Markov Models and Cost Effectiveness Analysis: Applications in Medical Research |
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The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all
methods in RHidden Markov Models for Time Series: An Introduction Using R applies …

Modelling based on finite mixture distributions is a rapidly developing area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …

Time-constant assumptions in discrete-response heterogeneity models can often be
violated. To address this, a time-varying heterogeneity approach to model unobserved …

In digital medicine, patient data typically record health events over time (eg, through
electronic health records, wearables, or other sensing technologies) and thus form unique …

As firms become more customer-centric, concepts such as customer equity come to the fore.
Any serious attempt to quantify customer equity requires modeling techniques that can …

In a clinical trial of a treatment for alcoholism, the usual response variable of interest is the
number of alcoholic drinks consumed by each subject each day. Subjects in these trials are …

Once elected, congresspeople face choices about how to allocate their time and effort. What
is the right balance between working in the district and on Capitol Hill? How much …

People are living longer than ever before, and with this arises new complications and
challenges for humanity. Among the most pressing of these challenges is of understanding …