of a sequential trial based upon a normally distributed test
statistic. This can be done via the Lan-Demets procedure with
Obrien-Fleming, Pocock or Wang-Tsiatis spending. This can also be
done via boundaries created to correspond with the stochastic
curtailment procedure.
(2) PwrGSD (same as the package name) which computes operating
characteristics such as power, expected duration, weighted avergage
relative risks at the boun...