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@(@\newcommand{\B}[1]{ {\bf #1} } \newcommand{\R}[1]{ {\rm #1} } \newcommand{\W}[1]{ \; #1 \; }@)@ This is dismod_at-20221105 documentation: Here is a link to its current documentation .
Prevalence Does Not Depend On Other Cause Mortality

Lemma
Proof

Lemma
Suppose @(@ \iota (t) \geq 0 @)@, @(@ \omega (t) \geq 0 @)@ and @(@ \chi(t) \geq 0 @)@ are known functions. Define @(@ S(t) @)@ by @(@ S(0) = s_0 > 0 @)@ and @[@ S'(t) = - [ \iota (t) + \omega (t) ] S(t) @]@ Define @(@ C(t) @)@ by @(@ C(0) = c_0 > 0 @)@ and @[@ C'(t) = + \iota (t) S(t) - [ \chi (t) + \omega (t) ] C(t) @]@ Define @(@ P(t) @)@ by @(@ P(t) = C(t) / [ S(t) + C(t) ] @)@ It follows that @(@ P(t) @)@ does not depend on the value of @(@ \omega (t) @)@.

Proof
It follows that @(@ S(t) > 0 @)@, @(@ C(t) > 0 @)@ for all @(@ t @)@ and @[@ P(t) = 1 / [ 1 + S(t) / C(t) ] @]@ Define @(@ Q(t) = C(t) / S(t) @)@. It suffices to show that @(@ Q(t) @)@ does not depend on @(@ \omega(t) @)@. Taking the derivative of @(@ Q(t) @)@ we have @[@ Q'(t) = [ C'(t) S(t) - S'(t) C(t) ] / S(t)^2 @]@ Dropping the dependence on @(@ t @)@ we have @[@ \begin{array}{rcl} Q' & = & [ + \iota S S - ( \chi + \omega ) C S + ( \iota + \omega ) S C ] / S^2 \\ & = & [ + \iota S - ( \chi + \omega ) C + ( \iota + \omega ) C ] / S \\ & = & \iota + ( \iota - \chi ) Q \end{array} @]@ So @(@ Q(t) @)@ satisfies the equation @(@ Q(0) = c_0 / s_0 @)@ and @[@ Q'(t) = \iota(t) + [ \iota(t) - \chi (t) ] Q(t) @]@ If follows that @(@ Q(t) @)@ does not depend on @(@ \omega (t) @)@ which completes the proof.
Input File: omh/model/prev_depend.omh