Transition probability from a constant rate

Converts a constant event rate into the probability that the event occurs within an interval of length Delta, among people at risk at the start of the interval. The function exp is the exponential function.

Signature

p = 1 - exp(-h * Delta)
Inputs
InputsDefinitionUnit
hConstant hazard (instantaneous rate) of the event among people still at riskevents per person per unit of time, for example per year
DeltaLength of the interval, usually the model cycle length, in the same time unit as htime, for example years
Output
pProbability that a person at risk at the start of the interval has the event before its endprobability from 0 to 1

Function

Rate and transition probability conversion function

Maps an event rate and a time interval to the probability that the event occurs within that interval, and back again. Rates are converted rather than probabilities divided, because a probability is tied to the length of the interval over which it was observed. The converted probability then enters a transition matrix used in the cohort update s_(t+1) = s_t P described on the Markov Model page.

Implementations

  • Excel

    Probability from a rate in one cell

    Excel returns the interval probability from named cells holding the rate and the interval length in matching units.

    =1-EXP(-Rate*CycleLength)

Assumptions

  • Constant hazard across the interval

    The rate h does not change within the interval. When the hazard changes with age or time since an event, the conversion is applied cycle by cycle with the rate for each cycle, or the probability is taken from a fitted survival curve.

  • One exit from the starting state

    The formula describes a single event that removes the person from the starting state. When a state has two or more exits, each exit probability comes from the joint formula for competing hazards on this page, not from this formula applied to each exit separately.

Worked examples

  • Annual cycle at a rate of 0.10 per year

    A constant rate of 0.10 per year gives a one-year probability of about 0.0952, slightly below the rate because people who have the event early in the year are no longer at risk. The figure matches the comparator probability in the Hazard Ratio article.

    h = 0.10; Delta = 1; p = 0.0952
  • Three-month cycle at a total exit rate of 0.20

    A constant total exit rate of 0.20 per year over a three-month cycle gives a probability of leaving the state of about 0.04877, the total exit probability in the article's competing-risks example.

    h = 0.20; Delta = 0.25; p = 0.04877

Common errors

  • Using the rate itself as a probability

    Entering a rate directly as a per-cycle probability overstates the risk, and can exceed 1 at high rates. At a rate of 1 per year the one-year probability is about 0.632, not 1.

Sources

  • Rate and probability equations for two-state transitions

    Gidwani R, Russell LB. Estimating transition probabilities from published evidence: a tutorial for decision modelers. PharmacoEconomics. 2020;38(11):1153-1164. Section on the probability-rate equations when there are two state transitions (equations 8 to 10).

    View source →

  • Conversion between rates and probabilities in economic models

    Fleurence RL, Hollenbeak CS. Rates and probabilities in economic modelling: transformation, translation and appropriate application. PharmacoEconomics. 2007;25(1):3-6.

    View source →

Canonical Identity

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