In this study, measurement was done on each subject at 3 time points (0, 4 and 80 hours). Each subject was then checked for some event. The data is in following form:

Subject    Time    Value   Event
     1       0h      100     Yes
     2       0h       55     Yes
     1       4h       54      No
     2       4h      116      No
     1      80h      117     Yes

Question is whether higher (or lower) value is related to occurrence of event?

Since this is repeated measurement, it will have to be mixed regression. Since outcome is binary, logistic regression is needed.

How do I analyze above data?

Edit: To clarify the role of time: Value may be related to time. Amount/level of Value affecting Event may vary with time. Hence, lower Value may lead to event at time 0 than at later time. Hence, time affects value and value affects events. Time does not directly affect events. How can this be incorporated in analysis?